SPECTRUM DECISION APPROACH FOR COGNITIVE RADIO BASED IOT IN 5G COMMUNICATION SYSTEM
Author(s):
I. RAJASEKHAR, Dr. M. MONISHA
Keywords:
cognitive radio; channel sensing; Interference Sensing; spectrum sensing; full duplex, half duplex, Internet of things, wireless sensor networks, machine learning, 5G, B5G.
Abstract
Spectrum Sensing (SS) plays an essential role in Cognitive Radio (CR) networks to diagnose the availability of frequency resources. In this 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 through put 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 utilization 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.
Article Details
Unique Paper ID: 154348

Publication Volume & Issue: Volume 8, Issue 10

Page(s): 637 - 657
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