Distributed Relay Selection and Channel Choice in Cognitive Radio Network
In this paper, we study the cooperative communications where multiple cognitive radio (CR) transmit-receive pairs competitive maximize their own throughputs. In CR networks, the influences of primary users and the spectrum availability are usually different among CR users. Due to the existence of multiple relay nodes and the different spectrum availability, each CR transmit-receive pair should not only select the relay node but also choose the appropriate channel. For this distributed problem, we propose a game theoretic framework to formulate this problem and we apply a regret-matching learning algorithm which is leading to correlated equilibrium. We further formulate a modified regret-matching learning algorithm which is fully distributed and only use the local information of each CR transmit-receive pair. This modified algorithm is more practical and suitable for the cooperative communications in CR network. Simulation results show the algorithm convergence and the modified learning algorithm can achieve comparable performance to the original regretmatching learning algorithm.
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sharing radios, IEEE Circuits and Systems Magazine, Vol. 6, Issue
2, pp. 30-45, 2006.
[2] N. Devroye, P. Mitran, V. Tarokh, Limits on communications in a
cognitive radio channel, IEEE Communications Magazine, Vol. 44, Issue
6, pp. 44-49, June 2006.
[3] I.F. Akyildiz, W.Y. Lee, M.C. Vuran, and S. Mohanty, NeXt generation/
dynamic spectrum access/cognitive radio wireless networks: a
survey, Computer Networks, Vol. 50, Issue 13, pp. 2127-2159, Sept. 15,
2006.
[4] J. Mitola III et al, "Cognitive Radios: Making Software Radios more
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[5] S. Haykin, "Cognitive Radio: Brain-Empowered Wireless Communications",
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2, pp. 201-220, 2005.
[6] Y-W. Hong, W-J. Huang, F-H. Chiu, etc., "Cooperative Communications
in Resource-Constrained Wireless Networks", IEEE Signal Processing
Magazine, vol. 24, no. 3, pp. 47-57, May 2007.
[7] A. Bletsas, A. Lippman, and D.P. Reed, "A Simple Distributed Method
for Relay Selection in Cooperative Diversity Wireless Networks, Based
on Reciprocity and Channel Measurements, Proc. 61st IEEE Vehicular
Technology Conf. (VTC Spring -05), vol. 3, pp. 1484-1488, May 2005.
[8] A.K. Sadek, Z. Han, and K.J.R. Liu, "An Efficient Cooperation Protocol
to Extend Coverage Area in Cellular Networks," Proc. IEEE Wireless
Comm. and Networking Conf. (WCNC -06), vol. 3, pp. 1687-1692, Apr.
2006.
[9] A. Ibrahim, A.K. Sadek, W. Su, and K.J.R. Liu, "Relay Selection
in Multi-Node Cooperative Communications: When to Cooperate and
Whom to Cooperate With?" Proc. IEEE Global Telecomm. Conf.
(GLOBECOM -06), pp. 1-5, Nov. 2006.
[10] A. Ibrahim, A.K. Sadek, W. Su, and K.J.R. Liu, "Cooperative Communications
with Relay Selection: When to Cooperate and Whom to
Cooperate with?" IEEE Trans. Wireless Comm., vol. 7, no. 7, pp. 2814-
2827, July 2008.
[11] B. Wang, Z. Han, and K.J.R. Liu, "Distributed Relay Selection and
Power Control for Multiuser Cooperative Communication Networks
Using Stackelberg Game," Proc. IEEE Trans. Mobile Computing, vol.
8, no. 7, pp. 975-990, July 2009.
[12] X. Gong, W. Yuan, etc., "A Cooperative Relay Scheme for Secondary
Communication in Cognitive Radio Networks," Proc. IEEE Global
Telecomm. Conf. (GLOBECOM -08), pp. 1-5, Nov. 2008.
[13] J. Jia, J. Zhang, and Q. Zhang, "Cooperative for Cognitive Radio
Networks," Proc. IEEE INFOCOM -09, pp. 544-552, May 2009.
[14] D. Fudenberg, and D. K. Levine, "A simple adaptive procedure leading
to correlated equilibrium," Econometrica, vol.68, no.5, pp.1127-1150,
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[15] S. Hart and A. Mas-Colell, "A reinforcement procedure leading to
correlated equilibrium," in Economic Essays, pp.181-200, Springer,
2001.
[1] D. Cabric, I.D. O-Donnell, M.S.-W. Chen, and R.W. Brodersen, Spectrum
sharing radios, IEEE Circuits and Systems Magazine, Vol. 6, Issue
2, pp. 30-45, 2006.
[2] N. Devroye, P. Mitran, V. Tarokh, Limits on communications in a
cognitive radio channel, IEEE Communications Magazine, Vol. 44, Issue
6, pp. 44-49, June 2006.
[3] I.F. Akyildiz, W.Y. Lee, M.C. Vuran, and S. Mohanty, NeXt generation/
dynamic spectrum access/cognitive radio wireless networks: a
survey, Computer Networks, Vol. 50, Issue 13, pp. 2127-2159, Sept. 15,
2006.
[4] J. Mitola III et al, "Cognitive Radios: Making Software Radios more
Personal", IEEE Personal Communications, Vol. 6, No. 4, pp.13-18,
1999.
[5] S. Haykin, "Cognitive Radio: Brain-Empowered Wireless Communications",
IEEE Journal Selected Areas in Communications, Vol. 23, No.
2, pp. 201-220, 2005.
[6] Y-W. Hong, W-J. Huang, F-H. Chiu, etc., "Cooperative Communications
in Resource-Constrained Wireless Networks", IEEE Signal Processing
Magazine, vol. 24, no. 3, pp. 47-57, May 2007.
[7] A. Bletsas, A. Lippman, and D.P. Reed, "A Simple Distributed Method
for Relay Selection in Cooperative Diversity Wireless Networks, Based
on Reciprocity and Channel Measurements, Proc. 61st IEEE Vehicular
Technology Conf. (VTC Spring -05), vol. 3, pp. 1484-1488, May 2005.
[8] A.K. Sadek, Z. Han, and K.J.R. Liu, "An Efficient Cooperation Protocol
to Extend Coverage Area in Cellular Networks," Proc. IEEE Wireless
Comm. and Networking Conf. (WCNC -06), vol. 3, pp. 1687-1692, Apr.
2006.
[9] A. Ibrahim, A.K. Sadek, W. Su, and K.J.R. Liu, "Relay Selection
in Multi-Node Cooperative Communications: When to Cooperate and
Whom to Cooperate With?" Proc. IEEE Global Telecomm. Conf.
(GLOBECOM -06), pp. 1-5, Nov. 2006.
[10] A. Ibrahim, A.K. Sadek, W. Su, and K.J.R. Liu, "Cooperative Communications
with Relay Selection: When to Cooperate and Whom to
Cooperate with?" IEEE Trans. Wireless Comm., vol. 7, no. 7, pp. 2814-
2827, July 2008.
[11] B. Wang, Z. Han, and K.J.R. Liu, "Distributed Relay Selection and
Power Control for Multiuser Cooperative Communication Networks
Using Stackelberg Game," Proc. IEEE Trans. Mobile Computing, vol.
8, no. 7, pp. 975-990, July 2009.
[12] X. Gong, W. Yuan, etc., "A Cooperative Relay Scheme for Secondary
Communication in Cognitive Radio Networks," Proc. IEEE Global
Telecomm. Conf. (GLOBECOM -08), pp. 1-5, Nov. 2008.
[13] J. Jia, J. Zhang, and Q. Zhang, "Cooperative for Cognitive Radio
Networks," Proc. IEEE INFOCOM -09, pp. 544-552, May 2009.
[14] D. Fudenberg, and D. K. Levine, "A simple adaptive procedure leading
to correlated equilibrium," Econometrica, vol.68, no.5, pp.1127-1150,
2000.
[15] S. Hart and A. Mas-Colell, "A reinforcement procedure leading to
correlated equilibrium," in Economic Essays, pp.181-200, Springer,
2001.
@article{"International Journal of Electrical, Electronic and Communication Sciences:55100", author = "Hao He and Shaoqian Li", title = "Distributed Relay Selection and Channel Choice in Cognitive Radio Network", abstract = "In this paper, we study the cooperative communications where multiple cognitive radio (CR) transmit-receive pairs competitive maximize their own throughputs. In CR networks, the influences of primary users and the spectrum availability are usually different among CR users. Due to the existence of multiple relay nodes and the different spectrum availability, each CR transmit-receive pair should not only select the relay node but also choose the appropriate channel. For this distributed problem, we propose a game theoretic framework to formulate this problem and we apply a regret-matching learning algorithm which is leading to correlated equilibrium. We further formulate a modified regret-matching learning algorithm which is fully distributed and only use the local information of each CR transmit-receive pair. This modified algorithm is more practical and suitable for the cooperative communications in CR network. Simulation results show the algorithm convergence and the modified learning algorithm can achieve comparable performance to the original regretmatching learning algorithm.
", keywords = "cognitive radio, cooperative communication, relay selection, channel choice, regret-matching learning, correlated equilibrium.", volume = "4", number = "1", pages = "117-5", }
