scholarly journals A Novel Binary Slime Mould Algorithm with AU Strategy for Cognitive Radio Spectrum Allocation

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Ling Li ◽  
Tien-Szu Pan ◽  
Xiao-Xue Sun ◽  
Shu-Chuan Chu ◽  
Jeng-Shyang Pan
Keyword(s):  
Cognitive Radio ◽  
Radio Spectrum ◽  
Spectrum Allocation ◽  
The Novel ◽  
Allocation Scheme ◽  
Network Resources ◽  
Allocation Model ◽  
Slime Mould ◽  
Radio Technology ◽  
Cognitive Radio Technology

AbstractSpectrum has now become a scarce resource due to the continuous development of wireless communication technology. Cognitive radio technology is considered to be a new method to solve the shortage of spectrum resources. The spectrum allocation model of cognitive radio can effectively avoid the waste of spectrum resources. A novel binary version of slime mould algorithm is proposed for the spectrum allocation model to solve the spectrum allocation scheme. In addition, adding unselected factors strategy can make the approach find a better solution. Compared with other algorithms, the novel binary slime mould algorithm and the strategy of adding unselected factors proposed in this paper have a good performance in spectrum allocation. The resulting spectrum allocation scheme can achieve efficient use of network resources.

scholarly journals Machine Learning Implementation in Cognitive Radio Networks with Game-Theory Technique

2020 ◽  
Vol 2 (2) ◽  
pp. 68-75
Author(s):  
Dr. Jennifer S. Raj
Keyword(s):  
Game Theory ◽  
Cognitive Radio ◽  
Radio Networks ◽  
Spectrum Utilization ◽  
Queuing Model ◽  
Allocation Model ◽  
Preemptive Resume Priority ◽  
Radio Technology ◽  
Cognitive Radio Technology ◽  
Theory Technique

Significant enhancement of spectrum utilization can be performed by means of Cognitive Radio technology. A game theory based Cognitive Radio Network with Dynamic Spectrum Allocation model is proposed in this paper. M|M|1 queuing model is implemented along with Preemptive Resume Priority for accommodation of all the cases. An Incremental Weights-Decremental Ratios (IW-DR) algorithm based on priority-based scheduling is used for supplementing this theory. Regression models are used for restructuring and improving the efficiency of the system.

scholarly journals Spectrum Sensing Techniques in Cognitive Radio Technology: A Review Paper

2020 ◽  
pp. 577-582
Author(s):  
Srinivas Samala ◽  
◽  
Subhashree Mishra ◽  
Sudhansu Sekhar Singh
Keyword(s):  
Cognitive Radio ◽  
Wireless Communication ◽  
Spectrum Sensing ◽  
Rapid Growth ◽  
Review Paper ◽  
Radio Spectrum ◽  
Cognitive Technology ◽  
The Past ◽  
Radio Technology ◽  
Cognitive Radio Technology

Over the past decade, Rapid growth in the field of wireless communication has increased demand for spectrum resources and created a shortage of available radio spectrum. The cognitive radio technology is one of the promising technology to address the scarcity of spectrum resources, from the introduction of cognitive technology there is a lot of research is going on its spectrum sensing techniques, this paper aimed to provide an in-depth review on recent advances in spectrum sensing techniques and thoroughly presents the merit, demerits, and scope of further research of each spectrum sensing techniques. Finally, this review paper is presented to help new researchers and to make them familiar with concepts of spectrum sensing.

scholarly journals Cognitive Radio Spectrum Sensing Mechanisms in TV White Spaces: A Survey

2018 ◽  
Vol 8 (6) ◽  
pp. 3673-3680
Author(s):  
K. Kimani ◽  
M. Njiraine
Keyword(s):  
Cognitive Radio ◽  
Spectrum Sensing ◽  
Spectrum Sharing ◽  
Limited Resource ◽  
Radio Spectrum ◽  
Spectrum Utilization ◽  
Transmission Parameters ◽  
Wireless Users ◽  
Radio Technology ◽  
Cognitive Radio Technology

Frequency spectrum is a limited resource and the increasing demand caused by emerging services, augmented number of wireless users along with the demand for high-quality multimedia applications have resulted in the overcrowding of the allocated spectrum bands. The overcrowding of spectrum bands has exacerbated by the current spectrum licensing policy which has emerged as a bottleneck to efficient spectrum utilization, due to its inflexibility, resulting in most of the licensed spectrum being severely under-utilized. However, the problem of scarcity of spectrum bands and the inefficient utilization of the already allocated radio spectrum can be smartly addressed through spectrum sharing by enabling opportunistic usage of the underutilized frequency bands. One of the most exciting ways of spectrum sharing is cognitive radio technology which allows a wireless node to sense the environment, detect the network changes, and then make intelligent decisions by dynamically changing its reception or transmission parameters to communicate while ensuring that no interference is affected to the licensed users. It thus improves the spectrum utilization by reusing the unused or underutilized spectrum owned by the incumbent systems (primary systems). In this paper, a comprehensive survey and review of recent research about the advances in cognitive radio technology will be carried out. We will also evaluate the various spectrum sensing techniques in a cognitive radio network in the UHF/VHF bands allocated for TV broadcasting.

Application and Research of Routing Protocol Based on AODV in Cognitive Radio

2013 ◽  
Vol 336-338 ◽  
pp. 1776-1780 ◽  
Author(s):  
Yi Xian Chen
Keyword(s):  
Cognitive Radio ◽  
Routing Protocol ◽  
Data Transmission ◽  
Rapid Development ◽  
Radio Spectrum ◽  
Cross Layer ◽  
Spectral Integration ◽  
Depth Analysis ◽  
Radio Technology ◽  
Cognitive Radio Technology

With the rapid development of science and technology, the current spectrum resources can not simply cope with the high-load wireless networks transmission. In addition, because the use of spectrum resources can not be fully maximize the overload load phenomenon, which leads to the waste of resources and loss of the spectrum, the existing overall spectrum resources are not adequate utilization and its utilization can not be improved. Obviously, in order to meet the growing demand for Internet and wireless communications, we must address the low rate of utilization of spectrum resources To this end, it is proposed to use the spectrum resources in cognitive radio drainage techniques, cognitive radio node to perceive the change of radio spectrum resources, and thus connected in the most appropriate timing and spectral integration, the effect of radio data transmission, and adequately addressed the problem of the spectrum resource low utilization. This thesis is based on the in-depth analysis of cognitive radio technology to understand the routing protocol in wireless cross-layer data transmission, and then discuss the relevant characteristics of the AODV routing protocol, and base on the AODV, the routing protocol uses in the analysis of the radio network organization based on the proposed to the possibility of cognitive radio.

scholarly journals A Centralized Model Enabling Channel Reuse for Spectrum Allocation in Cognitive Radio Networks

2021 ◽  
Vol 21 (2) ◽  
pp. 183-200
Author(s):  
Monisha Devi ◽  
Nityananda Sarma ◽  
Sanjib K. Deka
Keyword(s):  
Cognitive Radio ◽  
Radio Spectrum ◽  
Spectrum Allocation ◽  
Advanced Technology ◽  
Fair Allocation ◽  
Spectrum Utilization ◽  
Allocation Mechanism ◽  
Allocation Model ◽  
Allocation Process ◽  
Centralized Model

Abstract Cognitive Radio (CR) is an advanced technology, which intends to boost the radio spectrum utilization. On perceiving the spectrum holes, next there is a need to provide a fair distribution of the vacant licensed channels amongst Secondary Users (SUs) during the spectrum allocation process. In this context, our paper introduces two allocation models to resolve the spectrum allocation problem. Initially, we design a simple centralized model to assign the channels. Then, we extend it to a centralized fair allocation model that aims to impart a better utilization of the free channels. Both approaches assign a common channel to a group of non-interfering SUs simultaneously. This facilitates spectrum reuse. The constraint related to dynamics in spectrum opportunities in CR is handled during channel allocation. Simulation study analyzes the proposed approaches with an existing allocation mechanism and reveals the performance improvement of centralized fair allocation model in terms of spectrum utilization.

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.

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