2018/01/22 by Nikolaos I. Miridakis, Theodoros A. Tsiftsis, Miridakis, Nikolaos I. +3
Engineering · #Advanced MIMO Systems Optimization #Energy Harvesting in Wireless Networks #FOS: Computer and information sciences #Full-Duplex Wireless Communications #Information Theory (cs.IT)
paper · pdf · doi:10.48550/arxiv.1801.07209
openalex publication_date 2018/01/22 · openalex created_date 2022/10/01 · openalex updated_date 2026/07/28
In this paper, the performance of an underlay multiple-input multiple-output\n(MIMO) cognitive radio system is analytically studied. In particular, the\nsecondary transmitter operates in a spatial multiplexing transmission mode,\nwhile a zero-forcing detector is employed at the secondary receiver.\nAdditionally, the secondary system is interfered by single-antenna primary\nusers (PUs). To enhance the performance of secondary transmission, optimal\npower allocation is performed at the secondary transmitter with a constraint on\nthe maximum allowable outage threshold specified by the PUs. Further, the\neffective number of secondary transmit antennas is specified based on the\noptimal power allocation for an arbitrary MIMO scale. Also, a lower bound on\nthe ergodic channel capacity of the secondary system is derived in a\nclosed-form expression. Afterwards, the scenario of a massive MIMO secondary\nsystem is thoroughly analyzed and evaluated, where the harvesting-enabled\nsecondary transmission is studied. The optimal power allocation, the effective\nnumber of secondary transmit antennas, the efficient tradeoff between\ntransmit-and-harvest secondary antennas, and the average channel capacity of\nthe secondary system are analytically presented. Finally, extensive numerical\nand simulation results corroborate the effectiveness of our analysis, while\nsome useful engineering insights are provided.\n