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

Zhao-yang ZHANG; Wei LYU

doi:10.1631/FITEE.1700047

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

Special Issue on 5G Wireless Communication Systems and Technologies | Updated：2022-05-19

- Interference coordination in full-duplex HetNet with large-scale antenna arrays
- 大规模天线阵列下全双工异构网络的干扰协调
- Frontiers of Information Technology & Electronic Engineering Vol. 18, Issue 6, Pages: 830-840(2017)
- Affiliations：
  
  College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou 310027, China
- Author bio：
  
  ZHANG Zhao-yang, E-mail: ning_ming@zju.edu.cn
- Funds：
- DOI：10.1631/FITEE.1700047
  CLC： TN929.5
- Received：15 January 2017，
  
  Revised：2017-;6-;5，
  
  Published：2017-06
- Accepted：
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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.
DOI：

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. DOI： 10.1631/FITEE.1700047.

摘要

对于未来的第五代通信系统，干扰协调已经成为最具挑战性的问题，而大规模多输入多输出、小蜂窝和全双工技术均是在此背景下充满前景的技术。提出一个针对两层异构网络的干扰协调框架，该异构网络包含了一个装备大规模天线阵列的宏蜂窝基站和大量使用全双工技术的小蜂窝基站。因为带内全双工和带外全双工会产生不同的干扰模式，为了抑制干扰和最大化网络吞吐量，每个小蜂窝基站在无线回程链路的全双工模式都应慎重选择。为解决此模式选择问题，提出两种集中式算法，分别是遗传算法和贪心算法。此外，为了更充分降低宏蜂窝基站的计算开销，进一步提出一种基于代价的分布式图染色算法。仿真结果表明：提出的算法显著提高了系统吞吐量。

Abstract

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.

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