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Sensors 2017, 17(12), 2838; doi:10.3390/s17122838

Self-Coexistence among IEEE 802.22 Networks: Distributed Allocation of Power and Channel

Department of Computer Science and Engineering, University of Dhaka, Dhaka 1000, Bangladesh
College of Computer and Information Sciences, King Saud University, Riyadh 11543, Saudi Arabia
Department of Computer Science and Engineering, Kyung Hee University, Gyeonggi-do 17104, Korea
Department of Informatics, Modeling, Electronics, and Systems, University of Calabria, 87036 Arcavacata, Italy
Author to whom correspondence should be addressed.
Received: 15 October 2017 / Revised: 2 December 2017 / Accepted: 4 December 2017 / Published: 7 December 2017
(This article belongs to the Special Issue Smart Communication Protocols and Algorithms for Sensor Networks)
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Ensuring self-coexistence among IEEE 802.22 networks is a challenging problem owing to opportunistic access of incumbent-free radio resources by users in co-located networks. In this study, we propose a fully-distributed non-cooperative approach to ensure self-coexistence in downlink channels of IEEE 802.22 networks. We formulate the self-coexistence problem as a mixed-integer non-linear optimization problem for maximizing the network data rate, which is an NP-hard one. This work explores a sub-optimal solution by dividing the optimization problem into downlink channel allocation and power assignment sub-problems. Considering fairness, quality of service and minimum interference for customer-premises-equipment, we also develop a greedy algorithm for channel allocation and a non-cooperative game-theoretic framework for near-optimal power allocation. The base stations of networks are treated as players in a game, where they try to increase spectrum utilization by controlling power and reaching a Nash equilibrium point. We further develop a utility function for the game to increase the data rate by minimizing the transmission power and, subsequently, the interference from neighboring networks. A theoretical proof of the uniqueness and existence of the Nash equilibrium has been presented. Performance improvements in terms of data-rate with a degree of fairness compared to a cooperative branch-and-bound-based algorithm and a non-cooperative greedy approach have been shown through simulation studies. View Full-Text
Keywords: IEEE 802.22; cognitive radio; WRAN; OFDMA; game theory; Nash equilibrium; non-linear optimization; distributed algorithm IEEE 802.22; cognitive radio; WRAN; OFDMA; game theory; Nash equilibrium; non-linear optimization; distributed algorithm

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Sakin, S.A.; Razzaque, M.A.; Hassan, M.M.; Alamri, A.; Tran, N.H.; Fortino, G. Self-Coexistence among IEEE 802.22 Networks: Distributed Allocation of Power and Channel. Sensors 2017, 17, 2838.

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