Optimization of Throughput vs Fairness In VMIMO Femtocell Systems

Abstract

Advancement and inventions in wireless and internet fields have grown at same time in their own worlds between 1970 and 1990. As a result, general population’s significant portion acquired wireless personal communication phones which became almost standard personal accessory in last decade. Next generation will see dividend advancements in wireless communication area due to availability of high data rate broadband on move, i.e. going to and coming back from office/college etc. Therefore, future wireless mobile system should be able to provide high speed data services to address increasing high data rate demand of users for running applications like live video streaming, video conferencing and VoIP etc. Keeping in view need/demand of high data rate requirements in future, the International Telecommunication Union (ITU) established new milestones, i.e. 1Gb/s under low-mobility conditions and up to 100 Mb/s under high-mobility conditions. Achievement of high mobility target will be done by technologies like Third Generation Partnership Project (3GPP) Long-Term Evolution (LTE) and WiMAX 802.16m. The purpose of this thesis is to devise a technique which maximizes uplink system throughput yet maintaining fairness among scheduled user equipments (UEs) in Virtual Multiple Input Multiple Output (VMIMO) system in 3rd Generation (3G) LTE. In VMIMO strategy, different UEs with single antenna are paired together to achieve multiplexing/diversity gains. Conventional pairing scheme, i.e. round robin scheduling (RRS), proportional fair scheduling (PFS) and random pairing scheduling (RPS) are achieving maximum fairness at the cost of system throughput. Proposed novel scheduling scheme, adaptive-round robin scheduling (A-RRS), achieves goals of maximizing system throughput yet maintaining fairness among paired UEs in Femtocell environment.