Abstract

Spectrum Sensing (SS) plays an essential role in Cognitive Radio (CR) networks to diagnose the availability of frequency resources. In this paper, we aim to provide an in-depth survey on the most recent advances in SS for CR. We start by explaining the Half-Duplex and Full-Duplex paradigms, while focusing on the operating modes in the Full-Duplex. A thorough discussion of Full-Duplex operation modes from collision and throughput points of view is presented. Then, we discuss the use of learning techniques in enhancing the SS performance considering both local and cooperative sensing scenarios. In addition, recent SS applications for CR-based Internet of Things and Wireless Sensors Networks are presented. Furthermore, we survey the latest achievements in Spectrum Sensing as a Service, where the Internet of Things or the Wireless Sensor Networks may play an essential role in providing the CR network with the SS data. We also discuss the utilisation of CR for the 5th Generation and Beyond and its possible role in frequency allocation. With the advancement of telecommunication technologies, additional features should be ensured by SS such as the ability to explore different available channels and free space for transmission. As such, we highlight important future research axes and challenging points in SS for CR based on the current and emerging techniques in wireless communications.

Highlights

  • Two decades ago, Mitola introduced a new concept in wireless telecommunication: the Cognitive Radio (CR) [1]

  • CR is mainly based on Soft Defined Radio (SDR) [2], where specific hardware can be replaced by more generic hardware that can be configured via software

  • We presented the fundamental principles and motivations of applying spectrum sensing in cognitive radio networks

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Summary

Introduction

Mitola introduced a new concept in wireless telecommunication: the Cognitive Radio (CR) [1]. Most of the current wireless communication systems are based on the concept of fixed (or static) frequency allocation They are designed to operate on pre-selected frequency bands. 2. Overlay Access: the SU may transmit simultaneously with the PU on the same channel up to its maximum power, but at the cost of playing a role of relay between two or more PUs [10,11]. Overlay Access: the SU may transmit simultaneously with the PU on the same channel up to its maximum power, but at the cost of playing a role of relay between two or more PUs [10,11] In this case, the SU sends its data while relaying the PUs. In this case, the SU sends its data while relaying the PUs This kind of access requires high level of cooperation between PUs and SUs, which may expose the PUs privacy

Interweave Access
Half-Duplex Cognitive Radio
Full-Duplex Cognitive Radio
Self-Interference Cancellation
Transmit-Sense
Transmit-Receive
IS-Based Transmit-Receive
SS-based Transmit-Receive
Learning Techniques for Spectrum Sensing
Local Spectrum Sensing
Cooperative Spectrum Sensing
Wireless Sensor Network and Cognitive Radio
Spectrum Sensing as a Service
Dynamic Spectrum Sharing for WSN communication
Cognitive Radio Application for 5G and Beyond 5G
Compressive Sensing
Beamforming-Based Communication
Future Challenges
Channel Coding for Interference Sensing
Switching protocols between CR functioning modes
Use of Intelligent Reflecting Surfaces
Towards Intelligent Spectrum Sensing
Findings
Conclusions
Full Text
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