ICTACT Journal on Communication Technology

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An Efficient QoS-Constrained Resource Allocation Strategy for Multi-Carrier Mobile Communication Systems


Affiliations
1 Department of Electronics and Communication Engineering, Acharya Nagarjuna University, India
2 Department of Electronics and Communication Engineering, Daita Madhusudana Sastry Sri Venkateswara Hindu College of Engineering, India
     

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Resource allocation strategies in Mobile Communication Systems (4G/5G) are proposed to enhance the data transmission and to meet the required QoS of the users by reducing the interference (inter/intra cell). The aim of this paper is to propose an efficient QoS-Constrained resource allocation strategy called QoS-Constrained Modified Load Matrix (QoS-MLM) for Multi -Carrier Mobile Communication systems under 4G LTE scenario to reduce interference and to improve aggregate throughput, packet delay. Simulation results show that by using QoS-MLM the aggregate throughput and packet delay has improved significantly when compared to benchmark schedulers.

Keywords

Quality of Service (QoS), Resource Allocation, Cellular Radio, Interference, Aggregate Throughput, Long Term Evolution (LTE).
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  • An Efficient QoS-Constrained Resource Allocation Strategy for Multi-Carrier Mobile Communication Systems

Abstract Views: 274  |  PDF Views: 2

Authors

Srinivas Karedla
Department of Electronics and Communication Engineering, Acharya Nagarjuna University, India
Ch. Santhi Rani
Department of Electronics and Communication Engineering, Daita Madhusudana Sastry Sri Venkateswara Hindu College of Engineering, India

Abstract


Resource allocation strategies in Mobile Communication Systems (4G/5G) are proposed to enhance the data transmission and to meet the required QoS of the users by reducing the interference (inter/intra cell). The aim of this paper is to propose an efficient QoS-Constrained resource allocation strategy called QoS-Constrained Modified Load Matrix (QoS-MLM) for Multi -Carrier Mobile Communication systems under 4G LTE scenario to reduce interference and to improve aggregate throughput, packet delay. Simulation results show that by using QoS-MLM the aggregate throughput and packet delay has improved significantly when compared to benchmark schedulers.

Keywords


Quality of Service (QoS), Resource Allocation, Cellular Radio, Interference, Aggregate Throughput, Long Term Evolution (LTE).