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Power Allocation for Joint Interweave and Underlay Cognitive Radio Systems with Arbitrary Input Distributions

Sohail, A, Al-Imari, M, Xiao, P and Evans, B (2014) Power Allocation for Joint Interweave and Underlay Cognitive Radio Systems with Arbitrary Input Distributions In: IEEE WCNC'14, 2014-04-06 - 2014-04-09, Istanbul, Turkey.

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Abstract

In the literature, the Gaussian input is assumed in power optimization algorithms. However, this assumption is unrealistic, whereas practical systems use Finite Symbol Alphabet (FSA) input, (e.g., M-QAM). In this paper, we consider the optimal power for joint interweave and underlay CR systems given FSA inputs. We formulated our problem as convex optimization and solved it through general convex optimization tools. We observed that the total SU transmit power is always less than the power budget and remains in interference limited region only over the considered distance range. Therefore, we re-derive optimal power with interference constraint only in order to reduce the complexity of the algorithm by solving it analytically. Numerical results reveal that, for the considered distance range, the transmit power saving and the rate gain with the proposed algorithm is in the range 16-92% and 7-34%, respectively, depending on the modulation scheme (i.e., BPSK, QPSK and 16-QAM) used.

Item Type: Conference or Workshop Item (Conference Paper)
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering > Centre for Communication Systems Research
Authors :
NameEmailORCID
Sohail, AUNSPECIFIEDUNSPECIFIED
Al-Imari, MUNSPECIFIEDUNSPECIFIED
Xiao, PUNSPECIFIEDUNSPECIFIED
Evans, BUNSPECIFIEDUNSPECIFIED
Date : April 2014
Identification Number : 10.1109/WCNC.2014.6952529
Copyright Disclaimer : © 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Depositing User : Symplectic Elements
Date Deposited : 21 Jan 2015 08:53
Last Modified : 27 Jul 2017 12:05
URI: http://epubs.surrey.ac.uk/id/eprint/805059

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