Ergodic energy efficiency of mmWave system considering insertion loss under dynamic subarray architecture

Guo, Ji-Chong, Yu, Qi-Yue, Meng, Wei-Xiao, and Xiang, Wei (2020) Ergodic energy efficiency of mmWave system considering insertion loss under dynamic subarray architecture. In: Proceedings of the IEEE Vehicular Technology Conference. 9129395. From: VTC2020-Spring: IEEE 91st Vehicular Technology Conference, 25-28 May 2020, Antwerp, Belgium.

[img] PDF (Published Version) - Published Version
Restricted to Repository staff only

View at Publisher Website:


Energy efficiency (EE) performance of millimeter-wave (mmWave) large-array systems attracts a lot of attention. And insertion loss is an inherent characteristic of hybrid precoding systems, which greatly reduces the system performance. EE analysis considering the insertion loss based on the dynamic array architecture is still an open issue. This paper researches the ergodic EE of mmWave hybrid pre-coding system with the insertion loss, based on the adaptive overlapped subarray (OSA) architecture. The ergodic EE is a more valuable indicator than the instantaneous EE for the system under dynamic architecture. However, it is difficult to directly calculate the precise ergodic EE due to the intractable relationship between EE and the channel matrix. Instead, we simplify the precise ergodic EE to get a lower bound, and analyze the ergodic EE performance based upon the lower bound. By this way, we analyze the ergodic EE performance of two typical hybrid pre-coding schemes taking the dynamic architectures. Simulation results verify the effectiveness of analyses.

Item ID: 67198
Item Type: Conference Item (Research - E1)
ISBN: 978-1-7281-5207-3
ISSN: 1550-2252
Keywords: energy efficiency, hybrid precoder, insertion loss, Millimeter wave, overlapped subarray architecture
Copyright Information: © 2020 IEEE.
Funders: National Natural Science Foundation of China (NNSFC), Natural Science Foundation of Heilongjiang Province (NSFHP)
Projects and Grants: NNSFC 61671171, NSFHP YQ2019F009
Date Deposited: 28 Apr 2021 23:16
FoR Codes: 40 ENGINEERING > 4006 Communications engineering > 400607 Signal processing @ 100%
Downloads: Total: 1
More Statistics

Actions (Repository Staff Only)

Item Control Page Item Control Page