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Front. Inform. Technol. Electron. Eng.  2010, Vol. 11 Issue (2): 139-150    DOI: 10.1631/jzus.C0910070
    
Joint bandwidth allocation and power control with interference constraints in multi-hop cognitive radio networks
Guang-xi ZHU, Xue-bing PEI*, Dai-ming QU, Jian LIU, Qing-ping WANG, Gang SU
Wuhan National Laboratory for Optoelectronics, Department of Electronics & Information Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
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Abstract  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.

Key wordsBandwidth allocation      Power control      Multi-hop cognitive radio networks      Spectrum management      Heterogeneous networks     
Received: 10 February 2009      Published: 01 January 2010
CLC:  TN915  
  TP393  
Fund:  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), and the Natural Science Foundation of Hubei Province, China (No.
2008CDB325)
Cite this article:

Guang-xi ZHU, Xue-bing PEI, Dai-ming QU, Jian LIU, Qing-ping WANG, Gang SU. Joint bandwidth allocation and power control with interference constraints in multi-hop cognitive radio networks. Front. Inform. Technol. Electron. Eng., 2010, 11(2): 139-150.

URL:

http://www.zjujournals.com/xueshu/fitee/10.1631/jzus.C0910070     OR     http://www.zjujournals.com/xueshu/fitee/Y2010/V11/I2/139


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

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 
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