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

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

1
Department of Computer Science and Engineering, University of Dhaka, Dhaka 1000, Bangladesh
2
College of Computer and Information Sciences, King Saud University, Riyadh 11543, Saudi Arabia
3
Department of Computer Science and Engineering, Kyung Hee University, Gyeonggi-do 17104, Korea
4
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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Abstract

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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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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