Towards near optimal network coding for secondary users in cognitive radio networks

2014 ◽  
Author(s):  
Yuben Qu ◽  
Chao Dong ◽  
Shaojie Tang ◽  
Chen Chen ◽  
Hai Wang ◽  
...  
Keyword(s):  
Cognitive Radio ◽  
Network Coding ◽  
Cognitive Radio Networks ◽  
Radio Networks ◽  
Secondary Users ◽  
Optimal Network

scholarly journals A Two-Dimensional Multiarmed Bandit Approach to Secondary Users with Network Coding in Cognitive Radio Networks

2015 ◽  
Vol 2015 ◽  
pp. 1-10 ◽  
Author(s):  
Yuben Qu ◽  
Chao Dong ◽  
Dawei Niu ◽  
Hai Wang ◽  
Chang Tian
Keyword(s):  
Cognitive Radio ◽  
Network Coding ◽  
Cognitive Radio Networks ◽  
Radio Networks ◽  
Two Dimensional ◽  
Throughput Performance ◽  
Secondary Users ◽  
Channel Quality ◽  
Throughput Optimality ◽  
Multiarmed Bandit

We study how to utilize network coding to improve the throughput of secondary users (SUs) in cognitive radio networks (CRNs) when the channel quality is unavailable at SUs. We use a two-dimensional multiarmed bandit (MAB) approach to solve the problem of SUs with network coding under unknown channel quality in CRNs. We analytically prove the asymptotical-throughput optimality of the proposed two-dimensional MAB algorithm. Simulation results show that our proposed algorithm achieves comparable throughput performance, compared to both the theoretical upper bound and the scheme assuming known channel quality information.

Opportunistic network coding for secondary users in cognitive radio networks

2017 ◽  
Vol 56 ◽  
pp. 186-201 ◽  
Author(s):  
Yuben Qu ◽  
Chao Dong ◽  
Shaojie Tang ◽  
Chen Chen ◽  
Haipeng Dai ◽  
...  
Keyword(s):  
Cognitive Radio ◽  
Network Coding ◽  
Cognitive Radio Networks ◽  
Radio Networks ◽  
Opportunistic Network ◽  
Secondary Users ◽  
Opportunistic Network Coding

A survey on network coding: From traditional wireless networks to emerging cognitive radio networks

2014 ◽  
Vol 46 ◽  
pp. 166-181 ◽  
Author(s):  
Muhammad Zubair Farooqi ◽  
Salma Malik Tabassum ◽  
Mubashir Husain Rehmani ◽  
Yasir Saleem
Keyword(s):  
Wireless Networks ◽  
Cognitive Radio ◽  
Network Coding ◽  
Cognitive Radio Networks ◽  
Radio Networks

Operating point selection for primary and secondary users in cognitive radio networks

2009 ◽  
Vol 53 (8) ◽  
pp. 1158-1170 ◽  
Author(s):  
Xavier Gelabert ◽  
Ian F. Akyildiz ◽  
Oriol Sallent ◽  
Ramon Agustí
Keyword(s):  
Cognitive Radio ◽  
Cognitive Radio Networks ◽  
Radio Networks ◽  
Operating Point ◽  
Point Selection ◽  
Secondary Users ◽  
Selection For ◽  
Primary And Secondary Users

Asynchronous Channel Allocation in Opportunistic Cognitive Radio Networks

2015 ◽  
pp. 388-426
Author(s):  
Sylwia Romaszko ◽  
Petri Mähönen
Keyword(s):  
Cognitive Radio ◽  
Cognitive Radio Networks ◽  
Channel Allocation ◽  
Optimal Solution ◽  
Radio Networks ◽  
Traffic Patterns ◽  
Spectrum Access ◽  
Secondary Users ◽  
Channel Parameters ◽  
Channel Service

In the case of Opportunistic Spectrum Access (OSA), unlicensed secondary users have only limited knowledge of channel parameters or other users' information. Spectral opportunities are asymmetric due to time and space varying channels. Owing to this inherent asymmetry and uncertainty of traffic patterns, secondary users can have trouble detecting properly the real usability of unoccupied channels and as a consequence visiting channels in such a way that they can communicate with each other in a bounded period of time. Therefore, the channel service quality, and the neighborhood discovery (NB) phase are fundamental and challenging due to the dynamics of cognitive radio networks. The authors provide an analysis of these challenges, controversies, and problems, and review the state-of-the-art literature. They show that, although recently there has been a proliferation of NB protocols, there is no optimal solution meeting all required expectations of CR users. In this chapter, the reader also finds possible solutions focusing on an asynchronous channel allocation covering a channel ranking.

Security for Cognitive Radio Networks

2012 ◽  
pp. 238-256 ◽  
Author(s):  
Rajni Dubey ◽  
Sanjeev Sharma ◽  
Lokesh Chouhan
Keyword(s):  
Cognitive Radio ◽  
Wireless Network ◽  
Cognitive Radio Networks ◽  
Reference Model ◽  
Development Stage ◽  
Radio Networks ◽  
Full Duplex ◽  
Secondary Users ◽  
Wireless Communication Network ◽  
Open Systems Interconnection

Most of the frequency spectrum bands have already been licensed, and the licensed spectrum is not being utilized efficiently. Cognitive Radio Networks (CRNs) are the kind of full duplex radio that automatically altered its transmission or reception parameters, in such a way that the entire wireless communication network of which it is a node communicates efficiently, while avoiding interference with primary or secondary users. In this chapter, the authors introduce the concept of security threats that may pose a serious attack in CRN. Due to the unique characteristics of CRN, such network is highly vulnerable to security attacks compared to wireless network or infrastructure-based wireless network. The main objective of this chapter is to assist CR designers and the CR application engineers to consider the security factors in the early development stage of CR techniques. Challenges and various security issues are explored with respect to OSI (Open Systems Interconnection) reference model. Various possible and attacks are discussed broadly and respective solutions are also proposed by this chapter. Different architectures and models are also explained, and compared with the existing models.

On the Use of Particle Swarm Optimization Techniques for Channel Assignments in Cognitive Radio Networks

2012 ◽  
pp. 202-214 ◽  
Author(s):  
Hisham M. Abdelsalam ◽  
Haitham S. Hamza ◽  
Abdoulraham M. Al-Shaar ◽  
Abdelbaset S. Hamza
Keyword(s):  
Cognitive Radio ◽  
Cognitive Radio Networks ◽  
Channel Assignment ◽  
Assignment Problem ◽  
Pso Algorithm ◽  
Radio Networks ◽  
Optimization Techniques ◽  
Secondary Users ◽  
Swarm Optimization ◽  
Channel Assignment Problem

Efficient utilization of open spectrum in cognitive radio networks requires appropriate allocation of idle spectrum frequency bands (not used by licensed users) among coexisting cognitive radios (secondary users) while minimizing interference among all users. This problem is referred to as the spectrum allocation or the channel assignment problem in cognitive radio networks, and is shown to be NP-hard. Accordingly, different optimization techniques based on evolutionary algorithms were needed in order to solve the channel assignment problem. This chapter investigates the use of particular swarm optimization (PSO) techniques to solve the channel assignment problem in cognitive radio networks. In particular, the authors study the definitiveness of using the native PSO algorithm and the Improved Binary PSO (IBPSO) algorithm to solve the assignment problem. In addition, the performance of these algorithms is compared to that of a fine-tuned genetic algorithm (GA) for this particular problem. Three utilization functions, namely, Mean-Reward, Max-Min-Reward, and Max-Proportional-Fair, are used to evaluate the effectiveness of three optimization algorithms. Extensive simulation results show that PSO and IBPSO algorithms outperform that fine-tuned GA. More interestingly, the native PSO algorithm outperforms both the GA and the IBPSO algorithms in terms of solution speed and quality.

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