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Optimal Action for Cognitive Radio User under Constrained Energy and Data Traffic Uncertainty

Authors:
Hiep Vu Van
Young-Doo Lee
Insoo Koo

Keywords: cognitive radio; energy harvesting; energy efficiency; optimal action policy; POMDP

Abstract:
In cognitive radio network, cognitive radios should operate with a small battery. Operation schedule for cognitive radio user (CU) strongly affects performance of a device with a finite capacity battery. An energy harvester that harvests energy from the environment to recharge the battery can be utilized to extend the lifetime of the CU. While the CU consumes a similar energy for sensing and transmitting data in all active slots, its reward (i.e., throughput) may not be the same because of different data traffic (i.e., the amount of data that needs to be transmitted). Therefore, in order to maximize performance of the cognitive radio network, the CU needs to consider the current data traffic to determine its optimal action policy in terms of sleeping or active. In this paper, we formulate the problem of choosing an action by the CU by using a partially observable Markov decision process (POMDP) in which the CU’s three states in terms of data traffic, belief and remaining energy are utilized as main factors to decide an optimal action of the CU in current time slot, and the effect of current action to future reward will be considered through POMDP. Simulation results prove the efficiency of the proposed scheme.

Pages: 10 to 14

Copyright: Copyright (c) IARIA, 2016

Publication date: February 21, 2016

Published in: conference

ISSN: 2308-4251

ISBN: 978-1-61208-456-5

Location: Lisbon, Portugal

Dates: from February 21, 2016 to February 25, 2016