Distributed power control and random access for spectrum sharing with QoS constraint

  • Authors:

  • Bo Yang;Yanyan Shen;Gang Feng;Chengnian Long;Zhong-Ping Jiang;Xinping Guan

  • Affiliations:

  • Department of Manufacturing Engineering and Engineering Management, City University of Hong Kong, Hong Kong SAR, PR China and Center for Networking Control and Bioinformatics, The Institute of Ele ...;Center for Networking Control and Bioinformatics, The Institute of Electrical Engineering, Yanshan University, Qinhuangdao 066004, PR China;Department of Manufacturing Engineering and Engineering Management, City University of Hong Kong, Hong Kong SAR, PR China;Center for Networking Control and Bioinformatics, The Institute of Electrical Engineering, Yanshan University, Qinhuangdao 066004, PR China;Department of Electrical and Computer Engineering, Polytechnic Institute of New York University, Brooklyn, NY 11201, USA;Center for Networking Control and Bioinformatics, The Institute of Electrical Engineering, Yanshan University, Qinhuangdao 066004, PR China and Department of Automation, School of Electronic, Info ...

  • Venue:
  • Computer Communications
  • Year:
  • 2008

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Abstract

Distributed spectrum sharing with minimum quality of service (QoS) requirement and interference temperature (IT) constraint is studied in this paper. This problem can be formulated as a non-convex optimization problem with conflicting constraints. To make solutions to this problem feasible, random access and power control are jointly considered. The challenges in solving this problem arise from the coupling in utility functions, the conflicting constraint sets, and coupled control variables. Moreover, there is no centralized controller or base station in networks to coordinate unlicensed users' transmission and protect active users' QoS under IT constraint. By introducing variable substitution and transformation, we derive a distributed random access and power control algorithm that can achieve global optimal solution to the original problem. Convergence of the algorithm is proven theoretically. Simulation results demonstrate that both QoS guarantee and interference avoidance can be achieved even with channel gain variations.