A dynamic programming based technique for optimal allocation of radio resource in multi-user cellular long-term evolution (LTE) downlink

Authors:
Abayomi M. Ajofoyinbo;Kehinde Orolu
Affiliations:
Department of Systems Engineering, Faculty of Engineering Complex, University of Lagos, Lagos, Nigeria;Department of Systems Engineering, Faculty of Engineering Complex, University of Lagos, Lagos, Nigeria
Venue:
TELE-INFO'11/MINO'11/SIP'11 Proceedings of the 10th WSEAS international conference on Telecommunications and informatics and microelectronics, nanoelectronics, optoelectronics, and WSEAS international conference on Signal processing
Year:
2011

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Abstract

In recent time, researchers have investigated the problems of radio resource allocation in Long-Term Evolution (LTE) Downlink and have made useful contributions. In the current work, a deterministic dynamic programming based technique is proposed for optimal allocation of radio resource in the downlink of a multiuser LTE Cellular Systems. The objective is to maximise instantaneous channel throughput through optimal allocation of radio resource. The proposed model was simulated on a Personal Computer using C# programming language. It is shown that the proposed technique maximises instantaneous channel throughput through optimal allocation of Resource Blocks (RBs).