TY - JOUR
T1 - Beamforming Design and Performance Analysis of Full-Duplex Cooperative NOMA Systems
AU - Mobini, Zahra
AU - Mohammadi, Mohammadali
AU - Chalise, Batu K.
AU - Suraweera, Himal A.
AU - Ding, Zhiguo
N1 - Funding Information:
Manuscript received November 30, 2017; revised August 8, 2018 and January 1, 2019; accepted April 21, 2019. Date of publication May 3, 2019; date of current version June 10, 2019. The work of Z. Mobini was supported by the Research Deputy of Shahrekord University under Grant 97GRN1M31714. The work of Z. Ding was supported in part by the U.K. Engineering and Physical Sciences Research Council (EPSRC) under Grant EP/L025272/2 and in part by H2020-MSCA-RISE-2015 under Grant 690750. This paper was presented in part at the IEEE Global Communications Conference (GLOBECOM 2017), Singapore, December 2017 [1]. The associate editor coordinating the review of this paper and approving it for publication was R. K. Ganti. (Corresponding author: Zahra Mobini.) Z. Mobini and M. Mohammadi are with the Faculty of Engineering, Shahrekord University, Shahrekord 115, Iran (e-mail: [email protected]; [email protected]).
Publisher Copyright:
© 2002-2012 IEEE.
PY - 2019/6
Y1 - 2019/6
N2 - We consider downlink non-orthogonal multiple access transmission where an access point communicates with a set of near and far users via a full-duplex multiple antenna relay. To deal with the inter-user interference at the near user and self-interference at the relay, we propose the optimum and suboptimal beamforming schemes. In addition, we consider two different user selection criteria, namely: 1) random near user and random far user (RNRF) selection and 2) nearest near user and nearest far user (NNNF) selection, and we derive the outage probabilities of the near and far users. Our findings reveal that as compared to half-duplex operation, full-duplex relaying can reduce the outage probability of the near users up to 63% in the case of NNNF user selection. With suboptimal beamforming schemes, the NNNF user selection shows a superior performance as compared to the RNRF user selection for all choices of transmit power, while with the optimum beamforming, the performance of the RNRF user selection converges to the NNNF user selection at high transmit power. The simulation results are provided to confirm the accuracy of the developed analytical results and facilitate a better performance comparison.
AB - We consider downlink non-orthogonal multiple access transmission where an access point communicates with a set of near and far users via a full-duplex multiple antenna relay. To deal with the inter-user interference at the near user and self-interference at the relay, we propose the optimum and suboptimal beamforming schemes. In addition, we consider two different user selection criteria, namely: 1) random near user and random far user (RNRF) selection and 2) nearest near user and nearest far user (NNNF) selection, and we derive the outage probabilities of the near and far users. Our findings reveal that as compared to half-duplex operation, full-duplex relaying can reduce the outage probability of the near users up to 63% in the case of NNNF user selection. With suboptimal beamforming schemes, the NNNF user selection shows a superior performance as compared to the RNRF user selection for all choices of transmit power, while with the optimum beamforming, the performance of the RNRF user selection converges to the NNNF user selection at high transmit power. The simulation results are provided to confirm the accuracy of the developed analytical results and facilitate a better performance comparison.
KW - beamforming
KW - Full-duplex
KW - non-orthogonal multiple access (NOMA)
KW - stochastic geometry
UR - http://www.scopus.com/inward/record.url?scp=85067107675&partnerID=8YFLogxK
U2 - 10.1109/TWC.2019.2913425
DO - 10.1109/TWC.2019.2913425
M3 - Article
AN - SCOPUS:85067107675
SN - 1536-1276
VL - 18
SP - 3295
EP - 3311
JO - IEEE Transactions on Wireless Communications
JF - IEEE Transactions on Wireless Communications
IS - 6
M1 - 8705669
ER -