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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.
Keywords
Massive MIMO
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Full-duplex
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Small cell
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Wireless backhaul
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Distributed algorithm
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Zhao-yang ZHANG, Wei LYU.
Interference coordination in full-duplex HetNet with large-scale antenna arrays.
Front. Inform. Technol. Electron. Eng, 2017, 18(6): 830-840 DOI:10.1631/FITEE.1700047
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