A Genetic Approach for Joint Link Scheduling and Power Control in SIC-enable Wireless Networks

• Xiaodong Wang,
• Hu Shen Shaohe Lv,
• ,
• Xingming Zhou,

Vol. 10, No. 4, April 29, 2016
10.3837/tiis.2016.04.012, Download Paper (Free):

• network capacity
• link scheduling
• Power control
• successive interference cancellation
• genetic algorithm

Abstract

Successive interference cancellation (SIC) is an effective means of multi-packet reception to combat interference at the physical layer. We investigate the joint optimization issue of channel access and power control for capacity maximization in SIC-enabled wireless networks. We propose a new interference model to characterize the sequential detection nature of SIC. Afterward, we formulize the joint optimization problem, prove it to be a nondeterministic polynomial-time-hard problem, and propose a novel approximation approach based on the genetic algorithm (GA). Finally, we discuss the design and parameter setting of the GA approach and validate its performance through extensive simulations.

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