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Multi-objective Resource Allocation for LTE/LTE-A Femtocell/HeNB Networks Using Ant Colony Optimization

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Abstract

Existing femtocell resource allocation schemes for Long Term Evolution or LTE-Advanced femtocell networks do not jointly achieve efficient resource utilization, fairness guarantee, interference mitigation and reduced complexity in a satisfactory manner. In this paper, a multi-objective resource allocation scheme is proposed to achieve these desired features simultaneously. We first formulate three objective functions to respectively maximize resource utilization efficiency, guarantee a high degree of fairness and minimize interference. A weighted sum approach is then used to combine these objective functions to form a single multi-objective optimization problem. An ant colony optimization algorithm is employed to find the Pareto-optimal solution to this problem. Simulation results demonstrate that the proposed scheme performs jointly well in all aspects, namely resource utilization, fairness and interference mitigation. Additionally, it maintains satisfactory performance in the handover process and has a reasonably low complexity compared to the existing schemes.

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Notes

  1. It is noteworthy that path selection in ACO is determined using roulette-wheel selection, i.e., by matching the random number generated with the cumulative probability ranges associated with different paths based on the probabilities calculated using (14). As the design variables in our formulated problem are binary-valued, Step 3 only needs to compare one of the probabilities calculated with the generated random number without using roulette-wheel selection.

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Acknowledgments

This work is supported in part by the Yayasan Universiti Multimedia (YUM) foundation and the fundamental research grant scheme (FRGS), Ministry of Higher Education, Malaysia.

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Authors and Affiliations

  1. Faculty of Engineering, Multimedia University, Jalan Multimedia, 63100, Cyberjaya, Selangor, Malaysia

    Ying Loong Lee, Teong Chee Chuah & Ayman A. El-Saleh

  2. School of Science and Technology, Middlesex University, London, NW4 4BT, UK

    Jonathan Loo

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  1. Ying Loong Lee
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  2. Jonathan Loo
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  4. Ayman A. El-Saleh
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Correspondence to Ying Loong Lee.

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Lee, Y.L., Loo, J., Chuah, T.C. et al. Multi-objective Resource Allocation for LTE/LTE-A Femtocell/HeNB Networks Using Ant Colony Optimization. Wireless Pers Commun 92, 565–586 (2017). https://doi.org/10.1007/s11277-016-3557-5

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