2018/04/23 by Mingjie Shao, Shao, Mingjie, Qiang Li +7
Computer Science · Engineering · Mathematics · #Advanced MIMO Systems Optimization #Advanced Wireless Network Optimization #Cooperative Communication and Network Coding #FOS: Computer and information sciences #Information Theory (cs.IT) #cs.IT #math.IT
paper · pdf · doi:10.48550/arxiv.1804.08305
To appear in IEEE Statistical Signal Processing Workshop 2018
arxiv created 2018/04/23 · openalex publication_date 2018/04/23 · arxiv updated 2018/04/24 · openalex created_date 2018/05/07 · openalex updated_date 2026/07/28
This paper considers the problem of constant envelope (CE) precoder designs for multiuser massive MISO downlink channels. The use of CE signals allows one to employ low-cost radio frequency chains and thereby facilitates the implementation of massive MIMO. However, the subsequent CE precoder designs are usually challenging owing to the non-convex CE constraints. The existing CE precoder designs consider minimization of some measures on the distortion levels of the received symbols, and they usually aim at improving the symbol-error rate (SER) performances. In this paper we formulate a minimum SER-based design for CE precoding. The design formulation is non-convex and we propose two low-complexity first-order algorithms using gradient projection. Curiously, our simulation results show that the proposed designs can achieve bit-error rate performance close to that of zero-forcing beamforming without CE signaling restrictions.