An efficient genetic-based downlink resource allocation scheme in LTE base stations

Article type: Research Article

Authors: Chung, Yao-Liang

Affiliations: Department of Communication Engineering, National Taipei University, New Taipei City, Taiwan

Note: [] Corresponding author. Yao-Liang Chung, Department of Communication Engineering, National Taipei University, New Taipei City, Taiwan. E-mail: ylchung@mail.ntpu.edu.tw

Abstract: Long term evolution (LTE) base stations (BS) are greatly capable of improving various wireless services. As the amazingly rapid explosion of demands of various network-service applications, how to apropos design an efficient and effective resource allocation scheme for satisfying users' requirements in all perspectives in LTE BSs plays a crucial role. In this study, a state-of-the-art genetic-based resource allocation scheme has now been proposed in LTE BSs for downlink transmissions. The presented scheme supports multi-priority users and employs an aptly modified proportional fair based utility function as the performance metric. The performance evaluation of the proposed scheme is shown able to nearly achieve the optimal solution in an acceptable short time interval of few genetic generations in practice.

Keywords: Resource allocation, genetic-based, long term evolution, proportional fair, wireless networks

DOI: 10.3233/IFS-130846

Journal: Journal of Intelligent & Fuzzy Systems, vol. 26, no. 4, pp. 1669-1673, 2014