Title: On the target channel sequence selection for multiple handoffs in cognitive radio-based wireless regional area networks

Authors: Nitin Gupta; Sanjay Kumar Dhurandher; Isaac Woungang; Joel J.P.C. Rodrigues

Addresses: Netaji Subhas Institute of Technology, University of Delhi, New Delhi, India ' Netaji Subhas Institute of Technology, University of Delhi, New Delhi, India ' Ryerson University, 350 Victoria St., Toronto, ON M5B 2K3, Canada ' National Institute of Telecommunications (Inatel), Santa Rita do Sapucaí, MG, Brazil; Instituto de Telecomunicações, Universidade da Beira Interior, Portugal; University of Fortaleza (UNIFOR), Av. Washington Soares, 1321 – Edson Queiroz, Fortaleza-CE, Brazil

Abstract: In cognitive radio networks, handoff occurs when an unlicensed spectrum user has to switch to a new target channel from its current operating channel which a secondary user was using opportunistically. This situation raises whenever either the licensed primary user appears again or the channel's condition get worst. Substantial sensing time can be saved if a secondary user can make a proactive decision about selecting the future vacant target channel to resume the unfinished transmission before starting its transmission. This paper proposes a novel target channel sequence selection scheme for cognitive radio networks, which minimises the estimated service time of a secondary user by reducing the multiple handoffs. A non-iterative algorithm is implemented, which does not require the use of an exhaustive search technique as usual to determine the target channel sequence. Simulation results show that the proposed scheme outperforms both the random scheme and a considered benchmark scheme in terms of service time, cumulative handoff delay and throughput achieved by the secondary user.

Keywords: IEEE 802.22 WRAN; cognitive radio; multiple handoffs; total service time; handoff delay; discrete Markov chain; artificial neural network; ANN.

DOI: 10.1504/IJSSC.2018.098691

International Journal of Space-Based and Situated Computing, 2018 Vol.8 No.4, pp.214 - 224

Received: 02 Nov 2018
Accepted: 15 Nov 2018
Published online: 29 Mar 2019 *

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