Abstract
Interference alignment (IA) is one of the most promising techniques to eliminate interference in multiuser multiantenna systems. Simultaneous wireless information and power transfer (SWIPT) technology is applied to harvest energy from radio frequency signals in green communications, while interference signal is assumed to be utilized as energy supply source in SWIPT. In this paper, an enhanced maximum signal to interference plus noise ratio (MAX-SINR) strategy with interference leakage power constraint is proposed, which realizes a tradeoff between information transmission and interference leakage in multiuser multiantenna SWIPT systems. Optimization problem is formulated and a three-step optimization solution is proposed. Finally, the problem can be transformed to a standard semi-definite programming (SDP) to obtain optimal power splitting factor and system sum-rate (spectral efficiency). Simulation results are presented to show that system sum-rate performance is enhanced with the increasing of receiving antenna numbers. The tradeoff between sum-rate and the harvested energy can be realized via the proposed IA strategy.
Highlights
In wireless communications, interference poses great threat to the reliability of information transmission
In [2], the authors proposed two interference alignment strategies based on channel reciprocity, namely, the minimum interference leakage (MIN-IL) and the maximum signal to interference plus noise ratio (MAX-SINR)
Different from the above references that select one interference alignment strategy to eliminate interference, we propose an Interference alignment (IA) strategy that combines MAX-SINR and MIN-IL strategies, which can realize a tradeoff between information transmission and interference leakage
Summary
Interference poses great threat to the reliability of information transmission. Developing an effective interference management strategy is the main task in the design of interference cancellation wireless system. Interference alignment (IA) is gradually becoming one of the most promising techniques to optimally suppress interference in wireless communications [1]. In [2], the authors proposed two interference alignment strategies based on channel reciprocity, namely, the minimum interference leakage (MIN-IL) and the maximum signal to interference plus noise ratio (MAX-SINR). In order to enhance the convergence rate of interference alignment strategy, the minimum interference leakage based on Gaussian Newton method is studied in [3]
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