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In cognitive radio network (CRN), TCP end to end throughput is one of the key issues to measure its performance. However, most of existing research efforts devoted to TCP performance improvement have two weaknesses as follows. First, most of them only consider the underlying parameters to optimize the physical performance, but the TCP performance is neglected. Second, they are largely formulated as a Markov decision process (MDP), which requires a complete knowledge of network and cannot be directly applied to CRNs. To solve the above problems, a Q-BMDP algorithm is proposed in this paper. Each user in CRN combines modulation type and transmitting power at the physical layer, access channels at the media access control layer and TCP congestion control factor to maximize the TCP throughput. Due to the existence of perception error of environment, this issue is formulated as a partial observable Markov decision process (POMDP) which is then converted to belief state MDP, with Q-value iteration to find the approximately optimal strategy. Simulation and analysis results show that the proposed algorithm can be approximately converged to optimal strategy under a maximum error limit, and can effectively improve TCP throughput in a dynamic wireless network under the premise of the limited power consumption.
[1] Wang B B, Liu K, Ray J 2011 IEEE J. Sel. Top. Sign. Proces. 5 5
[2] Zu Y X, Zhou J 2011 Acta Phys. Sin. 60 079501 (in Chinese) [俎云宵, 周杰 2011 物理学报 60 079501]
[3] Zhao Z J, Xu S Y, Zheng S L, Yang X N 2009 Acta Phys. Sin. 58 5118 (in Chinese) [赵知劲, 徐世宇, 郑世链, 杨小牛 2009 物理学报 58 5118]
[4] Mwangoka J W, Letaief K B, Cao Z G 2009 PHYCOM 2 103
[5] Shiang H P, van der Schaar M 2007 IEEE J. Sel. Areas Commun. 25 770
[6] Fu F W, van der Schaar M 2010 IEEE Trans. Signal Process. 58 1401
[7] Zhang Y, Fu F W, van der Schaar M 2010 IEEE Trans. Signal Process. 58 3108
[8] Lin Z C, van der Schaar M 2011 IEEE Trans. Wireless Commun. 1 102
[9] Zhao Q, Lang T, Ananthram, Chen Y X 2007 IEEE J. Sel. Areas Commun. 25 589
[10] Wang Y C, Ren P Y, Su Z 2011 IEICE Trans. Commun. E94-B 1621
[11] Lou C Q, Yu F R, Ji H, Leung V C M 2010 IEEE Trans. Veh. Technol. 59 2485
[12] Wei Y F, Yu F R, Song M, Zhang Y 2011 IET Commun. 5 2257
[13] Luo C Q, Yu F R, Ji H, Leung V C M 2011 Wirel. Netw. 17 479
[14] Kwon W Y, Suh I H, Lee S 2011 Int. J. Control, Automat. Syst. 9 328
[15] Maskery M, Krishnamurthy V, Zhao Q 2009 IEEE Trans. Commun. 57 459
[16] Krishnaswamy D 2002 Proceedings of the 56th IEEE Conference on Vehicular Technology Vancouver, BC, Canada, September 24-28, 2002 p1312
[17] Lu J, Letaief K B, Chuang J C I, Liou M L 1999 IEEE Trans. Commun. 47 181
[18] Parvez N, Mahanti A, Williamson C 2010 IEEE/ACM Trans. Networking 18 448
[19] Wiering M A, Kooi T 2010 Proceedings of the IEEE International Joint Conference on Neural Networks Barcelona, Spain, July 18-23, 2010 p1
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[1] Wang B B, Liu K, Ray J 2011 IEEE J. Sel. Top. Sign. Proces. 5 5
[2] Zu Y X, Zhou J 2011 Acta Phys. Sin. 60 079501 (in Chinese) [俎云宵, 周杰 2011 物理学报 60 079501]
[3] Zhao Z J, Xu S Y, Zheng S L, Yang X N 2009 Acta Phys. Sin. 58 5118 (in Chinese) [赵知劲, 徐世宇, 郑世链, 杨小牛 2009 物理学报 58 5118]
[4] Mwangoka J W, Letaief K B, Cao Z G 2009 PHYCOM 2 103
[5] Shiang H P, van der Schaar M 2007 IEEE J. Sel. Areas Commun. 25 770
[6] Fu F W, van der Schaar M 2010 IEEE Trans. Signal Process. 58 1401
[7] Zhang Y, Fu F W, van der Schaar M 2010 IEEE Trans. Signal Process. 58 3108
[8] Lin Z C, van der Schaar M 2011 IEEE Trans. Wireless Commun. 1 102
[9] Zhao Q, Lang T, Ananthram, Chen Y X 2007 IEEE J. Sel. Areas Commun. 25 589
[10] Wang Y C, Ren P Y, Su Z 2011 IEICE Trans. Commun. E94-B 1621
[11] Lou C Q, Yu F R, Ji H, Leung V C M 2010 IEEE Trans. Veh. Technol. 59 2485
[12] Wei Y F, Yu F R, Song M, Zhang Y 2011 IET Commun. 5 2257
[13] Luo C Q, Yu F R, Ji H, Leung V C M 2011 Wirel. Netw. 17 479
[14] Kwon W Y, Suh I H, Lee S 2011 Int. J. Control, Automat. Syst. 9 328
[15] Maskery M, Krishnamurthy V, Zhao Q 2009 IEEE Trans. Commun. 57 459
[16] Krishnaswamy D 2002 Proceedings of the 56th IEEE Conference on Vehicular Technology Vancouver, BC, Canada, September 24-28, 2002 p1312
[17] Lu J, Letaief K B, Chuang J C I, Liou M L 1999 IEEE Trans. Commun. 47 181
[18] Parvez N, Mahanti A, Williamson C 2010 IEEE/ACM Trans. Networking 18 448
[19] Wiering M A, Kooi T 2010 Proceedings of the IEEE International Joint Conference on Neural Networks Barcelona, Spain, July 18-23, 2010 p1
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