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A Game Theoretic Distributed Algorithm for FeICIC Optimization in LTE-A HetNets

Abstract : In order to obtain good network performance in Long Term Evolution-Advanced (LTE-A) heterogeneous networks (HetNets), enhanced inter-cell interference coordination (eICIC) and further enhanced inter-cell interference coordination (FeICIC) have been proposed by LTE standardization bodies to address the entangled inter-cell interference and the user association problems. We propose distributed algorithms based on the exact potential game framework for both eICIC and FeICIC optimizations. We demonstrate via simulations a 64% gain on energy efficiency (EE) achieved by eICIC and another 17% gain on EE achieved by FeICIC. We also show that FeICIC can bring other significant gains in terms of cell-edge throughput, spectral efficiency (SE) and fairness among user throughputs. Moreover, we propose a downlink scheduler based on a cake-cutting algorithm that can further improve the performance of the optimization algorithms compared to conventional schedulers.
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Submitted on : Sunday, September 10, 2017 - 4:50:52 PM
Last modification on : Thursday, December 10, 2020 - 10:52:05 AM


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  • HAL Id : hal-01575318, version 2


Ye Liu, Chung Shue Chen, Chi Wan Sung, Chandramani Singh. A Game Theoretic Distributed Algorithm for FeICIC Optimization in LTE-A HetNets. IEEE/ACM Transactions on Networking, IEEE/ACM, 2017. ⟨hal-01575318v2⟩



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