Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
465830 | Physical Communication | 2013 | 9 Pages |
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.
Related Topics
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Authors
Mehmet E. Aydin, Raymond Kwan, Joyce Wu,