An Enhanced MAX-SINR Strategy With Interference Leakage Power Constraint in Multiuser Multiantenna SWIPT Systems
Autor: | Yujun Wang, Xiaorong Xu, Wei Feng, Yingbiao Yao |
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Rok vydání: | 2021 |
Předmět: |
MAX-SINR
Optimization problem General Computer Science multiuser multiantenna SWIPT systems business.industry Computer science ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS General Engineering Signal-to-interference-plus-noise ratio Spectral efficiency TK1-9971 Interference alignment (IA) Signal-to-noise ratio Interference (communication) semi-definite programming (SDP) Electronic engineering Wireless Maximum power transfer theorem General Materials Science Electrical engineering. Electronics. Nuclear engineering business Energy (signal processing) Computer Science::Information Theory |
Zdroj: | IEEE Access, Vol 9, Pp 127833-127840 (2021) |
ISSN: | 2169-3536 |
Popis: | 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. |
Databáze: | OpenAIRE |
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