Distributed SNR-Based Power Allocation in Wireless Parallel Amplify-and-Forward Relay Transmissions Using Cournot Game

  • Authors:
  • Jun-Bo Wang;Jin-Yuan Wang;Xiaoyu Song;Zhe Cao;Ming Chen

  • Affiliations:
  • College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China 210016 and State Key Laboratory of Integrated Services Networks, Xidian Univer ...;National Mobile Communications Research Laboratory, Southeast University, Nanjing, China 210096;Department of Electrical and Computer Engineering, Portland State University, Portland, USA;College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China 210016;National Mobile Communications Research Laboratory, Southeast University, Nanjing, China 210096

  • Venue:
  • Wireless Personal Communications: An International Journal
  • Year:
  • 2013

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Abstract

In wireless communications, power allocation plays a paramount role in sustainable network lifetime prolongation with quality-of-service and network interference reduction. This paper investigates a distributed power allocation problem in wireless parallel amplify-and-forward (AF) relay transmissions. Particularly, the objective is set to minimize the total transmit power while guaranteeing the signal-to-noise ratio (SNR) requirement at the destination node. The distributed SNR-based power allocation problem is formulated and modeled as a Cournot game. Moreover, a distributed SNR-based power allocation algorithm is proposed to solve the Cournot game. The proposed distributed SNR-based power allocation algorithm is proved to converge to a unique equilibrium. To evaluate the distributed method, a centralized optimal SNR-based power allocation algorithm is also proposed. Numerical results show that the proposed distributed SNR-based power allocation algorithm can achieve comparable performance to the centralized optimal SNR-based power allocation algorithm.