scholarly journals Throughput in cooperative wireless networks

2020 ◽  
Vol 9 (2) ◽  
pp. 698-706
Author(s):  
Diego Armando Giral Ramirez ◽  
Cesar Hernandez ◽  
Fredy Martinez
Keyword(s):  
Radio Networks ◽  
Cognitive Networks ◽  
Multi Criteria Decision Making ◽  
Secondary Users ◽  
Cooperative Wireless Networks ◽  
Spectrum Scarcity ◽  
Four Levels ◽  
Quality Of Service Parameters ◽  
The Comparative Study

Cognitive radio networks emerge as a solution to fixed allocation issues and spectrum scarcity through the dynamic access to spectrum. In cognitive networks, users must make intelligent decisions based on spectrum variation and actions taken by other users. Under this dynamic, cooperative systems can significantly improve quality of service parameters. This article presents the comparative study of the multi-criteria decision-making algorithms SAW and FFAHP through four levels of cooperation (10%, 20%, 50%, 80% y 100%) established between secondary users. The results show the performance evaluation obtained through of simulations and experimental measurements. The analysis is carried out based on throughput, depending on the class of service and the type of traffic.

QoS Maintenance in Cognitive Radio Networks with Priority-Supporting Novel Channel Allocation Method

2019 ◽  
Vol 15 (1) ◽  
pp. 1-16
Author(s):  
K. Annapurna ◽  
B. Seetha Ramanjaneyulu
Keyword(s):  
Cognitive Radio ◽  
Cognitive Radio Networks ◽  
Channel Allocation ◽  
Radio Networks ◽  
Secondary Users ◽  
Primary Users ◽  
Maximum Value ◽  
Blocking Probabilities ◽  
Bid Price

Satisfying the Quality of Service (QoS) is often a challenge in cognitive radio networks, because they depend on opportunistic channel accessing. In this context, appropriate pricing of vacant channels that is linked to the preference in their allocation, is found to be useful. However, ambiguity on the possible price at which the channel would be allotted is still a concern. In this work, an auction mechanism in which maximum value of the bid is predefined is proposed. With this, users quote their bid values as per their needs of getting the channels, up to the predefined maximum allowed bid price. However, final price of allocation is decided based on the sum total demand from all the users and the availability of vacant channels. Performance of the system is found in terms of blocking probabilities of secondary users and revenues to primary users. The proposed system is found to yield similar quantum of revenues as that of the Generalized Second Price (GSP) auction, while offering much lesser blocking probabilities to high-priority users to satisfy their QoS requirements.

scholarly journals A Survey onadvances in security threats and its counter measures in cognitive radio networks

2018 ◽  
Vol 7 (2.8) ◽  
pp. 372 ◽  
Author(s):  
D Ganesh ◽  
T Pavan Kumar
Keyword(s):  
Cognitive Radio ◽  
Cognitive Radio Networks ◽  
Dynamic Spectrum Access ◽  
Radio Networks ◽  
Cognitive Networks ◽  
Dynamic Spectrum ◽  
Future Research ◽  
Spectrum Utilization ◽  
Secondary Users ◽  
Open Problems

Cognitive radio is a promising wireless communication technology that improves spectrum utilization and offers many benefits for internet users. Cognitive radio networks utilizes the available limited resources in a more efficient and flexible way. The main objective of the Cognitive network is to efficiently utilize the unutilized spectrum and meet the demand of the secondary users. some of the important features of cognitive of Cognitive radio networks are dynamic spectrum access, self organizing  and flexibility. As Cognitive radio networks are flexible in nature, it will be effected by various security attacks which in turn affects the performance of the network. Furthermore Cognitive radio networks transmit the spectrum in several licensed bands and it also performs dynamic spectrum allocation. Cognitive radio and Cognitive radio networks are wireless in nature these face conventional attacks. In this survey we address various  attacks in different layers , new threats and challenges that Cognitive networks face, current available solutions to address layer attacks. In addition applications, open problems and future Research challenges are also specified.

Game-Based Control Mechanisms for Cognitive Radio Networks

2014 ◽  
pp. 352-400
Keyword(s):  
Cognitive Radio ◽  
Cognitive Radio Networks ◽  
Mobile Networks ◽  
Control Mechanism ◽  
Radio Networks ◽  
Control Mechanisms ◽  
Secondary Users ◽  
Important Research Topic ◽  
Management Architecture

Comprehensive control mechanism in cognitive radio networks is an important research topic within the scope of empowering cognitive radio functionality in beyond-4G mobile networks. Providing control mechanism for secondary users without interference with primary users is an ambitious task, which requires innovative management architecture designs and routing solutions. Operational challenges such as opportunistic spectrum access, solving problems related to spectrum and network heterogeneities, and requests for the provisioning of Quality-of-Service to different applications must be resolved. As part of a novel management architecture, the control mechanism advances a new approach for cognitive radio networks. We explore this in this chapter.

Game-Based Control Mechanisms for Cognitive Radio Networks

Game Theory ◽  
2017 ◽  
pp. 435-486
Author(s):  
Sungwook Kim
Keyword(s):  
Cognitive Radio ◽  
Cognitive Radio Networks ◽  
Mobile Networks ◽  
Control Mechanism ◽  
Radio Networks ◽  
Control Mechanisms ◽  
Secondary Users ◽  
Important Research Topic ◽  
Management Architecture

Comprehensive control mechanism in cognitive radio networks is an important research topic within the scope of empowering cognitive radio functionality in beyond-4G mobile networks. Providing control mechanism for secondary users without interference with primary users is an ambitious task, which requires innovative management architecture designs and routing solutions. Operational challenges such as opportunistic spectrum access, solving problems related to spectrum and network heterogeneities, and requests for the provisioning of Quality-of-Service to different applications must be resolved. As part of a novel management architecture, the control mechanism advances a new approach for cognitive radio networks. We explore this in this chapter.

scholarly journals Efficient Channel Allocation using Matching Theory for QoS Provisioning in Cognitive Radio Networks

Sensors ◽  
2020 ◽  
Vol 20 (7) ◽  
pp. 1872
Author(s):  
Muddasir Rahim ◽  
Ahmed S. Alfakeeh ◽  
Riaz Hussain ◽  
Muhammad Awais Javed ◽  
Atif Shakeel ◽  
...  
Keyword(s):  
Cognitive Radio ◽  
Objective Function ◽  
Cognitive Radio Networks ◽  
Radio Networks ◽  
Matching Theory ◽  
Objective Functions ◽  
Secondary Users ◽  
Weight Factors ◽  
The Impact

The focus of research efforts in cognitive radio networks (CRNs) has primarily remained confined to maximizing the utilization of the discovered resources. However, it is also important to enhance the user satisfaction in CRNs by finding a suitable match between the secondary users and the idle channels available from the primary network while taking into consideration not only the quality of service (QoS) requirements of the secondary users but the quality of the channels as well. In this work, the Gale Shapley matching theory was applied to find the best match, so that the most suitable channels from the available pool were allocated that satisfy the QoS requirements of the secondary users. Before applying matching theory, two objective functions were defined from the secondary user’s perspective as well as from the channel’s perspective. The objective function of secondary users is the weighted sum of the data rate of the secondary users and the probability of reappearance of the primary user on the channel. Whereas, the objective function of the channel is the maximum utilization of the channel. The weight factors included in the objective functions allow for diverse service classes of secondary users (SUs) or varying channel quality characteristics. The objective functions were used in developing the preference lists for the secondary users and the idle channels. The preference lists were then used by the Gale Shapely matching algorithm to determine the most suitably matched SU-channel pairs. The performance of the proposed scheme was evaluated using Monte–Carlo simulations. The results show significant improvement in the overall satisfaction of the secondary users with the proposed scheme in comparison to other contemporary techniques. Further, the impact of changing the weight factors in the objective functions on the secondary user’s satisfaction and channel utilization was also analyzed.

scholarly journals Joint Optimization of Interference and Cost in Cognitive Radio Heterogeneous Network Using Fuzzy Logic Powered Ants

2017 ◽  
Vol 2017 ◽  
pp. 1-11 ◽  
Author(s):  
Shahzad Latif ◽  
Suhail Akraam ◽  
Muhammad Aamer Saleem
Keyword(s):  
Cognitive Radio ◽  
Channel Assignment ◽  
Heterogeneous Network ◽  
Network Selection ◽  
Secondary Users ◽  
Spectrum Assignment ◽  
Wireless Applications ◽  
Spectrum Scarcity ◽  
Optimal Quality

The advent of emerging wireless technologies has increased the demand of spectrum resources. On the other hand, present spectrum assignment is fixed and underutilized. Cognitive radio (CR) provides good solution to spectrum scarcity problem to accommodate new wireless applications. The network selection is an important mechanism in cognitive radio heterogeneous network (CRHN) to provide optimal Quality of Service (QoS) to both Primary Users (PUs) and Secondary Users (SUs). The aim of this work is to provide optimal QoS to SUs by appropriate network selection and channel assignment. The proposed FLACSA selects the best network while maximizing the data rate and minimizing the interference and cost simultaneously. Simulation results show the attractive performance of our proposed algorithm.

scholarly journals Throughput-Delay Trade-Off for Cognitive Radio Networks: A Convex Optimization Perspective

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Hang Hu ◽  
Hang Zhang ◽  
Hong Yu
Keyword(s):  
Convex Optimization ◽  
Essential Role ◽  
Cooperative Spectrum Sensing ◽  
Radio Networks ◽  
Final Decision ◽  
Decision Threshold ◽  
Secondary Users ◽  
Trade Off ◽  
Simulation Results

The throughput-delay trade-off problem for cooperative spectrum sensing (CSS) is investigated. It is proved that the maximum achievable throughput and the minimum transmission delay cannot be obtained simultaneously. An efficient algorithm is proposed to optimize the sensing bandwidth and the final decision threshold jointly such that the throughput is maximized while the delay is constrained. It is demonstrated that convex optimization plays an essential role in solving the problem in an efficient way. Simulation results show that the proposed optimal scheme can significantly improve the throughput of the secondary users (SUs) under the constraint that the delay Quality of Service (QoS) requirements of the SUs are satisfied.

Queueing Analysis of Spectrum Trading for Wireless Cognitive Radio Networks

2012 ◽  
Vol 490-495 ◽  
pp. 932-936
Author(s):  
Li Xia Liu ◽  
Gang Hu ◽  
Zhen Huang ◽  
Yu Xing Peng
Keyword(s):  
Queueing Theory ◽  
Spectrum Sharing ◽  
Radio Networks ◽  
Spectrum Trading ◽  
Secondary Users ◽  
Economic Method ◽  
Important Approach ◽  
Trading Model ◽  
The Relationship

Spectrum trading is an important approach for the secondary users (SU, the unlicensed user) to share the spectrum resource with the primary users (PU, the licensed user). Such economic method can improve not only the efficiency but also the quality of spectrum sharing. For getting the most profit from the spectrum trading, we considered a spectrum trading model based on queueing theory. We analyzed the relationship between the spectrum server and the spectrum demander and discussed the problem of server uncertainty. Simulation results demonstrated the analysis results in terms of the idle probability and average queue size.

scholarly journals Review and Comparison of Routing Metrics in Cognitive Radio Networks

2018 ◽  
Vol 2 (4) ◽  
Author(s):  
Alaleh Asghary Astaneh ◽  
Solmaz Gheisari
Keyword(s):  
Cognitive Radio ◽  
Cognitive Radio Networks ◽  
Cognitive Radio Network ◽  
Radio Networks ◽  
Dynamic Spectrum ◽  
Radio Network ◽  
Routing Metrics ◽  
Secondary Users ◽  
Minimum Requirements

In this paper, cognitive radio network is briefly introduced as well as routing parameters in cognitive radio networks. Due to lack of Spectrum, using not efficient methods of allocating static spectrum, in cognitive radio networks dynamic accessing spectrum is functional. Utilizing opportunistic a Spectrum requires recognition of routing parameters and metrics in cognition radio networks, which means considering fulfilling the minimum requirements of quality of service (QOS) secondary users need to use the allowed range of primary (main) users. Since primary users are prior to use the spectrum, when primary and secondary users coexist, they need to monitor the bandwidth of the authorized spectrum. One of the most important stages to excess the dynamic spectrum is to explore it. Detection of the presence of the authorized users by unauthorized users is one of the things done in this stage, which is called spectroscopy. In the next stage, we used the analyzed information I was spectroscopy, to decide on accessing the spectrum. cognition radio is defined as a smart wireless communication system, which is aware of the environment and changes its job variables like power forward, type of modulation, carrier frequency etc. using environment learning. For further explaining routing metrics, we try to compare routing metrics in cognitive radio networks and wireless network and analyze its challenges in one-way routing and in multi-route routing.

Demand of Wireless Network and Security in Current Research

2015 ◽  
Vol 14 (6) ◽  
pp. 5809-5813
Author(s):  
Abhishek Prabhakar ◽  
Amod Tiwari ◽  
Vinay Kumar Pathak
Keyword(s):  
Wireless Networks ◽  
Quality Of Service ◽  
Wireless Network ◽  
Network Performance ◽  
Wireless Security ◽  
Human Intervention ◽  
Unauthorized Access ◽  
Quality Of Service Parameters ◽  
Wireless Infrastructure

Wireless security is the prevention of unauthorized access to computers using wireless networks .The trends in wireless networks over the last few years is same as growth of internet. Wireless networks have reduced the human intervention for accessing data at various sites .It is achieved by replacing wired infrastructure with wireless infrastructure. Some of the key challenges in wireless networks are Signal weakening, movement, increase data rate, minimizing size and cost, security of user and QoS (Quality of service) parameters... The goal of this paper is to minimize challenges that are in way of our understanding of wireless network and wireless network performance.

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