ABSTRACT
With the development of cognitive radio technologies, dynamic spectrum access becomes a promising approach to increase the efficiency of spectrum utilization and solve spectrum scarcity problem. Under dynamic spectrum access, unlicensed wireless users (secondary users) can dynamically access the licensed bands from legacy spectrum holders (primary users) on an opportunistic basis. While most primary users in existing works assume secondary transmissions as negative interference and don't actively involve them into the primary transmission, in this paper, motivated by the idea of cooperative communication, we propose a cooperative cognitive radio framework, where primary users, aware of the existence of secondary users, may select some of them to be the cooperative relay, and in return lease portion of the channel access time to them for their own data transmission. Secondary users cooperating with primary transmissions have the right to decide their payment made for primary user in order to achieve a proportional access time to the wireless media. Both primary and secondary users target at maximizing their utilities in terms of their transmission rate and revenue/payment. This model is formulated as a Stackelberg game and a unique Nash Equilibrium point is achieved in analytical format. Based on the analysis we discuss the condition under which cooperation will increase the performance of the whole system. Both analytical result and numerical result show that the cooperative cognitive radio framework is a promising framework under which the utility of both primary and secondary system are maximized.
- I.M.A. Goldsmith, S.A. Jafar and S. Srinivasa. Breaking spectrum gridlock with cognitive radios: An information theoretic perspective. Proceedings of the IEEE, invited, to appear 2008.Google Scholar
- G. Debreu. A social equilibrium existence theorem. Proc. Nat. Acad. Science, 38.Google Scholar
- N. Devroye, P. Mitran, and V. Tarokh. Achievable rates in cognitive radio channels. Information Theory, IEEE Transactions on, 52(5):1813--1827, May 2006. Google ScholarDigital Library
- Z. Han, Z. Ji, and K. Liu. Fair multiuser channel allocation for ofdma networks using nash bargaining solutions and coalitions. Communications, IEEE Transactions on, 53(8):1366--1376, Aug. 2005.Google ScholarCross Ref
- J. Huang, R. Berry, and M. Honig. Auction-based spectrum sharing. Mobile Networks and Applications, 11(3):405--408, June 2006. Google ScholarDigital Library
- Z. Ji and K. Liu. Cognitive radios for dynamic spectrum access -- dynamic spectrum sharing: A game theoretical overview. Communications Magazine, IEEE, 45(5):88--94, May 2007. Google ScholarDigital Library
- J. Jiang and Y. Xin. On the achievable rate regions for interference channels with degraded message sets. Information Theory, IEEE Transactions on, 54(10):4707--4712, Oct. 2008. Google ScholarDigital Library
- P.J. Kolodzy. Cognitive radio fundamentals. SDR Forum, Singapore, April.Google Scholar
- H. Lin, M. Chatterjee, S.K. Das, and K. Basu. Arc: An integrated admission and rate control framework for competitive wireless cdma data networks using noncooperative games. IEEE Transactions on Mobile Computing, 4(3):243--258, 2005. Google ScholarDigital Library
- I. Maric, R. Yates, and G. Kramer. Capacity of interference channels with partial transmitter cooperation. Information Theory, IEEE Transactions on, 53(10):3536--3548, Oct. 2007. Google ScholarDigital Library
- G.R. Neel J, Reed JH. The role of game theory in the analysis of software radio networks. SDR forum technical conference, San Diego, California, Nov.Google Scholar
- G. Owen. Game Theory. Academic Press, 2005.Google Scholar
- O. Simeone, I. Stanojev, S. Savazzi, Y. Bar-Ness, U. Spagnolini, and R. Pickholtz. Spectrum leasing to cooperating secondary ad hoc networks. Selected Areas in Communications, IEEE Journal on, 26(1):203--213, Jan. 2008. Google ScholarDigital Library
- G. Stamoulis, D. Kalopsikakis, and A. Kyrikoglou. Efficient agent-based negotiation for telecommunications services. Global Telecommunications Conference, 1999. GLOBECOM '99, 3:1989--1996 vol.3, 1999.Google ScholarCross Ref
- D.H. von Seggern. CRC Standard Curves and Surfaces with Mathematica, Second Edition (Chapman & Hall/Crc Applied Mathematics and Nonlinear Science). Chapman & Hall/CRC, 2006. Google ScholarDigital Library
- R. Yates. A framework for uplink power control in cellular radio systems. Selected Areas in Communications, IEEE Journal on, 13(7):1341--1347, Sep 1995. Google ScholarDigital Library
Index Terms
- Stackelberg game for utility-based cooperative cognitiveradio networks
Recommendations
A Stackelberg Game for Spectrum Leasing in Cooperative Cognitive Radio Networks
According to the property-rights model of cognitive radio, primary users (PUs) who own the spectrum resource have the right to lease part of spectrum to secondary users (SUs) in exchange for appropriate profit. In this paper, we propose a pricing-based ...
Group-based management for cooperative spectrum sensing in cognitive radio networks
ICACT'10: Proceedings of the 12th international conference on Advanced communication technologyIn cognitive radio networks, secondary users can opportunistically utilize the unused spectrum holes that are originally licensed to primary users. Therefore, spectrum sensing for seeking unutilized spectrum is a key element to establish cognitive radio ...
Power allocation based on beamforming in cooperative cognitive radio networks with arbitrary number of secondary users
In this study, a new beamforming and power allocation method for cooperative cognitive radio (CR) networks is proposed. The proposed method can be deployed in systems with one primary user (PU) and arbitrary number of secondary users (SUs). By using ...
Comments