Joint Subchannel, Rate and Power Allocation in OFDMA-Based Cognitive Wireless Mesh Network

  • Authors:

  • Jianmin Zhang;Zhaoyang Zhang;Haiyan Luo

  • Affiliations:

  • Institute of Information and Communication Engineering, Zhejiang University, Hangzhou, China and Zhejiang Provincial Key Laboratory of Information Network Technology, Hangzhou, China;Institute of Information and Communication Engineering, Zhejiang University, Hangzhou, China and Zhejiang Provincial Key Laboratory of Information Network Technology, Hangzhou, China;Institute of Information and Communication Engineering, Zhejiang University, Hangzhou, China and Zhejiang Provincial Key Laboratory of Information Network Technology, Hangzhou, China

  • Venue:
  • Wireless Personal Communications: An International Journal
  • Year:
  • 2011

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Abstract

In this paper, the problem of resource allocation in an Orthogonal Frequency Division Multiple Access-based Cognitive Wireless Mesh Network (CWMN) is addressed. The objective is to maximize the total utilities in a CWMN, which is defined as any increasing, concave and twice differentiable function of the end-to-end flow rate, by jointly allocating each link's rate, power and subchannels under the constraints of multiple primary users' Interference Temperature and multiple access interference. First, a centralized resource allocation algorithm is developed based on the Column Generation approach, and shown to be optimal. So it can perform as a criterion for designing other algorithms. Secondly, considering the applicability of algorithm in distributed system, a near-optimal distributed algorithm is proposed, which allocates subchannel based on routing information at first, and then jointly allocates the resource of rate and power. Finally, the simulation results validate the centralized and distributed algorithms, and show that better performance can be achieved than the conventional algorithm.