Title: Wide band time optimal spectrum sensing

Authors: Rama Murthy Garimella; Rhishi Pratap Singh; Naveen Chilamkurti

Addresses: Computer Science Department, Mahindra Ecole Centrale, Hyderabad, Telangana, India ' Signal Processing and Communication Research Center, International Institute of Information Technology, Hyderabad, Telangana, India ' Computer Science and IT, La Trobe University, Melbourne, Australia

Abstract: Conventional methods for spectrum sensing do not consider historical traffic data. Equal amount of time is allocated to each channel of interest for sensing. In this research paper, we formulate the time optimization problem for spectrum sensing keeping historical traffic data into account. We have solved the problem for interesting constraints. For the solution of these constraints stochastic programming formulation has been done. The problem is also formulated as a quadratic/hybrid programming problem where the variance of discrete random variable constitutes a quadratic form associated with a laplacian like matrix. Using this result, time optimal spectrum sensing is formulated as a multi-linear objective function optimization problem.

Keywords: spectrum sensing; Pareto front; integer programming; source coding; stochastic optimisation.

DOI: 10.1504/IJITST.2020.108135

International Journal of Internet Technology and Secured Transactions, 2020 Vol.10 No.4, pp.454 - 480

Received: 23 Apr 2018
Accepted: 17 Nov 2018

Published online: 03 Jul 2020 *

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