Multiresolution with Hierarchical Modulations for Long Term Evolution of UMTS
© Américo Correia et al. 2009
Received: 30 July 2008
Accepted: 26 February 2009
Published: 8 April 2009
In the Long Term Evolution (LTE) of UMTS the Interactive Mobile TV scenario is expected to be a popular service. By using multiresolution with hierarchical modulations this service is expected to be broadcasted to larger groups achieving significant reduction in power transmission or increasing the average throughput. Interactivity in the uplink direction will not be affected by multiresolution in the downlink channels, since it will be supported by dedicated uplink channels. The presence of interactivity will allow for a certain amount of link quality feedback for groups or individuals. As a result, an optimization of the achieved throughput will be possible. In this paper system level simulations of multi-cellular networks considering broadcast/multicast transmissions using the OFDM/OFDMA based LTE technology are presented to evaluate the capacity, in terms of number of TV channels with given bit rates or total spectral efficiency and coverage. multiresolution with hierarchical modulations is presented to evaluate the achievable throughput gain compared to single resolution systems of Multimedia Broadcast/Multicast Service (MBMS) standardised in Release 6.
Third-generation (3G) wireless systems, based on wideband code-division multiple access (WCDMA) radio access technology, are now being deployed on a broad scale all over the world. However, user and operator requirements and expectations are continuously evolving, and competing radio access technologies are emerging. Thus it was important for 3GPP to start considering the next steps in 3G evolution, in order to ensure 3G competitiveness in a 10-year perspective and beyond. As a consequence, 3GPP has launched the study item evolved UTRA and UTRAN, the aim of which was to study means to achieve further substantial leaps in terms of service provisioning and cost reduction. The overall target of this long-term evolution (LTE) of 3G was to arrive at an evolved radio access technology that can provide service performance on a parity with current fixed line access. As it is generally assumed that there will be a convergence towards the use of Internet Protocol (IP)-based protocols (i.e., all services in the future will be carried on top of IP), the focus of this evolution was on enhancements for packet-based services. 3GPP aimed to conclude the evolved 3G radio access technology in 2008, with subsequent initial deployment in the 2009-2010 time frame. At this point it is important to emphasize that this evolved RAN is an evolution of the current 3G networks, building on already made investments. 3GPP community has been working on LTE and various contributions were made to implement MBMS in LTE .
Orthogonal frequency division multiplexing/orthogonal frequency division multiple access OFDM/OFDMA [2–4], used in the physical layer (downlink connection) of LTE, is an attractive choice to meet requirements for high data rates, with correspondingly large transmission bandwidths and flexible spectrum allocation. OFDM also allows for a smooth migration from earlier radio access technologies and is known for high performance in frequency-selective channels. It further enables frequency-domain adaptation, provides benefits in broadcast scenarios, and is well suited for multiple-input multiple-output (MIMO) processing.
The possibility to operate in vastly different spectrum allocations is essential. Different bandwidths are realized by varying the number of subcarriers used for transmission, while the subcarrier spacing remains unchanged. In this way operation in spectrum allocations of 1.4, 3, 5, 10, 15, and 20 MHz can be supported.
For MBMS support within a certain cell coverage area for a given coverage target, the (Modulation and Coding Scheme) MCS of the MBMS transport channel typically has to be designed under worst-case assumptions. Apart from cell-edge users experiencing large intercell-interference, users with better channel conditions (closer to the base station) could receive the same service with a better quality (e.g., video resolution), as their receiving SNR would allow usage of a higher-rate MCS. Hierarchical modulation [5–8], which has been specified for broadcast systems like (Digital Video Broadcast Terrestrial) DVB-T or MediaFLO, is one way of accounting for unequal receiving conditions. Here, a signal constellation like 16QAM, with each symbol being represented by four bits, is interpreted in a sense that the two first bits belong to an underlying QPSK alphabet. This enables the use of two independent data streams with different sensitivity requirements. In the example above, the so-called high priority stream employs QPSK modulation and is designed to cover the whole service area. The low-priority stream requires the constellation to be demodulated as 16QAM, and provides an additional or refined service via the two additional bits. These may transport an additional MBMS channel with a different type of service, or an enhancement stream that, for example, leads to enhancing the resolution of the base stream. A design parameter that determines the constellation layout allows the control of the amount of distortion that the enhancements symbols add to the baseline constellation, and can be used to control the ratio of coverage areas or service data rates. Theoretical evaluation of this type of modulations where it is explicitly shown the dependence of the individual bit streams performance on the constellation design parameter has been previously presented in [9, 10].
Introducing multiresolution in a broadcast system mainly affects two parts, source coding and distribution/signalling. Until recently the source coding has been aimed toward achieving the highest compression ratio possible . With the development of cellular phones to competent multimedia terminals and integration of the cellular networks with the Internet, the result is a more heterogeneous network with regard to terminal capabilities and connection speed.
In this work it is assumed that scalable source coders are used and scalability is done in layers. It consists of one basic layer to encode the basic quality and consecutive refinement or enhancement layers for higher quality. The source coder can generate a total of L layers. For simplicity it is also assumed that all layers require the same data rate and target bit error rate. Specifically for broadcast and multicast transmissions in a mobile cellular network, depending on the communication link conditions, some receivers will have better signal-to-noise ratios (SNR) than others and thus the capacity of the communication link for these users is higher.
Hierarchical constellations and MIMO (spatial multiplexing [12, 13]) are methods to offer multiresolution. The authors of this paper have previously analyzed and evaluated these two forms of multiresolution considering the WCDMA technology in [14–16]. In OFDMA-based networks, the transmission of different fractions of the total set of subcarriers (chunks) depending on the position of the mobiles is another way to offer multiresolution. Any of these methods is able to provide unequal bit error protection. In any case there are two or more classes of bits with different error protection, to which different streams of information can be mapped. Regardless of the channel conditions, a given user always attempts to demodulate both the more protected bits and the other bits that carry the additional resolution. Depending on its position inside the cell more or less blocks with additional resolution will be correctly received by the mobile user. However, the basic quality will be always correctly received independently of the position of any user, within the 95% coverage target.
For increasing distance between terminals and base station decreasing bit rates are correctly received due to the decrease of SNR. Adaptive Modulation and Coding (AMC) is a technique that maximizes the total throughput for unicast transmissions. The decrease of SNR with the distance is common to unicast or broadcast/multicast transmissions. However for broadcast/multicast the same video content is transmitted and AMC is not possible without personal uplink feedback. With the introduction of multiresolution techniques the maximization of the total throughput is the goal to achieve. System-level simulations for broadcast/multicast with multiresolution are necessary to evaluate the achievable throughput gain compare to single resolution systems.
In this paper Section 2 refers to the objectives and requirements, in Section 3 the evaluation methodology and simulation assumptions are presented. In Section 4 the system level results are presented, and finally in Section 5 the summary and conclusions are presented.
2. Objectives and Requirements
According to Release 6 of 3GPP the single resolution scheme corresponds to transmission of QPSK with more than 95% coverage. The assignment of the fraction of the total transmission power reserved for MBMS has implications in the coverage and average throughput of the multiresolution based on the hierarchical 16-QAM scheme. The multicell interference distribution has also strong impact in the coverage and throughput. An interesting design parameter is the channel bit rate (and its coding rate) associated to the multiresolution scheme. An optimization of this parameter has also strong impact in the achievable coverage and average throughputs.
Regardless of the channel conditions and user location, a given user always attempts to demodulate both the base layer and the enhancement layer carrying additional resolution. For good multiresolution design, the basic information will be always correctly received independently of the position of any user, within the 95% coverage target. However, depending on its position inside the cell more or less blocks with additional resolution will be correctly received by the mobile user.
The objective of this work is the design of multiresolution schemes in different scenarios, namely, multicell with intercell interference without and with macrodiversity support, and to measure the corresponding multiresolution gain of total throughput compared to the reference total throughput of the single resolution scheme based on the QPSK transmission.
3. Evaluation Methodology and Simulation Assumptions
Typically, radio network simulations can be classified as either link level (radio link between the base station and the user terminal) or system level (several base stations with large number of mobile users). A single approach would be preferable, but the complexity of such simulator (including everything from transmitted waveforms to multicell network) is far too high for the required simulation resolutions and simulation time. Therefore, separate but interconnected link and system level approaches are needed.
The link level simulator is needed for the system simulator to build a receiver model that can predict the receiver (Block Error Rate/Bit Error Rate) BLER/BER performance, taking into account channel estimation, interleaving, modulation, receiver structure, and decoding. The system level simulator is needed to model a system with a large number of mobiles and base stations, and algorithms operating in such a system.
3.1. Link-Level Simulator Design
The link-level simulator (LLS) was developed in Matlab and took into account the specifications of 3GPP MBMS Release 7  regarding to the signal processing of transport and physical channels and satisfying two essential requirements:
(i)serve as reference for all the link level simulations with multiresolution and parameters estimation,
(ii)serve as a platform to the different multiresolution improvements tested and quantified.
Link and system level simulation parameters for urban macrocellular scenario.
Cyclic prefix size
Carriers space (kHz)
Sample time (ns)
Max Tx Power (dBm)/sector
Number of used subcarriers/sector
Number of used subcarriers/cell
Subframe duration (ms)
Interfering cells transmit with % of Max Power
Cell Radius (m)
InterSite Distance (m)
Number of cell sites
Antenna gain of the base station
Front/Back ratio of the antenna
Antenna pattern radiation of the base station
Downlink thermal noise
Fade out standard deviation due to shadowing
The receiver structure for additive white Gaussian noise (AWGN) channel is less complex (only a few turbo-decoder iterations and no channel estimation nor channel equalization required).
Multipath Rayleigh fading channels were considered in the simulator due to the sensitivity of hierarchical high-order QAM modulations to the channel parameters estimation. As indicated the receiver structure is nonlinear, iterative, and includes channel parameters estimation for the analyzed multipath Rayleigh fading channel . This explains why we used a different approach for the link level simulations compared to the typical 3GPP methodology which maps against coded AWGN curves for various transport formats.
3.2. Radio Access Network System Level Simulator
For the purpose of validating the work presented in this section, it was developed a system level simulator in Java, using a discrete event-based philosophy, which captures the dynamic behavior of the Radio Access Network System. This dynamic behavior includes the user (e.g., mobility and variable traffic demands), radio interface and (Radio Access Network) RAN with some level of abstraction. The system level simulator (SLS) works at Transmission Time Interval (TTI) rate and typical time interval of each simulation is 600 seconds. Table 1 shows the simulation parameters. It presents the parameters used in the link and system level simulations based on 3GPP documents [20–23].
The channel model used in the system level simulator considers three types of losses: distance loss, shadowing loss and multipath fading loss (one value per TTI). The model parameters depend on the environment. For the distance loss the Okumura-Hata Model from the COST 231 project was used (see ). Shadowing is due to the existence of large obstacles like buildings and the movement of UEs in and out of the shadows. This is modelled through a process with a lognormal distribution and a correlation distance. The multipath fading in the system level simulator corresponds to the 3GPP channel model, where the ITU Vehicular A (30 km/h) (see  Annex B) environment was chosen as reference. The latter model was also used in the link level simulator but at much higher rate. Vehicular A (with velocity km/h) channel model was chosen because it is an important test channel in 3GPP specifications also, it allows for direct comparison with previous system level simulations done by the authors . In OFDM systems the important parameter is the maximum delay of the multipath profile and its relation with the duration of the time guard between OFDM symbols to avoid intersymbol interference. 3GPP has specified a short time guard with about 4.75 s and a long one with 16.67 s. The long-time guard was considered in this paper, making the performance less sensitive to the chosen propagation channel. However, there is a reduction of the transmitted bit rates.
In the radio access network subsystem system level simulator only the resulting fading loss of the channel model, expressed in dB, is taken into account. The fading model is provided by the link level simulator through a trace of average fading values (in dB), one per Transmission Time Interval (TTI) or Subframe duration. For each environment the mobile speed is the same and several traces of fading values are provided for each pair of antenna. A uniform distribution of mobile users is generated at the beginning of each simulation. Typical number of users chosen for each simulation run was 20 per sector. Each mobile has random mobility with the specified 30 km/h.
Dynamic system level simulators like the one presented in this paper are very accurate, the main limitation is the hypothetical urban macrocellular test scenario that is different from any real one.
For 16-QAM hierarchical constellations two classes of bits with different error protection are used. The blue colour around the antennas only indicates the approximate coverage of the weak bits blocks, while the other colours indicate the coverage of the strong bits blocks.
This is the case for the scenario to be analyzed with one radio link between the mobile and the closest base station. It is not assumed any time synchronism between the transmissions from different base stations with the same colour resulting in interference from all but one cell with the same colour. However, in the scenario with macrodiversity combining the two best radio links, it is assumed that there is time synchronization between the two closest base station sites with the same colour. In this case the multicell interference is reduced because only the other base station sites with the same colour remain unsynchronous and capable to interfere.
4. System-Level Performance Results
To study the behavior of the proposed OFDM multiresolution schemes, several simulations were performed for 16-QAM hierarchical modulations.
The main parameter for defining one of these constellations is the ratio between and as shown in Figure 6:
Two classes of bits with different error protection were used. Each information stream was encoded with a block size of 2560 bits per Subframe duration of 0.5 ms. One third of the total physical resource blocks (PRB) are transmitted in each sector. This corresponds to an instantly occupied bandwidth of 3 MHz, where we have considered 20 PRBs each with 150 kHz of adjacent bandwidth (corresponding to 10 subcarriers with frequency spacing of 15 kHz). The number of adjacent subcarriers in each PRB was a study item in 3GPP by the time we started our simulation work. We have considered PRBs with 10 adjacent subcarriers instead of 12 as currently specified by 3GPP. However this change in the size of the PRBs does not change our simulation results for the propagation channels and velocity chosen. We have also chosen PRBs of this size to have an integer number of TV channels (i.e., PRBs) each with bit rate of 256 kbps for the chosen fractional frequency reuse of 1/3. Otherwise it would not be possible to compare directly the OFDM/OFDMA results with those obtained previously with the WCDMA technology. All the parameters used for OFDM during these simulations were based on 3GPP documents [20–23].
In the legend H1 denotes the strong bits block and H2 the weak bits. H1, corresponds to the most left curve requiring the minimum and H2, is the most right curve requiring the maximum . H1, and H2, correspond to the two inner curves that almost overlap (same ) in the two figures. corresponds to QPSK and its BLER performance is presented only in Figure 7. As expected, QPSK has a better coverage than any of the H1 blocks but obviously its bit rate is half of the set H1+H2 for each .
Comparison between these two figures indicates that considering any BLER and in particular the reference BLER of 1%, higher channel bit rates require higher SNR) to offer any given BLER, resulting in less coverage. However, higher channel bit rates can provide higher maximum throughputs. For the coverage of the strong blocks is the maximum, however the coverage of the corresponding weak blocks is the minimum. As a result the resulting total throughput of both types of blocks is the smallest. Notice that corresponds to the 16QAM uniform constellation, where the strong bits are the standard bits of QPSK modulation, however their coverage is less than the QPSK. The coverage of the corresponding weak blocks ( ) is the maximum resulting in the highest total throughput of both types of blocks.
We have chosen the curves for the system level simulations because in this case there is the minimum difference between the BLER performance of H1 and H2, which is expected to assure the best combination of coverage and throughput.
In the system level simulations mobile users receive strong and weak bits blocks transmitted from base stations. Each block undergoes small- and-large scale fading and multicell interference. In terms of coverage or throughput the SNR of each block is computed taking into account all the above impairments and based on the comparison between the reference SNR at a BLER of 1%, and the evaluated SNR it is decided whether the block is or not correctly received. This is done for all the transmitted blocks for all users in all sectors of the 19 cells, during typically 10 minutes.
Only for = 50% the coverage of strong blocks is above or equal to 95% for 384 kbps, but for 256 kbps the coverage value for strong blocks is above 95% for = 5%. This indicates that as long as there is macrodiversity combining of the two best links it is possible to increase the channel bit rate or increase the number of transmitted channels keeping the same bit rate.
Based on these results for the 16QAM multiresolution scheme in the multicellular network with macrodiversity combining (compared to one radio link) it is possible to increase the channel bit rate keeping the same number of channels or increasing the number of channels keeping the same bit rate per channel. In terms of broadcasting mobile TV channels it might be important to increase the InterSite distanced to 1500 m to reduce the number of sites.
To get the 16QAM multiresolution gain compared to the single resolution with QPSK we should compute the aggregate throughput in all the cell area with multiresolution and divide by the single resolution aggregate throughput in the cell area. As the coverage of QPSK blocks is the same of strong bits blocks of hierarchical 16QAM due to macrodiversity combining the comparison of the aggregate throughput is based on the different coverage of the weak bits blocks.
From Figures 12 and 16 it is clear that the smallest throughput gain is achieved for coding rate = 1/2 (256 kbps). For this case, the throughput gain is two, remember that the single resolution throughput of QPSK is 128 kbps. The highest throughput gain is achieved for coding rate = 3/4 (384 kbps). For this case, the throughput gain is almost three (for the throughput of 384 kbps is achieved up to 600 m far from the base station (BS) as shown in Figure 13). However for the throughput gain never reaches two (see Figure 17). So it is important to choose k values between [0.4,0.5] to achieve the highest multiresolution gain.
5. Summary and Conclusions
We have studied and evaluated the use of QAM hierarchical constellations in an OFDM system as a multiresolution scheme for the enhanced MBMS network. Scenarios based on multicell networks without and with macrodiversity combining were evaluated using multiresolution based on 16QAM hierarchical modulation.
We can conclude that multiresolution works fine with any of the analyzed scenarios, multicell networks without or with macrodiversity combining. Indeed it works better with multicell with macrodiversity than with multicell without macrodiversity. In multicell networks without macrodiversity due to the higher sensitivity to the channel bit rate of higher-order constellations we can increase the channel bit rate of each TV channel for users close to the base station. In multicell scenario with macrodiversity, the multiresolution schemes become less sensitive to the used channel bit rates.
In multicell without macrodiversity to achieve higher multiresolution gain it is suggested to use the channel bit rate of 256 kbps, that is, the channel coding rate of 1/2. As long as there is previous recording of link quality information in the cell, it is recommended that a few different groups should be formed with different channel bit rates in order to increase the levels of multiresolution. One way to achieve this is the combination of hierarchical QAM modulations with MIMO .
It was concluded that to achieve the highest multiresolution gain is important to choose k values between (0.4,0.5) and avoid smaller k values.
Capacity values for 16QAM hierarchical multiresolution OFDMA.
No. of channels
No. of channels
Capacity values for QPSK single resolution, CDMA scheme for 5 MHz bandwidth.
No. of channels
The comparison between Tables 2 and 3 is not straightforward due to the difference of bandwidth and ISO. However it is possible to draw a capacity gain of at least two between hierarchical 16QAM and QPSK (notice that higher ISD is an advantage for broadcasting).
In the future we will study and evaluate the use of 64QAM hierarchical constellations and MIMO (spatial multiplexing) in an OFDM/OFDMA system as other multiresolution schemes for the enhanced MBMS network. The scenario based on the use of single-frequency network (SFN) with the Multimedia Broadcast over SFN (MBSFN) channel will be also evaluated for 16QAM hierarchical modulation and compared with the present work.
- Feasibility study on improvement of the multimedia broadcast multicast service (MBMS) 3GPP, Sophia Antipolis Cedex, France; June 2007.http://www.3gpp.org
- Sari H, Levy Y, Karam G: An analysis of orthogonal frequency-division multiple access. Proceedings of IEEE Global Telecommunications Conference (GLOBECOM '97), November 1997, Phoenix, Ariz, USA 3: 1635-1639.View ArticleGoogle Scholar
- Koffman I, Roman V: Broadband wireless access solutions based on OFDM access in IEEE 802.16. IEEE Communications Magazine 2002, 40(4):96-103. 10.1109/35.995857View ArticleGoogle Scholar
- Bingham JAC: Multicarrier modulation for data transmission: an idea whose time has come. IEEE Communications Magazine 1990, 28(5):5-14. 10.1109/35.54342MathSciNetView ArticleGoogle Scholar
- Cover T: Broadcast channels. IEEE Transactions on Information Theory 1972, 18(1):2-14. 10.1109/TIT.1972.1054727MathSciNetView ArticleMATHGoogle Scholar
- Ramchandran K, Ortega A, Uz KM, Vetterli M: Multi-resolution broadcast for digital HDTV using joint source/channel coding. IEEE Journal on Selected Areas in Communications 1993, 11(1):6-23. 10.1109/49.210540View ArticleGoogle Scholar
- Jiang H, Wilford PA: A hierarchical modulation for upgrading digital broadcast systems. IEEE Transactions on Broadcasting 2005, 51(2):223-229. 10.1109/TBC.2005.847619View ArticleGoogle Scholar
- Wang S, Kwon S, Yi BK: On enhancing hierarchical modulation. Proceedings of IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB '08), March-April 2008, Las Vegas, Nev, USA 1-6.Google Scholar
- Vitthaladevuni PK, Alouini M-S: A closed-form expression for the exact BER of generalized PAM and QAM constellations. IEEE Transactions on Communications 2004, 52(5):698-700. 10.1109/TCOMM.2004.826252View ArticleGoogle Scholar
- Souto N, Cercas FAB, Dinis R, Silva J: On the BER performance of hierarchical M-QAM constellations with diversity and imperfect channel estimation. IEEE Transactions on Communications 2007, 55(10):1852-1856.View ArticleGoogle Scholar
- Vetterli M, Uz KM: Multiresolution coding techniques for digital television: a review. Multidimensional Systems and Signal Processing 1992, 3(2-3):161-187. 10.1007/BF01942041View ArticleGoogle Scholar
- Foschini GJ: Layered space-time architecture for wireless communication in a fading environment when using multi-element antennas. Bell Labs Technical Journal 1996, 1(2):41-59.View ArticleGoogle Scholar
- Foschini GJ, Gans MJ: On limits of wireless communications in fading environments when using multiple antennas. Wireless Personal Communications 1998, 6(3):311-335. 10.1023/A:1008889222784View ArticleGoogle Scholar
- Soares A, Souto N, Silva J, Eusébio P, Correia A: Effective radio resource management for MBMS in UMTS networks. Wireless Personal Communications 2007, 42(2):185-211. 10.1007/s11277-006-9173-zView ArticleGoogle Scholar
- Soares A, Silva J, Souto N, Leitão F, Correia A: MIMO based radio resource management for UMTS multicast broadcast multimedia services. Wireless Personal Communications 2007, 42(2):225-246. 10.1007/s11277-006-9175-xView ArticleGoogle Scholar
- Correia A, Souto N, Silva J, Soares A: Air interface enhancements for MBMS. In Handbook of Mobile Broadcasting. Edited by: Furht B, Ahson S. CRC Press, Francis & Taylor, New York, NY, USA; 2008.Google Scholar
- Technical specification group radio access network; physical layers aspects for evolved (UTRA) 3GPP, Sophia Antipolis Cedex, France; September 2006.http://www.3gpp.org
- Souto N, Correia A, Dinis R, Silva J, Abreu L: Multiresolution MBMS transmissions for MIMO UTRA LTE systems. Proceedings of IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB '08), March-April 2008, Las Vegas, Nev, USA 1-6.Google Scholar
- User equipment radio transmission and reception (FDD) 3GPP, Sophia Antipolis Cedex, France; October 1999.http://www.3gpp.org
- Feasibility study for evolved universal terrestrial radio access (UTRA) and universal terrestrial radio access network (UTRAN) 3GPP, Sophia Antipolis Cedex, France; September 2006.http://www.3gpp.org
- Feasibility study for orthogonal frequency division multiplexing (OFDM) for UTRAN enhancement 3GPP, Sophia Antipolis Cedex, France; June 2004.http://www.3gpp.org
- Evolved universal terrestrial radio access (E-UTRA); radio frequency (RF) system scenarios 3GPP, Sophia Antipolis Cedex, France; December 2008.http://www.3gpp.org
- LTE physical layer framework for performance verification 3GPP, Sophia Antipolis Cedex, France; February 2007.http://www.3gpp.org
- Damosso E (Ed): Digital Mobile Radio Towards Future Generation Systems In COST 231. European Commission, Luxemburg, Germany; 1999.Google Scholar
- Correia A, Silva J, Souto N, Silva LAC, Boal AB, Soares A: Multi-resolution broadcast/multicast systems for MBMS. IEEE Transactions on Broadcasting 2007, 53(1):224-233.View ArticleGoogle Scholar
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