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2019 | Book

Introduction Read chapter Read first chapter

Cooperative Spectrum Sensing and Resource Allocation Strategies in Cognitive Radio Networks

Authors: Xavier Fernando, Ajmery Sultana, Sattar Hussain, Lian Zhao

Publisher: Springer International Publishing

Book Series : SpringerBriefs in Electrical and Computer Engineering

Part of: Springer Professional "Wirtschaft+Technik" , Springer Professional "Technik" , Springer Professional "Wirtschaft"

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About this book

Cognitive radio networks (CRN) will be widely deployed in the near future, and this SpringerBrief covers some important aspects of it, as well as highlighting optimization strategies in Resource Allocation and Spectrum Sensing in CRNs. The cognitive approach in radio access is introduced in the first part of this SpringerBrief, and then next the benefits of cooperative spectrum sensing are highlighted and a framework for studying it under realistic channel conditions is described. New exact closed-form expressions for average false alarm probability and average detection probability are derived in this scenario. A novel approximation to alleviate the computational complexity of the proposed models are also discussed.

Once the spectrum opportunities are identified, efficient and systematic resource allocation (RA) shall be performed. The second part of this SpringerBrief describes the taxonomy for the RA process in CRN. A comprehensive overview of the optimization strategies of the CRN RA is also provided. The device-to-device (D2D) communication scenario is discussed, then as a case study and various optimization strategies for the application of the CR technology in the D2D realm is studied. The application of advanced geometric water-filling (GWF) approach in CRN D2D environment for optimum resource allocation is presented in detail. Numerical results provide more insight quantitatively. Overall, this book is suitable for a wide audience that include students, faculty and researchers in wireless communication area and professionals in the wireless service industry.

Table of Contents

Frontmatter
Chapter 1. Introduction
Abstract
Cognitive radio technology is emerging as an attractive solution to spectral congestion problem by enabling unlicensed (or secondary) users to coexist with licensed (or primary) users without harmful interference to the primary users who is entitled to use the frequency band.
Xavier Fernando, Ajmery Sultana, Sattar Hussain, Lian Zhao
Chapter 2. Relay-Based Cooperative Spectrum Sensing
Abstract
In this chapter, the detection accuracy of an AF relay-based CSS approach over non-identical Nakagami-m fading channel is investigated. New exact and approximated closed-form expressions are derived for the average detection probability and the average false alarm probability over two diversity combining techniques: MRC scheme and SC scheme. The convergence rate of infinite series that appears in the derived exact closed-form expressions are also investigated and proposed a powerful acceleration algorithm that allows for the series termination with a finite number of terms.
Xavier Fernando, Ajmery Sultana, Sattar Hussain, Lian Zhao
Chapter 3. Taxonomy for the Resource Allocation in CRNs
Abstract
In this chapter, a taxonomy for the resource allocation (RA) process in CRNs is provided. In particular, the RA problem is categorized first according to the adopted approach which could be centralized, or distributed. Second, based on the network architecture, the RA problem is also classified as infrastructure based or ad-hoc. Third, according to the problem objective, the basic elements of RA in CRNs may include: throughput (sum-rate), power, delay, QoS, fairness etc. Finally, the algorithms are also classified according to the strategy used for solving the problem which can be an optimization technique, heuristic, game theory, graph theory etc. Figure 3.1 provides the adopted taxonomy in detail.
Xavier Fernando, Ajmery Sultana, Sattar Hussain, Lian Zhao
Chapter 4. Resource Allocation in OFDM-Based Cognitive Radio Systems
Abstract
Resource allocation problem in OFDM based CRNs has been widely studied under different settings in the open literature. A power allocation grouping scheme based on the interference channel gain, pulse shape and frequency distance is presented in Hosseini and Falahati (Power allocation grouping scheme considering constraints in two separate stages for OFDM-based cognitive radio system. In: Proceedings of the IEEE international conference on electrical information and communication technology (EICT), pp 1–6, Feb 2014) in order to improve capacity while the interference power for PUs stays at constant level. At the first stage, power is assigned to some groups based on the grouping scheme and at the second stage, the remaining power is allocated to others with water-filling algorithm.
Xavier Fernando, Ajmery Sultana, Sattar Hussain, Lian Zhao
Chapter 5. Resource Allocation for Cognitive Radio Systems with D2D Communication
Abstract
There have been several burgeoning research efforts found in the literature on the resource allocation schemes for CRNs. On the other hand, due to the benefit of D2D communication, International Mobile Telecommunications (IMT)—Advanced Standard systems, such as Long Term Evolution (LTE) and WiMax, allow D2D communication sharing the same radio resources with the cellular network to increase the spectral efficiency.
Xavier Fernando, Ajmery Sultana, Sattar Hussain, Lian Zhao
Chapter 6. Conclusion and Future Work
Abstract
Spectrum crunch escalates as wireless communication solutions, both human and machine centric, being deployed overwhelmingly and require more and more bandwidth. In the realm of such severe spectrum scarcity, a sustainable solution for the spectrum crunch is essential. The CRN solution, that enables intelligent spectrum sharing and dynamic spectrum access could provide a serious long term solution. This is further facilitated by the dominance of software control in wireless systems, both at the transceiver level and the network level.
Xavier Fernando, Ajmery Sultana, Sattar Hussain, Lian Zhao
Backmatter
Metadata
Title
Cooperative Spectrum Sensing and Resource Allocation Strategies in Cognitive Radio Networks
Authors
Xavier Fernando
Ajmery Sultana
Sattar Hussain
Lian Zhao
Copyright Year
2019
Electronic ISBN
978-3-319-73957-1
Print ISBN
978-3-319-73956-4
DOI
https://doi.org/10.1007/978-3-319-73957-1