title: Adaptive limited feedback for interference alignment in MIMO interference channels.
abstract: It is very important that the radar sensor network has autonomous capabilities such as self-managing, etc. Quite often, MIMO interference channels are applied to radar sensor networks, and for self-managing purpose, interference management in MIMO interference channels is critical. Interference alignment (IA) has the potential to dramatically improve system throughput by effectively mitigating interference in multi-user networks at high signal-to-noise (SNR). However, the implementation of IA predominantly relays on perfect and global channel state information (CSI) at all transceivers. A large amount of CSI has to be fed back to all transmitters, resulting in a proliferation of feedback bits. Thus, IA with limited feedback has been introduced to reduce the sum feedback overhead. In this paper, by exploiting the advantage of heterogeneous path loss, we first investigate the throughput of IA with limited feedback in interference channels while each user transmits multi-streams simultaneously, then we get the upper bound of sum rate in terms of the transmit power and feedback bits. Moreover, we propose a dynamic feedback scheme via bit allocation to reduce the throughput loss due to limited feedback. Simulation results demonstrate that the dynamic feedback scheme achieves better performance in terms of sum rate.
authors.affiliation: School of Information and Communication Engineering, BeiJing University of Posts and Telecommunications, Xitucheng Road, Beijing, 100876 China.
authors.forename: Yang
authors.initials: Y
authors.lastname: Zhang
authors.affiliation: School of Information and Communication Engineering, BeiJing University of Posts and Telecommunications, Xitucheng Road, Beijing, 100876 China ; College of Computer and Communication Engineering, China University of Petroleum, Changjiang West Road, Qingdao, 266580 China.
authors.forename: Chenglin
authors.initials: C
authors.lastname: Zhao
authors.affiliation: Department of Disaster Prevention Instrument, Institute of Disaster Prevention, Xueyuan Road, Sanhe, 065201 China.
authors.forename: Juan
authors.initials: J
authors.lastname: Meng
authors.affiliation: College of Computer and Communication Engineering, China University of Petroleum, Changjiang West Road, Qingdao, 266580 China.
authors.forename: Shibao
authors.initials: S
authors.lastname: Li
authors.affiliation: College of Computer and Communication Engineering, China University of Petroleum, Changjiang West Road, Qingdao, 266580 China.
authors.forename: Li
authors.initials: L
authors.lastname: Li
keywords: Interference alignment; Limited feedback; MIMO; Waterfilling