TY - GEN
T1 - An efficient user selection technique for full-duplex MU-MISO systems
AU - Ahn, Minki
AU - Kong, Han Bae
AU - Shin, Hun Min
AU - Lee, Hoon
AU - Lee, Inkyu
N1 - Funding Information:
This work was supported by the National Research Foundation of Korea (NRF) funded by the Korea Government (MSIP) under Grant 2014R1A2A1A10049769.
Publisher Copyright:
© 2016 IEEE.
PY - 2016/7/2
Y1 - 2016/7/2
N2 - In this paper, we propose a new user selection algorithm for full-duplex (FD) multiuser multiple-input single-output (MU-MISO) systems where a FD base station (BS) communicates with multiple half-duplex (HD) users in both downlink and uplink channels simultaneously. Due to self-interference at the BS and co-channel interference among users, a joint downlink and uplink user selection to maximize system performance incurs high search complexity. To reduce the complexity, we introduce a two step user selection algorithm which successively chooses downlink users followed by uplink users based on the decomposed sum rate of the FD systems. From the numerical results, we confirm that the proposed user selection algorithm for the FD MU systems exhibits a small performance loss compared to the optimal user selection algorithm with much reduced complexity.
AB - In this paper, we propose a new user selection algorithm for full-duplex (FD) multiuser multiple-input single-output (MU-MISO) systems where a FD base station (BS) communicates with multiple half-duplex (HD) users in both downlink and uplink channels simultaneously. Due to self-interference at the BS and co-channel interference among users, a joint downlink and uplink user selection to maximize system performance incurs high search complexity. To reduce the complexity, we introduce a two step user selection algorithm which successively chooses downlink users followed by uplink users based on the decomposed sum rate of the FD systems. From the numerical results, we confirm that the proposed user selection algorithm for the FD MU systems exhibits a small performance loss compared to the optimal user selection algorithm with much reduced complexity.
UR - http://www.scopus.com/inward/record.url?scp=85017000583&partnerID=8YFLogxK
U2 - 10.1109/VTCFall.2016.7880897
DO - 10.1109/VTCFall.2016.7880897
M3 - Conference contribution
AN - SCOPUS:85017000583
T3 - IEEE Vehicular Technology Conference
BT - 2016 IEEE 84th Vehicular Technology Conference, VTC Fall 2016 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 84th IEEE Vehicular Technology Conference, VTC Fall 2016
Y2 - 18 September 2016 through 21 September 2016
ER -