Title :
Multi-objective genetic algorithm downlink resource allocation in LTE: Exploiting the cell-edge vs. Cell-center trade-off
Author :
Chiumento, Alessandro ; Blanch, Carolina ; Desset, Claude ; Polling, Sofie ; Van der Perre, Liesbet ; Lauwereins, Rudy
Author_Institution :
Interuniv. Micro-Electron. Center (IMEC), Leuven, Belgium
Abstract :
Resource allocation in LTE networks is a challenging problem as multiple users, under a variety of channel conditions, compete for scarce network resources. Moreover, targeting the optimization of the network capacity while still guaranteeing a minimum quality of service complicates the problem considerably. Traditional schedulers can achieve a single tradeoff between the conflicting capacity optimization and fairness objectives. This paper presents a novel allocation strategy based on genetic algorithms in which both objectives are simultaneously optimized. This is done by maximizing both the total cell rate and cell-edge rate. The results show that the proposed algorithm offers a range of Pareto optimal solutions that outperform all other reference strategies.
Keywords :
Long Term Evolution; Pareto optimisation; genetic algorithms; quality of service; resource allocation; telecommunication scheduling; LTE networks; Pareto optimal solutions; cell rate; cell-center trade-off; cell-edge; multiobjective genetic algorithm; network capacity optimization; quality of service; resource allocation; Europe; Interference; OFDM; Phase shift keying; Signal to noise ratio;
Conference_Titel :
Communications and Vehicular Technology in the Benelux (SCVT), 2014 IEEE 21st Symposium on
DOI :
10.1109/SCVT.2014.7046719