Joint bandwidth allocation and power control with interference constraints in multi-hop cognitive radio networks  

Joint bandwidth allocation and power control with interference constraints in multi-hop cognitive radio networks

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作  者:Guang-xi ZHU Xue-bing PEI Dai-ming QU Jian LIU Qing-ping WANG Gang SU 

机构地区:[1]Wuhan National Laboratory for Optoelectronics, Department of Electronics & Information Engineering, Huazhong University of Science and Technology, Wuhan 430074, China

出  处:《Journal of Zhejiang University-Science C(Computers and Electronics)》2010年第2期139-150,共12页浙江大学学报C辑(计算机与电子(英文版)

基  金:Project supported by the National Natural Science Foundation of China (Nos. 60496315, 60702039, and 60802009);the National High-Tech Research and Development Program (863) of China (Nos. 2006AA0Z277 and 2008AA01Z211);the International Science and Technology Cooperation Programme of China (No. 2008DFA11630);the Natural Science Foundation of Hubei Province, China (No. 2008CDB325)

摘  要:We investigate the bandwidth allocation and power control schemes in orthogonal frequency division multiplexing (OFDM) based multi-hop cognitive radio networks,and the color-sensitive graph coloring (CSGC) model is viewed as an efficient solution to the spectrum assignment problem. We extend the model by taking into account the power control strategy to avoid interference among secondary users and adapt dynamic topology. We formulate the optimization problem encompassing the channel allocation,power control with the interference constrained below a tolerable limit. The optimization objective with two different optimization strategies focuses on the routes rather than the links as in traditional approaches. A heuristic solution to this nondeterministic polynomial (NP)-hard problem is presented,which performs iterative channel allocation according to the lowest transmission power that guarantees the link connection and makes channel reuse as much as possible,and then the transmission power of each link is maximized to improve the channel capacity by gradually adding power level from the lowest transmission power until all co-channel links cannot satisfy the interference constraints. Numerical results show that our proposed strategies outperform the existing spectrum assignment algorithms in the performance of both the total network bandwidth and minimum route bandwidth of all routes,meanwhile,saving the transmission power.We investigate the bandwidth allocation and power control schemes in orthogonal frequency division multiplexing (OFDM) based multi-hop cognitive radio networks, and the color-sensitive graph coloring (CSGC) model is viewed as an efficient solution to the spectrum assignment problem. We extend the model by taking into account the power control strategy to avoid interference among secondary users and adapt dynamic topology. We formulate the optimization problem encompassing the channel allocation, power control with the interference constrained below a tolerable limit. The optimization objective with two different optimization strategies focuses on the routes rather than the links as in traditional approaches. A heuristic solution to this nondeterministic polynomial (NP)-hard problem is presented, which performs iterative channel allocation according to the lowest transmission power that guarantees the link connection and makes channel reuse as much as possible, and then the transmission power of each link is maximized to improve the channel capacity by gradually adding power level from the lowest transmission power until all co-channel links cannot satisfy the interference constraints. Numerical results show that our proposed strategies outperform the existing spectrum assignment algorithms in the performance of both the total network bandwidth and minimum route bandwidth of all routes, meanwhile, saving the transmission power.

关 键 词:Bandwidth allocation Power control Multi-hop cognitive radio networks Spectrum management Heterogeneous networks 

分 类 号:TN915[电子电信—通信与信息系统] TP393[电子电信—信息与通信工程]

 

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