TY - GEN
T1 - Power-efficient distributed beamforming for multiple full-duplex MIMO relays
AU - Xu, Xiaofei
AU - Zhao, Ming
AU - Xiao, Limin
AU - Chen, Xiang
AU - Zhou, Shidong
AU - Wang, Jing
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/12/14
Y1 - 2015/12/14
N2 - Full-duplex multiple-input-multiple-output (MIMO) relaying is capable of providing coverage for remote users with low power consumption, by exploiting the spatial dimensions of MIMO to suppress different types of interference, including self interference (SI) and multi-user interference (MUI). In a general network with multiple full-duplex MIMO relays, inter-relay interference (IRI) emerges and degrades system performance by consuming excessive transmit power. In this paper, distributed beamforming is investigated for interference suppression in multiple full-duplex MIMO relay network. Based on successive convex approximation and proximal point method, a distributed beamforming algorithm is proposed to suppress the three types of interference jointly, with the target of minimizing total transmit power under individual user rate constraints. The proposed iterative algorithm requires only local information exchange at the relays, which reduces the signaling overhead in largescale networks. An upper bound of the stepsizes that guarantee convergence is also given. Simulation results are presented to validate effectiveness of our proposal.
AB - Full-duplex multiple-input-multiple-output (MIMO) relaying is capable of providing coverage for remote users with low power consumption, by exploiting the spatial dimensions of MIMO to suppress different types of interference, including self interference (SI) and multi-user interference (MUI). In a general network with multiple full-duplex MIMO relays, inter-relay interference (IRI) emerges and degrades system performance by consuming excessive transmit power. In this paper, distributed beamforming is investigated for interference suppression in multiple full-duplex MIMO relay network. Based on successive convex approximation and proximal point method, a distributed beamforming algorithm is proposed to suppress the three types of interference jointly, with the target of minimizing total transmit power under individual user rate constraints. The proposed iterative algorithm requires only local information exchange at the relays, which reduces the signaling overhead in largescale networks. An upper bound of the stepsizes that guarantee convergence is also given. Simulation results are presented to validate effectiveness of our proposal.
KW - Approximation methods
KW - Array signal processing
KW - Interference
KW - MIMO
KW - Relays
KW - Signal processing algorithms
KW - Silicon
UR - https://www.scopus.com/pages/publications/84959308102
U2 - 10.1109/MILCOM.2015.7357555
DO - 10.1109/MILCOM.2015.7357555
M3 - 会议稿件
AN - SCOPUS:84959308102
T3 - Proceedings - IEEE Military Communications Conference MILCOM
SP - 872
EP - 877
BT - 2015 IEEE Military Communications Conference, MILCOM 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 34th Annual IEEE Military Communications Conference, MILCOM 2015
Y2 - 26 October 2015 through 28 October 2015
ER -