A Novel MAC Protocol with Fusion Center and Adaptive Full-Duplex Communication for Cognitive Radio Networks

Abstract

Cognitive radio network is an intelligent and adaptive communication technology used to effectively utilize the radio spectrum to provide better communication. It enables the secondary (unlicensed) users to communicate over vacant channels without disrupting the communication of the primary (licensed) users. This paper proposes a novel contention-free MAC protocol for full-duplex and half-duplex cognitive radio networks. A novel concept of a fusion center-based channel allocation scheme is proposed to provide better channel allocation and reduced energy consumption. The proposed technique is compared with the existing techniques in terms of the average number of channels being sensed by each user, average wait time, collisions, throughput, and average energy consumption. The number of collisions increases as the maximum allotted time of communication increases in existing approaches. The experiment is performed with 20, 40, 60, and 80 s. The existing approaches show for 20 s, the number of collisions is 65, 61, 68, and 62; for 40 s, the number of collisions is 93, 96, 95, and 92; for 60 s, the number of collisions is 122, 126, 133, and 130; for 80 s, the number of collisions is 176, 170, 173, and 175. The proposed method approaches the number of collisions will become zero as the maximum allotted time of communication increases. The experimental results show that the proposed approach performs better than existing approaches. Moreover, it can be observed that the average waiting time of secondary users when a collision occurs is reduced with the application of a fusion center-based channel allocation scheme.

KEYWORDS:

• Cognitive radio network
• Dual-threshold
• Full-duplex
• Fusion center
• Half-duplex
• MAC protocol
• Spectrum sensing

Additional information

Notes on contributors

Appala Raju Uppala

Appala Raju Uppala received the diploma in electronics and communication engineering from Govt Polytechnic College, Narsipatnam in 1997, AMIE degree in ECE from Institution of Engineers India, Kolkata in 2004, and Master of Technology from Jawaharlal Nehru Technological University (JNTU), Hyderabad in 2007, and pursuing the PhD degree from Department of ECE, Jawaharlal Nehru Technological University (JNTU), Kakinada, India. He has published more than 12 technical papers in national and international journals and conferences. His areas of interest are: analog electronics and design, cognitive radio system, communication and signal processing. Corresponding author. Email: [email protected]

C. Venkata Narasimhulu

C Venkata Narasimhulu received BTech degree in electronics and communication Engineering from S V University, Tirupathi in 1995 and Master of Technology in instrumentation & control systems from REC, Calicut in 2000 and PhD from JNTU, Kakinada in 2013 in the area of signal processing. He has published more than 45 technical papers in national and international journals and conferences. His areas of interest are signal processing, cognitive radio, image processing and medical image processing etc. Email: [email protected]

K. Satya Prasad

K. Satya Prasad received BTech degree in electronics and communication engineering from JNTU College of Engineering, Anantapur, in 1977 and ME degree in communication systems from Guindy College of Engineering, Madras University, in 1979 and PhD from Indian Institute of Technology, Madras in 1989. He has published more than 150 technical papers in different national & international conferences and journals and authored one text book. His areas of research include communications signal processing, image processing, speech processing, neural networks & ad-hoc wireless networks etc. Email: [email protected]