- Research Article
- Open Access
Impact of Carrier Frequency Offsets on Block-IFDMA Systems
© E. P. Simon et al. 2009
Received: 25 June 2008
Accepted: 15 December 2008
Published: 22 December 2008
Recently, a new multiple access (MA) scheme called block-interleaved frequency division multiple access (B-IFDMA) is under consideration as an MA scheme candidate for 4G wireless applications. In this paper, the two variants of B-IFDMA are considered, the joint- DFT B-IFDMA and the added-signal B-IFDMA, and compared in terms of sensitivity to carrier frequency offsets (CFOs) for both uplink and downlink. CFO gives rise to multiuser interference and self-user interference. We derive analytical expressions for the power of these interferences, and we quantify their detrimental effect through the evaluation of the signal-to-interference-plus-noise ratio (SINR) degradation. We point out that both variants of B-IFDMA are not similarly affected by CFO. Hence, joint-DFT B-IFDMA provides a better robustness to multiuser interference than added-signal B-IFDMA, and so is better suited for the uplink. Then we show by means of numerical results that added-signal B-IFDMA is less sensitive to CFO in the downlink.
In the context of the research on beyond 3rd and 4th generation (B3G/4G) mobile radio systems, a novel power-efficient multiple access scheme called block-interleaved frequency multiple access (B-IFDMA) has been proposed as a candidate for nonfrequency-adaptive transmission mode. B-IFDMA is a particular case of discrete Fourier transform (DFT) precoded OFDMA, where the data of the user under consideration is transmitted on blocks of subcarriers that are equidistantly distributed over the total available bandwidth. Hence, it can be viewed as a generalization of DFT precoded OFDMA with interleaved subcarrier allocation, also called IFDMA . Two different variants of B-IFDMA are currently under investigation, the joint-DFT B-IFDMA and the added-signal B-IFDMA [2, 3]. The joint-DFT B-IFDMA signal is based on applying DFT once to all subcarriers assigned to a given user whereas the added-signal B-IFDMA is constructed by applying DFT to groups of subcarriers.
The robustness of B-IFDMA compared to IFDMA to carrier frequency offsets (CFOs) has been discussed in  for the uplink. The authors showed that B-IFDMA is expected to be more robust to CFO than IFDMA due to the fact that schemes with interleaved subcarrier allocation are known to be more sensitive to CFO compared to schemes with block allocation. However, it is not clear which variant of B-IFDMA is more robust to CFO. Moreover, to the best of our knowledge, no detailed analysis exists on the sensitivity of B-IFDMA to CFO. The purpose of this paper is to present a comprehensive study of the sensitivity of the joint-DFT and added-signal B-IFDMA to CFO and to compare those two variants in terms of CFO sensitivity.
The effect of CFO on multicarrier schemes has been studied in  for OFDM, in  for MC-DS-CDMA, and in  for MC-CDMA. It was shown that CFO gives rise to signal distortions, yielding interference and power loss which degrades system performance. When this degradation can no longer be tolerated, carrier frequency correction must be applied. For downlink, the CFO is the same for all users. Hence, the carrier frequency can be corrected by using feedback carrier synchronization mechanisms, at the expense of phase jitter [7, 8]. Note that for uplink, since the CFOs associated with different users are different to each other, it is much more difficult to carry out an offset correction [9, 10]. In this paper, we consider both uplink and downlink.
To quantify the performance degradation, we propose to compute the expressions of the signal-to-interference-plus-noise ratio (SINR) degradation for both variants of B-IFDMA. We also provide a detailed analysis of the obtained analytical expressions in order to compare the sensitivity of both variants to CFO. In addition, numerical results illustrate the analysis.
The paper is organized as follows. In Section 2, a system model including the CFO for both variants of B-IFDMA is given. The sensitivity to CFO is investigated in Section 3. Numerical results are presented in Section 4. Section 5 concludes the paper.
2. System Model
In this section, a system model including the CFO is given. As added-signal B-IFDMA model can be generated from IFDMA signals , here we focus on the joint-DFT B-IFDMA model. The signal model for IFDMA is described in detail in . The model for joint-DFT B-IFDMA is derived as a particular case of general precoded OFDMA system. Although new algorithms for a lower complexity implementation of B-IFDMA based on time-domain signal generation have been proposed in , it is more convenient to perform algebra with the general OFDMA transmitter model.
where is a Fourier sequence. Let designate the total number of subcarriers available in the OFDMA system, where is the maximum number of users. Note that will designate the number of active users. Then, the precoded symbols of user are transmitted on blocks of subcarriers that are equidistantly distributed over the subcarriers. Thus, where stands for the number of blocks and the number of subcarriers per block. The th symbol modulates the subcarrier of index , where . This mapping is specific to the joint-DFT B-IFDMA scheme.
The samples of the transmitted sequence are generated by feeding the mapped symbols to an inverse fast Fourier transform. Then, a cyclic prefix of samples is inserted in order to avoid interference caused by dispersive channel. The transmitter feeds those samples at a rate to a unit energy zero roll-off square root Nyquist filter with respect to the sampling time .
The signal is then transmitted over the dispersive channel from the transmitter of user to the base station with the channel transfer function . The output of the dispersive channel is disturbed by a carrier phase error which linearly increases in time within an OFDM symbol period: , where stands for the CFO for user . Without loss of generality, we assume . We also assume small CFO compared to the bandwidth of the receiver filter .
The base station receives the sum of the signals transmitted by the different users, disturbed by additive white Gaussian noise , with uncorrelated real and imaginary parts, each having a power spectral density . The resulting signal enters the receiver filter, which is matched to the transmitted filter and is sampled at instants assuming perfect timing synchronization.
3. Impact of Carrier Frequency Offset on B-IFDMA
In this section, we investigate the effect of CFO to the performance of the two B-IFDMA variants, the joint-DFT B-IFDMA and the added-signal B-IFDMA. First, we consider the joint-DFT B-IFDMA signal.
3.1. Joint-DFT B-IFDMA
In addition to the interference terms, it follows from (16) that the useful component at the FFT output is reduced compared to the case of a zero CFO. Hence, to keep the power loss within reasonable bounds, the CFO must satisfy which is easy to understand since the IFFT behaves like a bank of filters of bandwidth .
The resulting expression of the degradation for joint-DFT B-IFDMA is obtained by inserting (16), (17), and (18) in (12).
3.2. Added-Signal B-IFDMA
The added-signal B-IFDMA model for a given user comes from the superimposing of IFDMA signals, each with subcarriers . These IFDMA signals are mutually shifted by one subcarrier bandwidth.
The resulting expression of the degradation for added-signal B-IFDMA is obtained by inserting (16), (21), and (22) in (12).
3.3. Comparison of Sensitivity to CFO for Both Variants of B-IFDMA
In summary, it turns out that for the joint-DFT B-IFDMA, most of the interference comes from the SUI whereas the added-signal B-IFDMA mostly suffers from the MUI. Numerical results are presented in Section 4 to illustrate this analysis.
4. Numerical Results
In this section, we present numerical results of SINR degradations due to CFO for the joint-DFT B-IFDMA and added-signal B-IFDMA. We assume the same CFO for all users, that is, for . We also assume that all users exhibit the same energy per symbol with subcarriers assigned to each user. The maximum number of users is and dB.
We also observe that the joint-DFT B-IFDMA is less robust to CFO than added-signal B-IFDMA. For instance, for the same CFO of , the degradation with the joint-DFT B-IFDMA is 1 dB higher than that with the added-signal B-IFDMA.
For the sake of comparison, we plot the degradation obtained for IFDMA systems. The considered IFDMA system has the same number of subcarriers assigned to each user ( ), which are equidistantly distributed over the total bandwidth . As IFDMA can be regarded as a special case of joint-DFT B-IFDMA with , it is straightforward to obtain the degradation expression.
As we observe, the degradation value for IFDMA is very close to that of the added-signal B-IFDMA. Hence, as the added-signal B-IFDMA model is obtained by superimposing IFDMA signals, the behavior of both systems is nearly similar in terms of CFO sensitivity.
In this paper, the two variants of B-IFDMA, the joint-DFT B-IFDMA and the added-signal B-IFDMA, have been investigated in terms of carrier frequency offset (CFO) sensitivity. CFO gives rise to useful power loss together with interference, leading to performance degradation. To evaluate this performance degradation, we have determined the theoretical expressions of the SINR degradation caused by CFO at the input of the decision device. The results of the analysis have shown a different behavior for both variants of B-IFDMA in terms of CFO sensitivity. Hence, when considering the added-signal B-IFDMA, the multiuser interference contributions are the dominant ones. For the joint-DFT B-IFDMA, the degradation is found to be dominated by self-user interference. As a consequence, it appears that, in terms of sensitivity to CFO, joint-DFT B-IFDMA is better suited than added-signal B-IFDMA for the uplink. Indeed, the effect of multiuser interference is far more complex to be corrected with the uplink case than downlink. Then, the numerical results have shown that the added-signal B-IFDMA is more robust to CFO for the downlink.
This work has been carried out in the framework of the Campus International sur la Sécurité et l Intermodalité des Transports (CISIT) project and funded by the French Ministry of Research, the Region Nord Pas de Calais, and the European Commission (FEDER funds).
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