By exploiting angular sparsity that mmWave channels exhibit, limited feedback hybrid precoding (LFHP) can achieve high performance with a largely reduced system over-head. Most existing works focus on optimizing the system mutual information (SMI), where the receiver complexity is often neglected. More importantly, these SMI-oriented schemes provide no guarantee on the bit error rate (BER) performance, which is a key factor in evaluating system performance. In this paper, we work on devising a BER-oriented LFHP scheme with hybrid structure employed at the receiver. Based on the minimum BER criterion, an optimal zero-forcing based LFHP scheme is first derived when the transmitter has a digital structure. Next, an iterative algorithm is proposed to jointly construct the hybrid analog/digital precoder when both the transceivers employ hybrid structures. Simulations show that with our proposed LFHP scheme, the achieved BER under hybrid transceivers can be very close to the ideal benchmark obtained under one hybrid end.
|Original language||English (US)|
|Title of host publication||2019 IEEE/CIC International Conference on Communications in China, ICCC 2019|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Number of pages||5|
|State||Published - Aug 2019|
|Event||2019 IEEE/CIC International Conference on Communications in China, ICCC 2019 - Changchun, China|
Duration: Aug 11 2019 → Aug 13 2019
|Name||2019 IEEE/CIC International Conference on Communications in China, ICCC 2019|
|Conference||2019 IEEE/CIC International Conference on Communications in China, ICCC 2019|
|Period||8/11/19 → 8/13/19|
Bibliographical noteFunding Information:
This work was in part supported by the National Key Research and Development Project under Grant 2017YFE0121400 and Grant 2017YFE0119300, the Major Project from Beijing Municipal Science and Technology Commission under Grant Z181100003218007, the National Science and Technology Major Project under Grant No. 2018ZX03001031, and the National Natural Science Foundation of China under Grants 61622101 and 61571020.
© 2019 IEEE.