Title: Multi-objective resource allocation in interference-limited M2M communication networks

Authors: Fatima Hussain; Alagan Anpalagan; Muhammad Naeem; Ahmed Shaharyar Khwaja

Addresses: Department of Electrical and Computer Engineering, Ryerson University, 350 Victoria Street, Toronto, ON M5B 2K3, Canada ' Department of Electrical and Computer Engineering, Ryerson University, 350 Victoria Street, Toronto, ON M5B 2K3, Canada ' Department of Electrical and Computer Engineering, Ryerson University, 350 Victoria Street, Toronto, ON M5B 2K3, Canada ' Department of Electrical and Computer Engineering, Ryerson University, 350 Victoria Street, Toronto, ON M5B 2K3, Canada

Abstract: In this paper, we propose a multi-objective optimisation-based solution to the problem of resource allocation in interference-limited machine to machine (M2M) communication. We consider machine type communication devices (MTCDs) in a clustered network structure, where they are divided into clusters and the devices belonging to a cluster communicate to cluster head (or controller). The cluster head aggregates the traffic and relays from MTCDs to eNB and vice versa. We maximise the number of admitted MTCD controllers and throughput with least interference caused to conventional primary users. We formulate the problem as a mixed-integer nonlinear problem with multiple objectives and apply meshed adaptive direct search (MADS) algorithm which gives guaranteed convergence. Simulation results show the effects of varying different parameters on cumulative throughput and the number of admitted MTCD controllers.

Keywords: machine to machine communication; M2M; MTCD controllers; clustering; multi-objective resource allocation; interference; M2M communication networks; mixed-integer nonlinear programming; MINLP; meshed adaptive direct search; MADS; simulation; throughput.

DOI: 10.1504/IJCNDS.2016.076655

International Journal of Communication Networks and Distributed Systems, 2016 Vol.16 No.3, pp.297 - 313

Received: 10 Jan 2016
Accepted: 20 Feb 2016

Published online: 18 May 2016 *

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