CLC number: TN915; TP393
On-line Access: 2010-01-01
Received: 2009-02-10
Revision Accepted: 2009-09-30
Crosschecked: 2009-12-04
Cited: 1
Clicked: 10207
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[J]. Journal of Zhejiang University Science C, 2010, 11(2): 139-150.
@article{title="Joint bandwidth allocation and power control with interference constraints in multi-hop cognitive radio networks",
author="Guang-xi ZHU, Xue-bing PEI, Dai-ming QU, Jian LIU, Qing-ping WANG, Gang SU",
journal="Journal of Zhejiang University Science C",
volume="11",
number="2",
pages="139-150",
year="2010",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.C0910070"
}
%0 Journal Article
%T Joint bandwidth allocation and power control with interference constraints in multi-hop cognitive radio networks
%A Guang-xi ZHU
%A Xue-bing PEI
%A Dai-ming QU
%A Jian LIU
%A Qing-ping WANG
%A Gang SU
%J Journal of Zhejiang University SCIENCE C
%V 11
%N 2
%P 139-150
%@ 1869-1951
%D 2010
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.C0910070
TY - JOUR
T1 - Joint bandwidth allocation and power control with interference constraints in multi-hop cognitive radio networks
A1 - Guang-xi ZHU
A1 - Xue-bing PEI
A1 - Dai-ming QU
A1 - Jian LIU
A1 - Qing-ping WANG
A1 - Gang SU
J0 - Journal of Zhejiang University Science C
VL - 11
IS - 2
SP - 139
EP - 150
%@ 1869-1951
Y1 - 2010
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.C0910070
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.
[1] Akyildiz, I.F., Altunbasak, Y., Fekri, F., Sivakumar, R., 2004. AdaptNet: adaptive protocol suite for next-generation wireless internet. IEEE Commun. Mag., 42(3):128-138.
[2] Akyildiz, I.F., Lee, W.Y., Vuran, M.C., Mohanty, S., 2006. NeXt generation/dynamic spectrum access/cognitive radio wireless networks: a survey. Comput. Networks, 50(13):2127-2159.
[3] Cao, L., Zheng, H., 2005. Distributed Spectrum Allocation via Local Bargaining. 2nd IEEE Int. Conf. on Sensor and Ad Hoc Communications and Networks, p.475-486.
[4] Chowdhury, K.R., Akyildiz, I.F., 2008. Cognitive wireless mesh networks with dynamic spectrum access. IEEE J. Sel. Areas Commun., 26(1):168-181.
[5] Ferrari, G., Tonguz, O.K., 2007. Impact of mobility on the BER performance of ad hoc wireless networks. IEEE Trans. Vehic. Technol., 56(1):271-286.
[6] Haykin, S., 2005. Cognitive radio: brain-empowered wireless communications. IEEE J. Sel. Areas Commun., 23(2):201-220.
[7] Le, L., Hossain, E., 2007. QoS-Aware Spectrum Sharing in Cognitive Wireless Networks. IEEE GLOBECOM, p.26-30.
[8] Peng, C., Zheng, H., Zhao, B.Y., 2006. Utilization and fairness in spectrum assignment for opportunistic spectrum access. Mob. Networks Appl., 11(4):555-576.
[9] Ramanathan, S., 1999. A unified framework and algorithm for channel assignment in wireless networks. Wirel. Networks, 5(2):81-94.
[10] Shi, Y., Hou, Y.T., 2007. Optimal Power Control for Multi-Hop Software Defined Radio Networks. 26th IEEE Int. Conf. on Computer Communications, p.1694-1702.
[11] Tang, J., Xue, G.L., Chandler, C., Zhang, W.Y., 2006. Link scheduling with power control for throughput enhancement in multihop wireless networks. IEEE Trans. Vehic. Technol., 55(3):733-742.
[12] Xin, C.C., Xie, B., Shen, C.C., 2005. A Novel Layered Graph Model for Topology Formation and Routing in Dynamic Spectrum Access Networks. IEEE DySPAN, p.308-317.
[13] Xing, Y.P., Chandramouli, R., Mangold, S., 2006. Dynamic spectrum access in open spectrum wireless network. IEEE J. Sel. Areas Commun., 24(3):626-637.
[14] Xing, Y.P., Mathur, C.N., Chandramouli, R., Subbalakshmi, K.P., 2007. Dynamic spectrum access with QoS and interference temperature constraints. IEEE Trans. Mob. Comput., 6(4):423-433.
[15] Zhao, Q., Geirhofer, S., Tong, L., Sadler, B.M., 2007. Optimal Dynamic Spectrum Access via Periodic Channel Sensing. IEEE Wireless Communications and Networking Conf., p.33-37.
[16] Zheng, H., Peng, C., 2005. Collaboration and Fairness in Opportunistic Spectrum Access. IEEE Int. Conf. on Communications, p.3132-3136.
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