Multi-objective resource allocation in interference-limited M2M communication networks. (2016)

• Record Type: Journal Article
• Authors: Hussain, Fatima; Anpalagan, Alagan; Naeem, Muhammad; Khwaja, Ahmed Shaharyar
• Is Part Of: International journal of communication networks and distributed systems. Volume 16:Number 3(2016)
• Page Start: 297
• Page End: 313
• Publication Date: 2016
• Subjects: 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; Computer networks -- Periodicals; Telecommunication systems -- Periodicals; Electronic data processing -- Distributed processing -- Periodicals; 004.6
• Languages: English
• ISSNs: 1754-3916

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.