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CLC number: TN929.5

On-line Access: 2017-06-30

Received: 2017-01-15

Revision Accepted: 2017-04-06

Crosschecked: 2017-06-05

Cited: 1

Clicked: 4625

Citations:  Bibtex RefMan EndNote GB/T7714


Zhao-yang Zhang


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Frontiers of Information Technology & Electronic Engineering  2017 Vol.18 No.6 P.830-840


Interference coordination in full-duplex HetNet with large-scale antenna arrays

Author(s):  Zhao-yang Zhang, Wei Lyu

Affiliation(s):  College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou 310027, China

Corresponding email(s):   ning_ming@zju.edu.cn, levy_lv@zju.edu.cn

Key Words:  Massive MIMO, Full-duplex, Small cell, Wireless backhaul, Distributed algorithm

Zhao-yang Zhang, Wei Lyu. Interference coordination in full-duplex HetNet with large-scale antenna arrays[J]. Frontiers of Information Technology & Electronic Engineering, 2017, 18(6): 830-840.

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Massive multiple-input multiple-output (MIMO), small cell, and full-duplex are promising techniques for future 5G communication systems, where interference has become the most challenging issue to be addressed. In this paper, we provide an interference coordination framework for a two-tier heterogeneous network (HetNet) that consists of a massive-MIMO enabled macro-cell base station (MBS) and a number of full-duplex small-cell base stations (SBSs). To suppress the interferences and maximize the throughput, the full-duplex mode of each SBS at the wireless backhaul link (i.e., in-band or out-of-band), which has a different impact on the interference pattern, should be carefully selected. To address this problem, we propose two centralized algorithms, a genetic algorithm (GEA) and a greedy algorithm (GRA). To sufficiently reduce the computational overhead of the MBS, a distributed graph coloring algorithm (DGCA) based on price is further proposed. Numerical results demonstrate that the proposed algorithms significantly improve the system throughput.




Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article


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