Genetic algorithm approach for dynamic configuration of Multicast Broadcast Single Frequency Network deployment in LTE

ICIMU 2011 : Proceedings of the 5th international Conference on Information Technology & Multimedia Pub Date : 2011-11-01 DOI:10.1109/ICIMU.2011.6122733

N. F. Tuban, M. F. Azman, K. A. Noordin, M. Ismail

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引用次数: 8

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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LTE中组播单频网络部署动态配置的遗传算法

多媒体广播组播业务(Multimedia Broadcast Multicast service, MBMS)用于以点对多点(PtM)传输方式传送视频、移动电视直播等多媒体内容。在长期演进(LTE)中，提供了另一种技术，通过单频网络(MBSFN)上的多媒体广播/多播服务来增加传输容量和速度。MBSFN是由多个小区组成的大型网络，在一定的时间内，小区间的信号传输是紧密同步的。为了适应MBMS用户位置的变化，需要对构成MBSFN区域的小区进行配置。提出了一种基于遗传算法的MBSFN区域动态配置方法。该算法基于MBMS用户设备密度较高的位置搜索MBSFN区域部署的最优解。使用MBSFN传输模式将牺牲覆盖成本高昂的ue。

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ICIMU 2011 : Proceedings of the 5th international Conference on Information Technology & Multimedia

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