Paper Info
Title
Distributed spectrum management and relay selection in interference-limited cooperative wireless networks
Abstract
It is well known that the data transport capacity of a wireless network can be increased by leveraging the spatial and frequency diversity of the wireless transmission medium. This has motivated the recent surge of research in cooperative and dynamic-spectrum-access networks. Still, as of today, a key open research challenge is to design distributed control strategies to dynamically jointly assign (i) portions of the spectrum and (ii) cooperative relays to different traffic sessions to maximize the resulting network-wide data rate. In this article, we make a significant contribution in this direction. First, we mathematically formulate the problem of joint spectrum management and relay selection for a set of sessions concurrently utilizing an interference-limited infrastructure-less wireless network. We then study distributed solutions to this (nonlinear and nonconvex) problem. The overall problem is separated into two subproblems, (i) spectrum management through power allocation with given relay selection strategy, and (ii) relay selection for a given spectral profile. Distributed solutions for each of the two subproblems are proposed, which are then analyzed based on notions from variational inequality (VI) theory. The distributed algorithms can be proven to converge, under certain conditions, to VI solutions, which are also Nash equilibrium (NE) solutions of the equivalent NE problems. A distributed algorithm based on iterative solution of the two subproblems is then designed. Performance and price of anarchy of the distributed algorithm are then studied by comparing it to the globally optimal solution obtained with a centralized algorithm. Simulation results show that the proposed distributed algorithm achieves performance that is within a few percentage points of the optimal solution.
Year
DOI
Venue
2011
10.1145/2030613.2030639
MobiCom
Keywords
Field
DocType
equivalent ne problem,centralized algorithm,iterative solution,cooperative relay,optimal solution,selection strategy,wireless network,joint spectrum management,interference-limited cooperative wireless network,overall problem,vi solution,distributed algorithm,price of anarchy,spectrum,variational inequality,global optimization,nash equilibrium,spectrum management
Wireless network,Mathematical optimization,Diversity scheme,Spectrum management,Computer science,Distributed algorithm,Price of anarchy,Nash equilibrium,Relay,Variational inequality,Distributed computing
Conference
Citations 
PageRank 
References 
24
0.86
21
Authors
4
Name
Order
Citations
PageRank
Zhangyu Guan120517.28
Tommaso Melodia24398290.59
dongfeng yuan318043.88
Dimitris Pados420826.49