Abstract

Multimedia Broadcast Multicast service (MBMS) is used for the delivery of multimedia contents such as video and live mobile TV in a point-to-multipoint (PtM) mode of transmission. In Long Term Evolution (LTE), another technique is offered to increase the capacity and speed of transmission via Multimedia Broadcast / Multicast service over a Single Frequency Network (MBSFN). MBSFN is a large network consisting of multiple cells where the signal transmission are tightly time synchronized among them in a given duration. The configuration of which cells comprise a MBSFN area is necessary to adapt changes of MBMS users location. In this paper, a genetic algorithm (GA) approach is proposed for dynamic configuration of MBSFN area. The proposed algorithm searches the optimal solution for MBSFN area deployment based on location where the densities of MBMS user equipments (UEs) are higher. The UEs that are expensive to cover would be sacrificed from being in MBSFN mode of transmission.

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