ZHANG Yao, CAO Haotong, ZHOU Meng, LI Long, YANG Longxiang. Power Optimization in Cell-Free Massive MIMO with Non-ideal Hardware Transceiver[J]. Chinese Journal of Electronics, 2020, 29(1): 190-198. doi: 10.1049/cje.2019.12.005
Citation: ZHANG Yao, CAO Haotong, ZHOU Meng, LI Long, YANG Longxiang. Power Optimization in Cell-Free Massive MIMO with Non-ideal Hardware Transceiver[J]. Chinese Journal of Electronics, 2020, 29(1): 190-198. doi: 10.1049/cje.2019.12.005

Power Optimization in Cell-Free Massive MIMO with Non-ideal Hardware Transceiver

doi: 10.1049/cje.2019.12.005
Funds:  This work is supported by the National Key Research and Development Program of China (No.2018YFC1314903), the Natural Science Foundation of China (No.61861039, No.61372124, No.61427801), the Science and Technology Project Foundation of Gansu Province (No.18YF1GA060), and the Postgraduate Research and Practice Innovation Program of Jiangsu Province (No.SJKY19_0740).
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  • Corresponding author: YANG Longxiang (corresponding author) is with the College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, China. He is a Full Professor and a Ph.D. Supervisor of NJUPT, where he is the Vice Head of the College of Telecommunications and Information Engineering. His research interests include cooperative communication, network coding, wireless communication theory and IoT. (Email:yanglx@njupt.edu.cn.)
  • Received Date: 2018-09-14
  • Rev Recd Date: 2019-05-29
  • Publish Date: 2020-01-10
  • A downlink cell-free massive Multipleinput multiple-output (mMIMO) system is explored. To investigate the impact of hardware distortion on downlink cell-free mMIMO, this paper recalls a well-established model of hardware impairment and derives a new closedform downlink per-user Spectral efficiency (SE) expression for distributed conjugate beamforming precoding. Based on this trackable expression, two power control algorithms, namely max-total-SE and mixed Quality-of-service (QoS) algorithms, are proposed. Numerical results indicate that the downlink per-user SE is primarily limited by the hardware quality of the receiver, especially when the user corresponds to the receiver. In addition, the proposed max-total-SE algorithm has a fast convergence rate and can significantly improve the total SE compared to the Equal power control (EPC) scheme. What's more, our mixed QoS algorithm also performs well in many respects.
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