Literature DB >> 32192163

Impacts of Imperfect Channel State Information, Transceiver Hardware, and Self-Interference Cancellation on the Performance of Full-Duplex MIMO Relay System.

Ba Cao Nguyen1, Nguyen Nhu Thang1, Xuan Nam Tran2, Le The Dung3,4.   

Abstract

Imperfect channel state information (I-CSI) and imperfect transceiver hardware often happen in wireless communication systems due to the time-varying and random characteristics of both wireless channels and hardware components. The impacts of I-CSI and hardware impairments (HI) reduce not only the system performance but also the self-interference cancellation (SIC) capability of full-duplex (FD) devices. To investigate the system performance in realistic scenarios, in this paper, we consider the performance of an FD multiple-input multiple-output (MIMO) relay system under the effects of I-CSI, imperfect SIC (I-SIC), and imperfect transceiver hardware. We mathematically derive the exact closed-form expressions of the outage probability (OP) and ergodic capacity of the considered HI-FD-MIMO relay system over Rayleigh fading channels with the existence of I-CSI, I-SIC, and HI. Numerical results indicate that the performance in terms of OP and capacity reaches saturation faster, especially when the channel estimation error, the residual self-interference (RSI), and HI levels are remarkable. Therefore, various solutions for effectively reducing the channel estimation error, RSI, and HI levels in the HI-FD-MIMO relay system should be carried out to improve the system performance. All derived mathematical expressions are verified through Monte-Carlo simulations.

Entities:  

Keywords:  channel state information; ergodic capacity; full-duplex; hardware impairments; multiple-input multiple-output; outage probability

Year:  2020        PMID: 32192163     DOI: 10.3390/s20061671

Source DB:  PubMed          Journal:  Sensors (Basel)        ISSN: 1424-8220            Impact factor:   3.576


  1 in total

1.  Self-Interference Channel Training for Full-Duplex Massive MIMO Systems.

Authors:  Taehyoung Kim; Kyungsik Min; Sangjoon Park
Journal:  Sensors (Basel)       Date:  2021-05-07       Impact factor: 3.576

  1 in total

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