2019/12/01 by Ali Bereyhi, Bereyhi, Ali, Vahid Jamali +10
Computer Science · Engineering · Mathematics · #Advanced Antenna and Metasurface Technologies #Advanced Power Amplifier Design #FOS: Computer and information sciences #FOS: Electrical engineering #Information Theory (cs.IT) #Radio Frequency Integrated Circuit Design #Signal Processing (eess.SP) #cs.IT #eess.SP #electronic engineering #information engineering #math.IT
paper · pdf · doi:10.48550/arxiv.1912.00485
Presented in the 2019 Asilomar Conference on Signals, Systems, and Computers. 5 pages, 2 figures
arxiv created 2019/12/01 · openalex publication_date 2019/12/01 · arxiv updated 2019/12/03 · openalex created_date 2020/07/29 · openalex updated_date 2026/07/28
Conventional hybrid analog-digital architectures for millimeter-wave massive multiple-input multiple-output (MIMO) systems suffer from poor scalability and high implementational costs. The former is caused by the high power loss in the analog network, and the latter is due to the fact that classic MIMO transmission techniques require power amplifiers with high back-offs. This paper proposes a novel hybrid analog-digital architecture which addresses both of these challenges. This architecture implements the analog front-end via a passive reflect- or transmit-array to resolve the scalability issue. To keep the system cost-efficient, a digital precoder is designed whose peak-to-average power ratio (PAPR) on each active antenna is tunable. Using the approximate message passing algorithm, this precoder is implemented with tractable computational complexity. The proposed architecture allows for the use of power amplifiers with low back-offs which reduces the overall radio frequency cost of the system. Numerical results demonstrate that for low PAPRs, significant performance enhancements are achieved compared to the state of the art.