A game theoretic distributed algorithm for FeICIC optimization in LTE-A HetNets
journal contributionposted on 08.11.2017, 14:00 authored by Ye Liu, Chung Shue Chen, Chi Wan Sung, Chandramani Singh
To obtain good network performance in Long Term Evolution-Advanced (LTE-A) heterogeneous networks (HetNets), enhanced inter-cell interference coordination (eICIC) and further eICIC (FeICIC) have been proposed by LTE standardization bodies to address the entangled inter-cell interference and the user association problems. We propose the 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, 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 with conventional schedulers.
This work has been partially supported by ANR project IDEFIX under grant number ANR-13-INFR-0006, a grant from the Research Grants Council of the Hong Kong Special Administrative Region, China, under Project CityU 121713, and by the Engineering and Physical Science Research Council of the UK, EPSRC, under the grant EP/M015475.
- Mechanical, Electrical and Manufacturing Engineering