Performance Analysis of MIMO MRC Systems With Feedback Delay and Channel Estimation Error

Abstract

If citing, it is advised that you check and use the publisher's definitive version for pagination, volume/issue, and date of publication details. And where the final published version is provided on the Research Portal, if citing you are again advised to check the publisher's website for any subsequent corrections.

Zero Forcing Detection for Short Packet Transmission Under Channel Estimation Errors

“…1, the outage probability per stream is illustrated for various system setups, when M = 2 and for a total blocklength of L T = L + M = 302 channel uses. The exact simulation results are given by numerically evaluating (10), which sharply match the derived analytical results, which are computed via (7). Abbreviations 'imp' and 'perf' in Fig.…”

Deep Learning for Fading Channel Prediction

“…Some representative works are summarized below and also listed in Table 2. Li et al investigate the performance degradation of a MIMO maximal ratio combining system in the presence of feedback delay and channel estimation error [15], while the impact of feedback delay on spectral efficiency and bit error rate (BER) of MIMO is presented in [16]. Truong and Heath discuss the effect of channel aging in massive MIMO systems, where the analytical results show how capacity is lost due to time variation in the channel [17].…”

BER performance of an MRT‐HQAM system over Rayleigh fading channels with channel estimation errors and feedback delay

“…Interestingly, while most studies [10–16] treat the error terms introduced by ICSI as noise, the studies in [17, 18], and very recently in [19], treat these terms as a signal instead. More specifically, the authors of [19] investigated the error performance of the MIMO–MRC systems under the effects of the CEE and FD, and states that the error term due to the ICSI can be demodulated through envelope detection in practical wireless systems, which allows for the ICSI to be accounted for at the receiver. Therefore, the model in [19] does not treat this ICSI error term purely as interference or noise, but instead, treats the term as a signal, thereby enhancing the SNR of the system in ICSI.…”

“…More specifically, the authors of [19] investigated the error performance of the MIMO–MRC systems under the effects of the CEE and FD, and states that the error term due to the ICSI can be demodulated through envelope detection in practical wireless systems, which allows for the ICSI to be accounted for at the receiver. Therefore, the model in [19] does not treat this ICSI error term purely as interference or noise, but instead, treats the term as a signal, thereby enhancing the SNR of the system in ICSI. Furthermore, previous studies on MIMO beam‐forming systems in ICSI treat only the signal term as a random variable, whereas the method in [19] treats both the signal and error terms as random variables.…”