Multiuser scheduling on the LTE downlink with meta-heuristic approaches |
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| Institution: | 1. University of Bedfordshire, Park Square, Luton, LU1 3JU, United Kingdom;2. Ranplan Wireless Network and Design Ltd., Dunstable, LU6 3HS, United Kingdom;1. Dr. B.C. Roy Engineering College, Durgapur, West Bengal 713206, India;2. National Institute of Technology-Agartala, Tripura 799046, India;3. The Department of Electrical Engineering, Jadavpur University, Kolkata, West Bengal 700032, India;1. Linné FLOW Centre, KTH Mechanics, Osquars Backe 18, Stockholm, Sweden;2. Department of Mechanical, Materials and Aerospace Engineering (MMAE), llinois Institute of Technology (IIT), Chicago, IL, 60616, USA |
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| Abstract: | In this paper, the issue of multi-user radio resource scheduling on the downlink of a Long Term Evolution (LTE) cellular communication system is addressed. An optimization model has been proposed earlier, where radio resources for multiple users are jointly allocated at the air-interface. It has been shown that an optimal solution to such a problem may provide reasonable gain over a simply greedy approach. However, the complexity of such an optimal approach could be prohibitively high. By exploiting meta-heuristic methods such as Genetic Algorithm (GA) and Simulated Annealing (SA), the results in this paper show that significant reduction in complexity can be obtained while achieving near-optimal solutions. |
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