Spectrum Sensing and Resource Allocation for Proficient Transmission in Cognitive Radio with 5G

Abstract

In orthogonal frequency division multiplexing (OFDM)-based cognitive radio network–cooperative spectrum sensing (CRN-CSS), resource allocation is critical due to the introduction of interference during spectrum sensing and transmission. This paper resolves this problem of interference through proficient spectrum sensing and resource allocation to improve data transmission. CRN-CSS network is integrated with 5G supported by multiple-input–multiple-output equipped fusion center (FC) to handle massive number of users without loss in connectivity. OFDM-based data transmission is adapted in CRN-CSS to achieve a better transmission rate. In the integrated network, grouping process is initiated by a balanced K-means clustering algorithm to preserve cooperation among secondary users (SUs). Dynamic slot allocation scheme, two-stage multi-slot channel assignment method, is proposed to avoid interference during spectrum sensing. Sensing errors are minimized with the assistance of the energy spectral density-based energy detection spectrum sensing method. For global decision-making, the channel state weighted graph scheme is introduced in which spectrum agent plays a vital role. Finally, resource allocation is carried out by the FC by utilizing efficient Karush–Kuhn–Tucker (EKKT) conditions. Through EKKT method spectrum, transmission powers are allocated to SUs together in such a way that interference with primary user is avoided. Meanwhile, OFDM-based transmission with quadrature phase shift keying modulation scheme reduces peak-to-average-power ratio that leads to high transmission rate. The proposed network is extensively simulated in the NS-3.26 simulation tool and the performance is evaluated from the following performance metrics: throughput, capacity, network utility, transmission power, and transmission rate.

KEYWORDS:

• CRN-CSS
• 5G
• MIMO
• OFDM
• PAPR reduction
• Resource allocation
• Spectrum agent

Additional information

Notes on contributors

M. Meena

M Meena received the ME degree in applied electronics engineering from Anna University. She is currently an assistant professor and a part-time PhD research scholar at Vels University. Her research interests include computer networks, wireless networking, cognitive radio network, and software defined radio, etc. She has published 11 papers in Scopus-indexed journal. Corresponding author. Email: [email protected].

V. Rajendran

V Rajendran received his MTech in physical engineering from Indian Institute of Science, Bangalore, India and received his PhD degree in electrical and electronics engineering from Chiba University, Japan in 1981 and 1993, respectively. He is currently, a professor and the head of the Department of Electronics and Communication Engineering in Vels Institute of Science and Technology, Pallavaram, Chennai, India. He was awarded MONBUSHO Fellowship, Japanese Govt. Fellowship (1988–1989) through the Ministry of Human Resource and Development, Govt. of India. He was elected twice as Vice Chairman – Asia of Execution Board of Data Buoy Co-operation Panel (DBCP) of Inter-Governmental Oceanographic Commission (IOC)/World Meteorological Organization (WMO) of UNSCO, in October 2008 and September 2009, respectively. He since a Life Fellow of Ultrasonic Society of India, India (USI) since January 2001. He is a Life Fellow of Institution of Electronics and Telecommunication Engineering (IETE), India, since January 2012. His area of interest includes cognitive radio and software-defined radio communication, antennas and propagation and wireless communication, under water acoustic signal processing and under water wireless networks. He has published 52 papers in web of science and Scopus-indexed journal. Email: [email protected].