Open Access

An Efficient Scheduling Scheme to Enhance the Capacity of VoIP Services in Evolved UTRA Uplink

EURASIP Journal on Wireless Communications and Networking20082008:732418

DOI: 10.1155/2008/732418

Received: 14 July 2007

Accepted: 27 March 2008

Published: 20 April 2008

Abstract

An efficient scheduling scheme is proposed to increase the available capacity of VoIP services over evolved UTRA uplink. On top of the advantages of persistent scheduling, the proposed scheme adaptively share the resources of two VoIP users to get early-termination gain of dynamic scheduler. Through system-level simulations, the performance of the proposed algorithm is evaluated in terms of the capacity enhancement of VoIP services. Comparisons with the original persistent scheduling and the HSUPA scheduler reveal that the proposed scheme increases the capacity of VoIP services up to 20%.

1. Introduction

Evolved universal terrestrial radio access (E-UTRA), which is known as long-term evolution (LTE) of third-generation cellular system, is being specified by the third generation partnership project (3GPP). In September 2006, the study item of the LTE has been completed and the corresponding work item was scheduled to be finalized within about one and a half years, that is the second half of 2007, so that the subsequent initial deployment can be possible in the year of 2009 or 2010. The E-UTRA is regarded as the preliminary version of next generation wireless communication system because of its capability to satisfy demand for higher user bit rates [1, 2]. In order to obtain such higher user bit rates, the E-UTRA is being designed by only packet-switched (PS) network without circuit mode, requiring that all the available LTE services should be implemented on top of internet protocol (IP). At this point, the transmission of real-time data such as voice traffic through PS IP network becomes arguably the hottest issue today because voice over IP (VoIP) has high visibility in consumer space.

Managing such real-time data transmission, scheduling algorithm at medium access control layer can be a core function because the algorithm directly controls the level of quality-of-service (QoS). As a basic scheduling scheme for packet-based services, proportional fairness (PF) scheduler was designed to support the high data rate of 3GPP2 wireless system in [3]. The PF scheduler provides effectiveness from the view point of throughput and fairness by judiciously selecting frames based on the average and the instantaneous data rate of each user. Because of its simple yet effective scheduling capability, the scheme is still being used in the LTE as dynamic scheduler. However, such dynamic scheduler could provide limited performance for some delay sensitive real-time services in that the scheduling algorithm passed over delay constraint in its frame prioritization.

To cope with such delay problem and to satisfy the specific QoS parameter of maximum allowable service delay, the author proposed a frame bundling scheme in [4]. The scheme modified PF scheduler such that the estimated delay of each user controls the priority of frame schedule with frame bundling according to the user's channel condition, resulting in the significant enhancement of the capacity of VoIP over high-speed downlink packet access network. Nevertheless, this work did not reflect on the overhead of control signaling, although it grows fast as the number of VoIP users increases. Note that the control signaling is required to assign and distribute resources for each user at every transmission time interval (TTI), and the TTI is usually very short, that is, 1 millisecond in most of the emerging systems. This overhead may degrade the spectral efficiency of radio systems seriously, making its minimization essential to the enhancement of systems performance.

As a method to reduce such control signaling overhead, persistent scheduling scheme has been investigated in [5, 6]. By use of the inherent characteristics of voice traffic such as frame size and period, the scheme efficiently reduced control channel signaling overhead. With the aid of such overhead reduction, the persistent scheduling scheme has been discussed as an option for VoIP services in E-UTRA uplink. However, such persistent resource allocation makes lack of early-termination gain, bringing about the waste of frequency resources with the reduced fairness of users. This is because the allocated resources through this persistent scheduling scheme (i.e., the TTI and frequency resource block (RB)-index) are assigned to each VoIP user for a relatively long period of time without changes. Accordingly, the persistent scheduling scheme could limit the capacity of VoIP service using LTE system, and thus more efficient scheduling should be required.

In this paper, an efficient LTE scheduler is proposed to increase the capacity of VoIP in E-UTRA uplink. The proposed scheme modified the persistent scheduling algorithm such that the resources of two VoIP users can be coupled. By letting these coupled resources adaptively shared by the two VoIP users, the proposed scheme achieves a significant amount of early-termination gain without the need of additional control signals.

The remainder of this paper is organized as follows. In the next section, the conventional and the proposed scheduling schemes of E-UTRA uplink system will be described. Then, Section 3 presents the details of simulation configurations and the criteria to measure the capacity of VoIP services. Section 4 follows to discuss the performance of the proposed scheme by system-level simulations. In this section, we also present the comparison results of the proposed algorithm with the original persistent scheduler of LTE as well as that of high-speed uplink packet access (HSUPA) in 3GPP Release'6 [7], which is the latest version of already deployed wireless network, for more thorough comparison. Finally, the conclusion of this paper is drawn in Section 5.

2. Scheduling for VoIP Services in E-UTRA Uplink

This section deals with the question of what kind of resource allocation scheme is suitable for satisfying the required QoS of various services having different transmission characteristics. Those services can be voice, streaming, web-browsing, file transfer, and so on.

2.1. Conventional Dynamic Scheduling

Basically, dynamic resource allocation has been chosen for integrated scheduler of E-UTRA uplink transmission scheme. The integrated scheduler includes packet scheduler, adaptive modulation and coding (AMC) unit, hybrid automatic repeat request (HARQ) manager, power management unit, and buffers [8]. They are all located at eNB to support fast channel-dependent scheduling.

The packet dynamic scheduler is the main and the representative part of such integrated scheduler to select users for the assignment of time/frequency resources at every TTI. Resource block (RB), which consists of 12 subcarriers, is the minimum scheduling granule of such packet scheduler in frequency-domain. With the unit of RB, in E-UTRA uplink, control parameters such as payload sizes and modulation coding sets (MCS) are determined by the eNB's packet dynamic scheduler, depending on queue states in the user's data buffer. Therefore, the reporting of the buffer status to eNB is essential. This allows for all the tight QoS control taken by the eNB and no QoS handling done at user-site.

The algorithm of packet scheduling can be divided into two parts, saying the selection of users and the assignment of RBs. In the users selection procedure, dynamic scheduler chooses a particular user according to his/her priority that is calculated based on the PF algorithm. As for the RBs assignment, the scheduler exploits the benefit of multiuser frequency diversity. To do so, the RBs assignment for selected retransmission is done by picking up relatively good quality of channels for the previous TTI. However, once RBs were allocated to a user, the retransmission packets of HARQ uplink should be maintained until the packets are correctly received or the maximum allowable time interval. This is because the E-UTRA system employed synchronous HARQ and nonadaptive AMC scheme for uplink to reduce the amount of control signals. Due to this limitation, it becomes less flexible to assign good RBs for the retransmission of uplink data, but HARQ combining gain still can benefit the retransmission quality.

However, downlink control channel signaling is classified into two groups to support uplink services. The first group is used to indicate the assigned RB's information. It contains some user specific signals such as user identification (UEID), cyclic redundancy check (CRC), RB assigned frequency-domain location, assignment time-domain duration, modulation, coding, and payload size [2]. Also, this control channel signaling is required at the beginning of each first transmission TTI because of the synchronous HARQ in E-UTRA uplink. The second is used to assign RBs in order to apply ACK/NACK information for uplink data.

2.2. Original Persistent Scheduling

Since the eNB handles a large portion of VoIP users, the amount of the required control channel signals for voice services increases significantly. It is critical that the control channel signaling overhead is minimized as much as possible. Therefore, for voice services, this paper focuses on the persistent resource assignment with the static control signaling. The persistent scheduling is mainly aimed for the voice services. It has been discussed for E-UTRA as a solution to overcome the limitation of layer1/layer2 (L1/L2) control channels.

By definition, the persistent assignment means that the resources are assigned by the eNB's persistent grant for a relatively long period of time (i.e., talk-spurt period). Once an allocation it is not changed regardless of channel quality and queue status except when entering silent period. It is not required to inform the scheduling L1/L2 control channel signals except for the first establishing time [5, 6]. So it is very efficient for the control signaling overhead reduction. The eNB's scheduler can simply use the predefined persistent RBs in the allocated every TTI. The assigned resources are released only when the VoIP user at the talk-spurt state enters the silent state. During the silent period, the silent payloads are transmitted by using the conventional dynamic scheduling method. This is because the L1/L2 control channel signaling overheads are not burden since the period of the silent frame is more than talk-spurt frame (i.e., 160 milliseconds).

An example for the resource assignment scenario according to the original persistent scheduling is illustrated in Figure 1. As you can see the figure, the frequency-domain position and the transmission TTIs of the assigned resources are statically configured. Also, these configurations are repeated in every repeated pattern period. However, these persistent assignments are once coming on when a voice radio bearer is established, and then the configurations are not changed until the state transition. Therefore, the L1/L2 control channel signals are almost not needed in the persistent scheduling scheme.
Figure 1

Resource assignment scenario according to the original persistent scheduling.

Although the persistent scheduling is very efficient to reduce the overheads of L1/L2 control channel signals, it is very inefficient to achieve some dynamic scheduling benefits such as early-termination gain and channel-dependent scheduling. The early-termination gain means that the allocated resources, which are assigned to a scheduled user, can be potentially available to other user when they are not used by the allocated user. It may be efficient in resource utilization. But, in the original persistent scheduling scheme, the allocated resources are not changed during the talk-spurt period. In other words, since the original persistent scheduling does not provide the early-termination gain, the available capacity of VoIP is limited. Therefore, there is a need for a solution to improve the available VoIP capacity.

2.3. A Proposed Scheduling Scheme

2.3.1. Concept of the Proposed Scheduling

In this section, an adaptive resource sharing scheme using user pairing, which can maintain the properties of the original persistent scheduling method, is proposed. Design objective of the proposed scheme is to achieve the early-termination gain by using user pairing of two VoIP users.

An example of the resource assignment scenario with the resource sharing through user pairing is presented in Figure 2. We note from the figure that the RBs are allocated persistently by a unit of the paired user group. This way is different from the original persistent scheduling. Moreover, in each pairing group the authority of the transmitting voice packet through the shared RBs is adjusted adaptively. It is applied by fitting into the event status, which is illustrated in Table 1. Unlike original persistent resource assignment scheme, the authority of the shared RBs can be changed adaptively in each predefined period (i.e., repeated pattern period). In other words, the number of the allocated transmission TTIs can be changed adaptively in accordance with each paired user's packet error at the previous period. Therefore, we can call that the proposed scheduling scheme is a channel-adaptive scheduling method. The repeated pattern period can be set depending on the arrival and discard time of voice packet. Each newly arrived voice packet in the user's data buffer is associated with the packet discard time. The scheduler specifies the maximum time in which an arrived packet is allowed to be buffered in the user data buffer before it should be dropped. In this paper, the repeated pattern period is set by 20 milliseconds, which is the same as the packet arrival time interval. More precisely, the data transmission opportunity for the 1st pairing user in k th pairing group increases when the event 3 status occurs.
Table 1

Event status for indicating the authority of a shared RB.

Number

1st pairing user's

2nd pairing user's

Status

 

ACK channel

ACK channel

 

1

ACK

ACK

Maintaining

2

ACK

NACK

Changing

3

NACK

ACK

Changing

4

NACK

NACK

Maintaining

Figure 2

Resource assignment scenario with a resource sharing through user pairing.

In order to perform the above process, one paired VoIP user in each pairing group only monitors the other paired user's ACK/NACK channel information. So, there is no burden for control channel signaling to change the transmitting authority adaptively. However, the rest resources, except for the shared resources for pairing groups, are used according to the original persistent scheduling rule. Moreover, if the only one user in a pairing group is staying alone because the other paired user's assigned resources are released, the remaining user can be operated according to the original persistent configurations.

2.3.2. User Pairing Method

The resource sharing algorithm that we propose for VoIP services in E-UTRA uplink is designed to obtain the early-termination gain. It can be achieved by employing the user pairing. The user pairing can be classified as two methods basically. One is a random pairing that two supported VoIP users can be paired as a pairing group without any consideration. It does not take into account the individual user radio channel condition, the data buffer status, and the packet transmission delay in making a paired group. The other is a best pairing scheme which pairs two VoIP users to a paired group considering the individual status of user conditions. In this scheme, the best pairing chooses one user under good conditions and the rest under bad status of conditions in making a paired group. In other words, the delay sensitive user, who requires more retransmission opportunities due to a bad channel conditions, is favored by pairing a group with the delay nonsensitive users under a good channel condition. This pairing configuration can increase the number of event 2 or 3 occurrence. So, the discarded packets, which occur because of a timeout of the delay sensitive user, can be reduced by using the shared resources of the delay nonsensitive user. Therefore, best pairing can give a large efficiency to the proposed resource sharing scheduling scheme. However, in this paper the above two pairing methods are compared to each other.

2.3.3. Description of Overall Operation for a Proposed Scheduling Scheme

In this section, we describe the overall procedure of the proposed resource sharing scheduling scheme. The authority adaptation is executed every repeated pattern period. Also, the user pairing can be also adjusted several times of repeated pattern periods. The overall procedure can be described on the eNB-site and user-site, which is summarized as follow.

The Flow on the eNB-Site

  1. (i)

    pair two users according to the user pairing method;

     
  2. (ii)

    assign RBs to each pairing group persistently using the measured priority that can be calculated by the modified PF in [4];

     
  3. (iii)

    scheduler monitors the event status of the paired users in each pairing group;

     
  4. (iv)

    change the transmission authority of shared RBs when they meet the boundary of repeated pattern period and occur event 2 or 3.

     

The Flow on the User-Site

  1. (i)

    monitor his own ACK/NACK channel as well as the ACK/NACK channel allocated to the rest user in a pairing group;

     
  2. (ii)

    change the available transmission RBs when they meet the boundary of repeated pattern period and occur event 2 or 3;

     
  3. (iii)

    transmit VoIP packet using the allocated RBs at his assigned time.

     

2.3.4. Discussion on the Control Channel Signaling Overhead

In this section, we investigate a quantitative comparison of two VoIP scheduling schemes from the control channel signaling overhead point of view. However, in the proposed resource sharing scheme each paired user must know the authority of the shared resources to perform according to the proposed scenario. Therefore, one concern for the proposed scheme is the additional control channel signals. The paired user's control channel information for ACK/NACK channel needs to be once transmitted in the first time when the voice radio bearer is established. Therefore, the achievable capacity gains using the proposed scheduling are enough even if the additional control channel signaling overhead is taken into account, since the additional control channel signals are a very small quantity.

2.3.5. Power Control and Interference over Thermal in Uplink

The focus of this section is on slow power control and interference over thermal (IoT). The IoT indicates the ratio between the total received interference power and the thermal noise. It is similar to the rise-over-thermal (RoT) in HSUPA. The IoT is computed per sector per subframe and is defined as [9]
(1)

where represents the serving sector of user , is the total received power from user at sector , and is the thermal noise variance. The IoT plays an important role in determining the system throughput since the transmission rate depends on the signal-to-interference plus noise ratio (SINR) and not just on the signal-to-noise ratio (SNR). The IoT bounds the additional interference to the cell, and thereby limits the power required for new users to access the network. Typical IoT values in commercial networks range from 3 to 10 dB and we will employ the worst constraints the same as or near the average 3 dB in this paper [9].

However, similar to HSUPA, the average IoT level received at the eNB is effectively reduced by using uplink power control approach. To achieve good tradeoff between the cell-edge performance and the overall spectral efficiency, power control scheme should be considered carefully. The only inter-cell interference exists in the uplink for E-UTRA due to an orthogonal access. Therefore, the slow power control is sufficient to compensate the influence of IoT. In this paper, the slow power control may be implemented in each eNB by sending power control command slowly. It should be noted that the other approach is possible. For example, each user can derive its own transmit power based on the path loss measurement from downlink pilot.

3. VoIP Services over E-UTRA Uplink

3.1. The Properties of VoIP Services

3.1.1. Traffic Model and Protocol

In this paper, the conversation traffic can be approximated to the two state Markov model with a suitable voice activity factor (VAF) [10]. The adaptive multirate (AMR) voice codec is mandatory for voice services in E-UTRA systems. The AMR codec generates a 32-bytes voice payload every 20 milliseconds during talk-spurt period. During silent period, a 7-bytes payload carries a silence descriptor (SID) frame every 160 milliseconds [11]. Also, we can set by 50% VAF.

However, a typical VoIP protocol stack, which employs the real-time transport protocol (RTP), is encapsulated to the user datagram protocol (UDP). This, in turn, is carried by IP. These combined protocols demand a 40-bytes IPv4 header or a 60-bytes IPv6 header. Therefore, the overhead, caused from these headers, seriously degrades the spectral efficiency in supporting VoIP service. Therefore, efficient and robust header compression (ROHC) technique must be used to reduce the amount of the large headers in the IP/UDP/RTP layers. This technique can reduce the size of the IP/UDP/RTP headers as little as 2 or 4 bytes using IETF RFC 3059 [12, 13]. Therefore, in this paper we assume that the IP/UDP/RTP headers are reduced as 4 bytes using ROHC.

3.1.2. Definition of VoIP Capacity

In PS network, packets will be dropped due to packet error and packet delay exceeding the target latency. Although some packet loss occurs, the voice quality is not affected if the amount of packet loss is less than outage threshold. At this point, the VoIP capacity is defined by the maximum number of VoIP users that can be supported without exceeding a given outage threshold. The outage criterion means that packet error rate (PER) of VoIP user is kept within 2%. Moreover, at least 95% of total VoIP users should meet the above outage criteria [12].

3.1.3. End-to-End Delay Latency for QoS Support

To ensure end-to-end QoS, the low delay is one of the most important factor for maintaining high-quality VoIP services. But, to achieve high VoIP capacity, the scheduler must have sufficient time to manage voice packets. Of the assumed 200 milliseconds mouth-to-ear delay latency for qualified voice services, about 50 milliseconds are available for scheduling in the uplink [12]. The delay in others such as processing time for downlink/uplink, scheduling time for downlink, IP, and backhaul network delay is bounded to 150 milliseconds. It is the fixed value that allows us to focus on the delay within radio access network as shown in Figure 3. Although VoIP performance depends on both downlink and uplink performances, we would like to set aside the consideration of both directions as a comprehensive study for future research.
Figure 3

End-to-end delay components in E-UTRA.

3.2. System-Level Simulation Setup

3.2.1. Physical Layer in E-UTRA Uplink

For uplink transmission, the important property is to allow user equipment (UE) for power efficient transmission to maximize coverage. The choice of single-carrier frequency-domain multiple access (SC-FDMA) is therefore preferable in E-UTRA uplink. This is because the resulting peak-to-average power ratio (PAPR) is lower than orthogonal frequency division multiple access (OFDMA) in downlink. Also, the fast fourier transform (FFT) and inverse fast fourier transform (IFFT) are used in transmitter to produce the FDMA signal. So, multipath propagations are handled by frequency domain equalization at the eNB, aided by the insertion of a cyclic prefix (CP) in the transmitted signal. A subcarrier spacing of 15 kHz is adopted, which allows for simple implementation of dual mode between wideband code division multiple access (WCDMA) and E-UTRA terminal. Also, the number of individual subcarrier as 12 consists of 1 RB. The RB is the basic time-frequency transmission resource unit in E-UTRA system. To minimize delays, the subframe duration, that is TTI, is selected as short as 1 millisecond, corresponding to 14 OFDM symbols [2].

However, in case of scheduled access the eNB-driven scheduling scheme has been chosen in uplink. It means that unlike HSUPA, the uplink data transmission format of a UE such as payload size and MCS level is controlled by eNB.

3.2.2. Simulation Environments

To investigate the capacity performance of VoIP traffic, the system-level Monte-Carlo computer simulation is accomplished in this paper. In all simulations, 5 MHz system bandwidth is considered among the flexible bandwidths. The simulations are carried out with a regular hexagonal 19 cellular model, where the intersite distance (ISD) between eNB is 500 m. Mobile terminals should be uniformly distributed on the 19-cell layout for each simulation run and assigned by typical urban (TU) channel model according to channel assignment probability specified in [2]. Note that a realistic model of the wave propagation plays an important role for the significance of the simulation results. Mobile speed is 3 km/h since 3GPP E-UTRA system should be optimized for low mobile speed. Shadowing is modeled by log-normal fading of the total received power. An attenuation is determined by Hata model.

Moreover, we consider resources for control and common channel overheads such as demodulation (DM) reference signal (RS) and uplink ACK/NACK chancel for downlink transmitted data [14]. The synchronous HARQ module with 8 process numbers is employed in this paper. Also, slow power control for uplink is employed as 50 Hz. The applied MCS level is fixed as QPSK and 0.55 coding rate for VoIP services. Finally, we simulate 40 000 TTI snapshots (40 seconds) in average for investigating the performance of system. The main simulation parameters are summarized in Table 2.
Table 2

System-level simulation parameters.

Parameter

Assumption

Source traffic packet overhead

AMR 12.2 kbps,

 

VAF = 0.5, 2-state Markov,

 

ROHC 4 bytes [IETF RFC 3059]

Cellular layout

Hexagonal grid, 19 sites, 3 sectors

 

(eNB-to-eNB 0.5 km)

 

Carrier frequency 2 GHz

System bandwidth

5 MHz

Propagation loss

Path loss = −128.1–37.6*log(R)

Shadowing model

Log normal Std. dev. 8 dB,

 

[Hata model]

User speed

3 km/h

Antenna gain

Node B 14 dB/UE 0 dB

Penetration loss

−20 dB

User Tx. Max. power

24 dBm

Fading model

Typical urban (TU)

Thermal noise density

−174 dBm/Hz

Number Rx ant.

2

Retransmission

No RLC retransmission (No ARQ),

 

sync. HARQ (max. retrial = 4),

 

HARQ process number = 8,

 

chase-combining

Power control

50 Hz (sounding RS-based closed-loop method)

Scheduling

Persistent scheduling with a resource sharing using user pairing,

 

(repeated pattern period = 20 milliseconds)

MCS level

QPSK, 0.55 coding rate,

 

talk-spurt period (2 RBs assign);

 

silent period (1 RB assign)

Link curve mapping

Effective SIR method (ESM)

Link curve TTI

1 millisecond

Considered overheads

29%(pilot and control overheads)

 

2 long blocks for DM RS

 

4 RBs for control signals

4. VoIP Capacity Evaluation

In this section, we evaluate the available capacity of VoIP traffic with the proposed scheduling scheme in the typical urban fading channel environments. The proposed scheme is also compared with the original persistent method.

The percentage of VoIP users satisfying outage limitation (e.g., 2% PER) is presented in Figure 4. It is shown as a function of the available delay latency in scheduler. From the figure, we observe that the percentage of users satisfying outage criterion increases according to the increase of the available delay latency in scheduler. This is because the probability of packet loss because of a timeout of target delay latency becomes more decreased with higher delay latency in scheduler. In addition, a proposed scheme results in the smaller required delay latency in scheduler to achieve the same outage performance than the corresponding original persistent scheduling scheme. For example, If we aim for an identical percentage value of 0.8 and the same number of users as 190, the required delay latency using a proposed scheme is 43 milliseconds when employing a random user pairing and 39 milliseconds when employing a best user pairing, respectively. On the other hand, when using an original persistent scheme the required latency may be 52 milliseconds. This implies that the VoIP capacity can be increased if the proposed scheduling scheme is employed. Specifically, more capacity benefits can be obtained by employing a best user pairing approach.
Figure 4

Outage probability versus delay latency in scheduler.

Figure 5 characterizes the achievable VoIP capacity, when the delay latency in scheduler is 50 milliseconds statically. According to the figure, we note that the available VoIP capacity with a proposed scheme employing a best user pairing is 200 against that the 168 VoIP users can be serviced by using original persistent scheduling.
Figure 5

Outage probability versus number of VoIP users.

However, Figure 6 shows the IoT distributions for the different number of VoIP users. The IoT is computed per sector per subframe. Unlike downlink environments, in uplink case IoT level will be an important factor determining the VoIP capacity. We will employ the worst constraints the same as or below the average 3 dB in the paper.
Figure 6

VoIP user IoT cumulative distributions.

Finally, Table 3 summarizes the capacity of VoIP using proposed scheduling scheme in E-UTRA uplink. The results confirm that the VoIP capacity with a proposed scheme can be improved of 10% when using the random user pairing and 20% when using the best user pairing approach against the original persistent scheduling. Moreover, the available VoIP capacity employing a best user pairing scheme over E-UTRA uplink provides significantly highly capacity (e.g., 160%) if compared to the VoIP capacity over HSUPA (Release'6).
Table 3

Summary of VoIP capacity using proposed scheduling scheme.

 

Capacity for

IoT [dB]

 

VoIP services

 

Original persistent scheme

168

3

Proposed (random pairing)

188

3.2

Proposed (best pairing)

200

3.3

HSUPA (Release'6)

70

3

5. Conclusion

In this paper, we propose the efficient scheduling method employing a resource sharing approach. This proposed scheme employs the random user pairing and the best user pairing method to improve the capacity of VoIP services over E-UTRA uplink. Results are investigated by the system-level simulation. Our simulation results show that the employment of proposed scheduling scheme makes a larger available capacity than that resulted by the original persistent scheduling. In addition, we also conclude that E-UTRA is attractive for supporting of VoIP services if compared to HSUPA (Release'6).

The consideration of the combination of other traffic types such as best-effort, web, and streaming may be an interesting issue for future study. Moreover, the influence of ACK/NACK decoding errors may be considered.

Authors’ Affiliations

(1)
Telecommunication R&D Center, Telecommunication Network Business, Samsung Electronics

References

  1. 3GPP TR 25.913 : Requirements for Evolved UTRA (E-UTRA) and Evolved UTRAN (E-UTRAN).Google Scholar
  2. 3GPP TR 25.814 : Physical layer aspect for evolved Universal Terrestrial Radio Access (UTRA).Google Scholar
  3. Jalali A, Padovani R, Pankaj R: Data throughput of CDMA-HDR a high efficiency-high data rate personal communication wireless system. Proceedings of the 51st IEEE Vehicular Technology Conference (VTC '00), May 2000, Tokyo, Japan 3: 1854-1858.Google Scholar
  4. Kim Y-S: Capacity of VoIP over HSDPA with frame bundling. IEICE Transactions on Communications 2006, E89-B(12):3450-3453. 10.1093/ietcom/e89-b.12.3450View ArticleGoogle Scholar
  5. 3GPP R2-061920 Persistent SchedulingGoogle Scholar
  6. 3GPP R2-062788 : Persistent scheduling and dynamic allocation.Google Scholar
  7. Chen T, Kuusela M, Malkamaki E: Uplink capacity of VoIP on HSUPA. Proceedings of the 63rd IEEE Vehicular Technology Conference (VTC '06), May 2006, Melbourne, Australia 451-455.Google Scholar
  8. Kim YH, Kim Y-S: A scheduler for multi-traffic services in WCDMA networks. Proceedings of the International Symposium on Communications and Information Technologies (ISCIT '06), October-September 2006, Bangkok, Thailand 1004-1007.Google Scholar
  9. Hande P, Rangan S, Chiang M: Distributed uplink power control for optimal SIR assignment in cellular data networks. Proceedings of the 25th IEEE International Conference on Computer Communications (INFOCOM '06), April 2006, Barcelona, Spain 1-13.Google Scholar
  10. 3GPP TR25.896 : Feasibility study for enhanced uplink for UTRA FDD.Google Scholar
  11. 3GPP TS 26.236 : Packet switched conversational multimedia application—transport protocols.Google Scholar
  12. 3GPP R1-070674 : LTE physical layer frame work for performance verification.Google Scholar
  13. IETF RFC 3059 : Attribute list extension for the service location protocol. February 2001Google Scholar
  14. The 3GPP TS 36.211 : Physical channels and modulation. (Release 8), v100Google Scholar

Copyright

© Yong-Seok Kim. 2008

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.