A Spectrum-Sharing Approach in Heterogeneous Networks Based on Multi-Objective Optimization

Runze WU  Jiajia ZHU  Liangrui TANG  Chen XU  Xin WU  

IEICE TRANSACTIONS on Communications   Vol.E100-B   No.7   pp.1145-1151
Publication Date: 2017/07/01
Online ISSN: 1745-1345
DOI: 10.1587/transcom.2016EBP3293
Type of Manuscript: PAPER
Category: Wireless Communication Technologies
spectrum sharing,  heterogeneous networks,  interference,  multi-objective optimization,  nondominated sorting genetic algorithm version II,  

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Deploying low power nodes (LPNs), which reuse the spectrum licensed to a macrocell network, is considered to be a promising way to significantly boost network capacity. Due to the spectrum-sharing, the deployment of LPNs could trigger the severe problem of interference including intra-tier interference among dense LPNs and inter-tier interference between LPNs and the macro base station (MBS), which influences the system performance strongly. In this paper, we investigate a spectrum-sharing approach in the downlink for two-tier networks, which consists of small cells (SCs) with several LPNs and a macrocell with a MBS, aiming to mitigate the interference and improve the capacity of SCs. The spectrum-sharing approach is described as a multi-objective optimization problem. The problem is solved by the nondominated sorting genetic algorithm version II (NSGA-II), and the simulations show that the proposed spectrum-sharing approach is superior to the existing one.