A game theoretic distributed algorithm for FeICIC optimization in LTE-A HetNets

Ye Liu, Chung Shue Chen, Chi Wan Sung, Chandramani Singh

Research output: Contribution to journalArticlepeer-review

19 Citations (Scopus)
14 Downloads (Pure)


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.
Original languageEnglish
Pages (from-to)3500 - 3513
Number of pages14
JournalIEEE/ACM Transactions on Networking
Issue number6
Early online date18 Sept 2017
Publication statusPublished - Dec 2017
Externally publishedYes

Bibliographical note

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  • Optimization
  • Games
  • Interference
  • Throughput
  • Downlink
  • Distributed algorithms
  • Heterogeneous networks


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