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SCIENCE CHINA Information Sciences, Volume 59, Issue 8: 082305(2016) https://doi.org/10.1007/s11432-016-5556-2

Hybrid inter-cell interference management for ultra-dense heterogeneous network in 5G

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  • ReceivedNov 5, 2015
  • AcceptedJan 21, 2016
  • PublishedApr 25, 2016

Abstract

The Ultra-dense Heterogeneous Network (HetNet), which consists of macro-cells and pico-cells, has been recognized as a key technique to improve network performance. However, the increasing number of pico-cells also causes severe interference including inter-cell interference and intra-cell interference. Therefore, interference management has become an important issue in ultra-dense HetNets, and the traditional enhanced inter-cell interference coordination (eICIC) scheme is no longer fit for the high density of small cells. In this paper, a hybrid interference management method based on dynamic eICIC and coordinated multi-point transmission (CoMP) is proposed. Firstly, a virtual cell is established based on the characteristics of ultra dense HetNets. Then, a novel joint dynamic eICIC scheme combined with multi-user beamforming is deployed to eliminate the inter-cell interference, and improve the throughput of virtual cell significantly without sharp decrease of throughput of macro-cell. Furthermore, a virtual cell based joint transmission scheme is deployed with a power control algorithm, which can obviously increase the spectrum efficiency of virtual cell edge. Simulation results verify that the proposed scheme can achieve better spectrum efficiency both at macro-cell and virtual cell edges, and the network throughput is also improved.


Funded by

National Science and Technology Major Project(2014ZX03003010-004)

National Natural Science Foundation of China(61171111)

"source" : null , "contract" : "2014AA01A701"

National Natural Science Foundation of China(61571073)

Innovation Project Foundation for postgraduate student of Chongqing(CYS14141)

National High-Tech R&D Program of China(863)


Acknowledgment

Acknowledgments

This work was supported by National Natural Science Foundation of China (Grant Nos. 61571073, 61171111), National High-Tech R&D Program of China (863) (Grant No. 2014AA01A701), National Science and Technology Major Project (Grant No. 2014ZX03003010-004), and Innovation Project Foundation for postgraduate student of Chongqing (Grant No. CYS14141).


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