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Issue No.07 - July (2010 vol.59)
pp: 865-877
Dusit Niyato , Nanyang Technological University, Singapore
Ekram Hossain , University of Manitoba, Winnipeg, Canada
ABSTRACT
We consider the problem of hierarchical bandwidth sharing in dynamic spectrum access (or cognitive radio) environment. In the system model under consideration, licensed service (i.e., primary service) can share/sell its available bandwidth to an unlicensed service (i.e., secondary service), and again, this unlicensed service can share/sell its allocated bandwidth to other services (i.e., tertiary and quaternary services). We formulate the problem of hierarchical bandwidth sharing as an interrelated market model used in microeconomics for which a multiple-level market is established among the primary, secondary, tertiary, and quaternary services. We use the concept of demand and supply functions to obtain the equilibrium at which all the services are satisfied with the amount of allocated bandwidth and the price. These demand and supply functions are derived based on the utility of the connections using the different services (i.e., primary, secondary, tertiary, and quaternary services). For distributed implementation of the hierarchical bandwidth sharing model in a system in which global information is not available, iterative algorithms are proposed through which each service adapts its strategies to reach the equilibrium. The system stability condition is analyzed for these algorithms. Finally, we demonstrate the application of the proposed model to achieve dynamic bandwidth sharing in an integrated WiFi-WiMAX network.
INDEX TERMS
Dynamic spectrum/bandwidth sharing, cognitive radio, demand and supply functions, equilibrium, local stability analysis, IEEE 802.16/WiMAX, WiFi networks.
CITATION
Dusit Niyato, Ekram Hossain, "A Microeconomic Model for Hierarchical Bandwidth Sharing in Dynamic Spectrum Access Networks", IEEE Transactions on Computers, vol.59, no. 7, pp. 865-877, July 2010, doi:10.1109/TC.2010.79
REFERENCES
[1] F.V. Waugh, "Cobweb Model," J. Farm Economics, vol. 46, no. 4, pp. 732-750, 1964.
[2] H.R. Karimi, L.T.W. Ho, H. Claussen, and L.G. Samuel, "Evolution towards Dynamic Spectrum Sharing in Mobile Communications," Proc. IEEE Int'l Symp. Personal, Indoor and Mobile Radio Comm. (PIMRC), Sept. 2006.
[3] J.M. Peha, "Approaches to Spectrum Sharing," IEEE Comm. Magazine, vol. 43, no. 2, pp. 10-12, Feb. 2005.
[4] M. Pan, S. Liang, H. Xiong, J. Chen, and G. Li, "A Novel Bargaining Based Dynamic Spectrum Management Scheme in Reconfigurable Systems," Proc. IEEE Int'l Conf. Systems and Networks Comm. (ICSNC), p. 54, Oct. 2006.
[5] K.-L.A. Yau, P. Komisarczuk, and P.D. Teal, "A Context-Aware and Intelligent Dynamic Channel Selection Scheme for Cognitive Radio Networks," Proc. IEEE Int'l Conf. Cognitive Radio Oriented Wireless Networks and Comm. (CROWNCOM), pp. 1-6, June 2009.
[6] H.-P. Shiang and M. van der Schaar, "Distributed Resource Management in Multihop Cognitive Radio Networks for Delay-Sensitive Transmission," IEEE Trans. Vehicular Technology, vol. 58, no. 2, pp. 941-953, Feb. 2009.
[7] Y. Zhang and C. Leung, "Resource Allocation in an OFDM-Based Cognitive Radio System," IEEE Trans. Comm., vol. 57, no. 7 pp. 1928-1931, July 2009.
[8] H. Mutlu, M. Alanyali, and D. Starobinski, "Spot Pricing of Secondary Spectrum Access in Wireless Cellular Networks," IEEE/ACM Trans. Networking, vol. 17, no. 6, pp. 1794-1804, Dec. 2009.
[9] R.K. Lam, J.C.S. Lui, and D.-M. Chiu, "On the Access Pricing Issues of Wireless Mesh Networks," Proc. IEEE Int'l Conf. Distributed Computing Systems (ICDCS), p. 61, July 2006.
[10] M.K. Pereirasamy, J. Luo, M. Dillinger, and C. Hartmann, "Dynamic Inter-Operator Spectrum Sharing for UMTS FDD with Displaced Cellular Networks," Proc. IEEE Wireless Comm. and Networking Conf. (WCNC), vol. 3, pp. 1720-1725, Mar. 2005.
[11] C. Kloeck, H. Jaekel, and F.K. Jondral, "Dynamic and Local Combined Pricing, Allocation and Billing System with Cognitive Radios," Proc. IEEE Int'l Symp. New Frontiers in Dynamic Spectrum Access Networks (DySPAN), pp. 73-81, Nov. 2005.
[12] T. Irnich and B. Walke, "Spectrum Estimation Methodology for Next Generation Wireless Systems," Proc. IEEE Int'l Symp. Personal, Indoor and Mobile Radio Comm. (PIMRC), vol. 3, pp. 1957-1962, Sept. 2004.
[13] L. Badia, S. Merlin, A. Zanella, and M. Zorzi, "Pricing VoWLAN Services through a Micro-Economic Framework," IEEE Wireless Comm., vol. 13, no. 1, pp. 6-13, Feb. 2006.
[14] S. Gandhi, C. Buragohain, L. Cao, H. Zheng, and S. Suri, "A General Framework for Wireless Spectrum Auctions," Proc. IEEE Int'l Symp. New Frontiers in Dynamic Spectrum Access Networks (DySPAN), pp. 22-33, Apr. 2007.
[15] W.A. McEachern, Microeconomics: A Contemporary Introduction. South-Western College Publisher, 2005.
[16] M.T. Holt and L.A. Craig, "Nonlinear Dynamics and Structural Change in the U.S. Hogcorn Cycle: A Time-Varying STAR Approach," Am. J. Agricultural Economics, vol. 88, no. 1, pp. 215-233, Feb. 2006.
[17] A. Tang, J. Wang, and S.H. Low, "Counter-Intuitive Throughput Behaviors in Networks under End-to-End Control," IEEE/ACM Trans. Networking, vol. 14, no. 2, pp. 355-368, Apr. 2006.
[18] J.K. Goeree and C.H. Hommes, "Heterogeneous Beliefs and the Non-Linear Cobweb Model," J. Economic Dynamics and Control, vol. 24, nos. 5-7, pp. 761-798, June 2000.
[19] Z. Bacsi, "Modelling Chaotic Behaviour in Agricultural Prices Using a Discrete Deterministic Nonlinear Price Model," Agricultural Systems, vol. 55, no. 3, pp. 445-459, Nov. 1997.
[20] J.L. McCauley, An Introduction to Nonlinear Dynamics and Chaos Theory. Royal Swedish Academy of Sciences, 1988.
[21] IEEE 802.16 Standard—Local and Metropolitan Area Networks— Part 16, IEEE Std 802.16a-2003, 2003.
[22] D. Niyato and E. Hossain, "A Queuing-Theoretic and Optimization-Based Model for Radio Resource Management in IEEE 802.16 Broadband Wireless Networks," IEEE Trans. Computers, vol. 55, no. 11, pp. 1473-1488, Nov. 2006.
[23] Q. Liu, S. Zhou, and G.B. Giannakis, "Queuing with Adaptive Modulation and Coding over Wireless Links: Cross-Layer Analysis and Design," IEEE Trans. Wireless Comm., vol. 4, no. 3, pp. 1142-1153, May 2005.
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