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Location assisted subcarrier and power allocation in underlay mobile cognitive radio networks

Farooq-I-Azam, Muhammad, Yu, Wenjuan, Ni, Qiang, Dong, Mianxiong and ul Quddus, Atta (2018) Location assisted subcarrier and power allocation in underlay mobile cognitive radio networks In: 2018 IEEE Global Communications Conference (GLOBECOM), 09-13 Dec 2018, Abu Dhabi, UAE.

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Abstract

In this paper we perform subcarrier and power allocation for the downlink transmission in a cognitive radio network by exploiting the location information of mobile secondary users. A mixed integer nonlinear problem is formulated which maximizes the aggregate capacity of the secondary network, subject to the constrained interference at the primary user and the maximum transmit power limit of the secondary base station. To solve the formulated problem, an optimal subcarrier allocation is first obtained based on a practical assumption, followed by an optimal power allocation achieved using standard optimization methods. The proposed solution can facilitate to reduce latency and provide high speed communication of big data for mobile secondary users since speed, direction and location are all taken into account for effective allocation of resources. Simulation results verify our design intentions and confirm the efficiency of the proposed resource allocation strategy.

Item Type: Conference or Workshop Item (Conference Paper)
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering
Authors :
NameEmailORCID
Farooq-I-Azam, Muhammad
Yu, Wenjuanw.yu@surrey.ac.uk
Ni, Qiang
Dong, Mianxiong
ul Quddus, Atta
Date : 2018
Funders : Engineering and Physical Sciences Research Council (EPSRC)
Copyright Disclaimer : © 2018 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.
Related URLs :
Depositing User : Clive Harris
Date Deposited : 03 Oct 2018 12:20
Last Modified : 11 Dec 2018 11:24
URI: http://epubs.surrey.ac.uk/id/eprint/849520

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