Abstract
Emerging cellular communication technology such as Long Term Evolution (LTE) requires high data rate as well as quality of service (QoS). One of key features of LTE system is scheduling the wireless resources through Radio resource management. LTE is an all-Packet system with promising QoS. In this context, the scheduler is a vital and crucial entity of the LTE which is responsible for efficient allocation of the radio resources among mobile users who having different QoS demands. In this paper, we propose a novel sub optimal MAC PHY level scheduler to deliver different class of QoS demands of active users. The scheduling algorithm performs sub optimal tradeoff between QoS requirements and data rate throughput of users with sub optimal allocation of power and bandwidth resources. Evaluation of algorithm on the basis of latency, overall cell throughput and complexity is performed and compared. Simulation results depict an improvement in throughput and complexity using the proposed algorithm, as compared to the previously used algorithms.
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