Optimising Bit Error Rate and Power Consumption Through Systematic Approach for OFDM Systems

Abstract: Orthogonal Frequency Division Multiple Access (OFDMA) is becoming a widely deployed mechanism in broadband wireless networks due to its capability to combat the channel impairments and support high data rate. The Proposed System considers the Resource Allocation and Distributed Power Allocation Scheduling with Greedy Search Method in the downlink of OFDMA networks supporting Distributed Antenna System. The purpose of Resource Allocation is to allocate sub-carriers and power to users to meet their service requirements, while maintaining fairness among users and maximizes resource utilization. To achieve these objectives, utility-based Resource Allocation schemes along with Resource Allocation paradigms such as power control, adaptive modulation and coding, sub-carrier assignment and scheduling are adopted. On one hand, a utility-based Resource Allocation scheme improves resource utilization by allocating enough resources based on user’s Quality of Service (QoS) satisfaction. On the other hand, Resource Allocation based on utilities is non-trivial when users demand different traffic types with convex and non- convex utilities. The proposed scheme efficiently schedules users by exploiting multiuser diversity gain, OFDMA Resource Allocation flexibility and utility fair service discipline.

Keywords: OFDMA, QoS, DAS, MS's.