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

Runze WU; Jiajia ZHU; Liangrui TANG; Chen XU; Xin WU

doi:10.1587/transcom.2016EBP3293

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

Runze WU, Jiajia ZHU, Liangrui TANG, Chen XU, Xin WU

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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.

Publication: IEICE TRANSACTIONS on Communications Vol.E100-B No.7 pp.1145-1151

Publication Date: 2017/07/01

Publicized: 2016/12/27

Online ISSN: 1745-1345

DOI: 10.1587/transcom.2016EBP3293

Type of Manuscript: PAPER

Category: Wireless Communication Technologies

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Runze WU, Jiajia ZHU, Liangrui TANG, Chen XU, Xin WU, "A Spectrum-Sharing Approach in Heterogeneous Networks Based on Multi-Objective Optimization" in IEICE TRANSACTIONS on Communications, vol. E100-B, no. 7, pp. 1145-1151, July 2017, doi: 10.1587/transcom.2016EBP3293.
Abstract: 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.
URL: https://globals.ieice.org/en_transactions/communications/10.1587/transcom.2016EBP3293/_p

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@ARTICLE{e100-b_7_1145,
author={Runze WU, Jiajia ZHU, Liangrui TANG, Chen XU, Xin WU, },
journal={IEICE TRANSACTIONS on Communications},
title={A Spectrum-Sharing Approach in Heterogeneous Networks Based on Multi-Objective Optimization},
year={2017},
volume={E100-B},
number={7},
pages={1145-1151},
abstract={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.},
keywords={},
doi={10.1587/transcom.2016EBP3293},
ISSN={1745-1345},
month={July},}

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TY - JOUR
TI - A Spectrum-Sharing Approach in Heterogeneous Networks Based on Multi-Objective Optimization
T2 - IEICE TRANSACTIONS on Communications
SP - 1145
EP - 1151
AU - Runze WU
AU - Jiajia ZHU
AU - Liangrui TANG
AU - Chen XU
AU - Xin WU
PY - 2017
DO - 10.1587/transcom.2016EBP3293
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E100-B
IS - 7
JA - IEICE TRANSACTIONS on Communications
Y1 - July 2017
AB - 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.
ER -