Membrane quantum particle swarm optimisation for cognitive radio spectrum allocation

2012 ◽  
Vol 43 (4) ◽  
pp. 359 ◽  
Author(s):  
Hongyuan Gao ◽  
Jinlong Cao ◽  
Yuning Zhao
Keyword(s):  
Cognitive Radio ◽  
Quantum Particle ◽  
Particle Swarm ◽  
Radio Spectrum ◽  
Spectrum Allocation ◽  
Particle Swarm Optimisation

scholarly journals Multi-Winner Spectrum Allocation in Cognitive Radio Networks: A Single-Sided Auction Theoretic Modelling Approach with Sequential Bidding

Electronics ◽  
2021 ◽  
Vol 10 (5) ◽  
pp. 602
Author(s):  
Monisha Devi ◽  
Nityananda Sarma ◽  
Sanjib K. Deka
Keyword(s):  
Cognitive Radio ◽  
Communication Networks ◽  
Spectrum Sharing ◽  
Single Channel ◽  
Group Formation ◽  
Radio Spectrum ◽  
Spectrum Allocation ◽  
Allocation Mechanism ◽  
Sealed Bid ◽  
Sequential Bidding

Cognitive radio (CR) has evolved as a novel technology for overcoming the spectrum-scarcity problem in wireless communication networks. With its opportunistic behaviour for improving the spectrum-usage efficiency, CR enables the desired secondary users (SUs) to dynamically utilize the idle spectrum owned by primary users. On sensing the spectrum to identify the idle frequency bands, proper spectrum-allocation mechanisms need to be designed to provide an effectual use of the radio resource. In this paper, we propose a single-sided sealed-bid sequential-bidding-based auction framework that extends the channel-reuse property in a spectrum-allocation mechanism to efficiently redistribute the unused channels. Existing auction designs primarily aim at maximizing the auctioneer’s revenue, due to which certain CR constraints remain excluded in their models. We address two such constraints, viz. the dynamics in spectrum opportunities and varying availability time of vacant channels, and formulate an allocation problem that maximizes the utilization of the radio spectrum. The auctioneer strategises winner determination based on bids collected from SUs and sequentially leases the unused channels, while restricting the channel assignment to a single-channel-multi-user allocation. To model the spectrum-sharing mechanism, we initially developed a group-formation algorithm that enables the members of a group to access a common channel. Furthermore, the spectrum-allocation and pricing algorithms are operated under constrained circumstances, which guarantees truthfulness in the model. An analysis of the simulation results and comparison with existing auction models revealed the effectiveness of the proposed approach in assigning the unexploited spectrum.

scholarly journals Spectrum Allocation of Cognitive Radio Based on Autonomy Evolutionary Algorithm

2016 ◽  
Vol 16 (4) ◽  
pp. 87-97 ◽  
Author(s):  
Yongcheng Li ◽  
Hai Shen ◽  
Manxi Wang
Keyword(s):  
Cognitive Radio ◽  
Cognitive Radio Network ◽  
Radio Spectrum ◽  
Theory Model ◽  
Spectrum Allocation ◽  
Radio Network ◽  
Objective Functions ◽  
Intelligent Algorithm ◽  
Evolutionary Scheme ◽  
System User

Abstract Reasonable and effective allocation of cognitive radio spectrum resource according to user’s requirements is the key task of cognitive radio network. Cognitive radio spectrum allocation problem can be viewed as an optimization problem. This paper analyzes the application of bio-inspired intelligent algorithm in cognitive radio network spectrum allocation, and based on graph theory model of spectrum allocation, proposesaspectrum allocation algorithm based on autonomously evolutionary scheme. Three objective functions: Max-Min-Reward, Max-Sum- Reward and Max-Proportional-Fair are employed to evaluate the proposed algorithm capacity. The simulation result reveals that the proposed method can make the system user to obtain better network benefits and better embody the fairness between cognitive users. In the process of allocation, the proposed method was not restricted by user scale and the number of spectrums.

scholarly journals Cognitive Radio Spectrum Allocation Strategy Based on Improved Genetic Algorithm

2013 ◽  
Vol 05 (03) ◽  
pp. 22-26 ◽  
Author(s):  
Bin Hou ◽  
Yunxiao Zu ◽  
Weihai Li ◽  
Gang Liu ◽  
Junjie Ding
Keyword(s):  
Genetic Algorithm ◽  
Cognitive Radio ◽  
Radio Spectrum ◽  
Spectrum Allocation ◽  
Allocation Strategy ◽  
Improved Genetic Algorithm
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