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Energy and spectral efficiency tradeoff with user association and power coordination in massive MIMO enabled HetNets

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Energy and spectral efficiency tradeoff with user association and power coordination in massive MIMO enabled HetNets. / Hao, Yuanyuan; Ni, Qiang; Li, Hai; Hou, Shujuan.

In: IEEE Communications Letters, Vol. 20, No. 10, 10.2016, p. 2091-2094.

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Hao, Yuanyuan ; Ni, Qiang ; Li, Hai ; Hou, Shujuan. / Energy and spectral efficiency tradeoff with user association and power coordination in massive MIMO enabled HetNets. In: IEEE Communications Letters. 2016 ; Vol. 20, No. 10. pp. 2091-2094.

Bibtex

@article{4c44e62b44c741e9a7c637579ef59ead,
title = "Energy and spectral efficiency tradeoff with user association and power coordination in massive MIMO enabled HetNets",
abstract = "In this letter, we investigate the tradeoff between energy efficiency (EE) and spectral efficiency (SE) while ensuring proportional rate fairness in massive multiple-input multiple-output enabled heterogenous networks, where user association and power coordination are jointly considered. It is first formulated as a multi-objective optimization problem, and then transformed into a single-objective optimization problem. To solve this mixed-integer non-convex problem, an effective algorithm is developed, where the original problem is separated into lower level power coordination problem and master user association problem. Simulation results verify that our proposed algorithm can significantly improve the performance of EE-SE tradeoff and obtain higher rate fairness compared with other algorithms.",
keywords = "MIMO communication, energy conservation, telecommunication power management, energy efficiency, massive MIMO enabled HetNets, multi-objective optimization, multiple-input multiple-output enabled heterogenous networks, power coordination, single-objective optimization, spectral efficiency, user association, Antenna arrays, Downlink, Interference, MIMO, Optimization, Power demand, Programming, Energy efficiency, HetNets, massive MIMO",
author = "Yuanyuan Hao and Qiang Ni and Hai Li and Shujuan Hou",
note = "{\circledC}2016 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.",
year = "2016",
month = "10",
doi = "10.1109/LCOMM.2016.2597832",
language = "English",
volume = "20",
pages = "2091--2094",
journal = "IEEE Communications Letters",
issn = "1089-7798",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "10",

}

RIS

TY - JOUR

T1 - Energy and spectral efficiency tradeoff with user association and power coordination in massive MIMO enabled HetNets

AU - Hao, Yuanyuan

AU - Ni, Qiang

AU - Li, Hai

AU - Hou, Shujuan

N1 - ©2016 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

PY - 2016/10

Y1 - 2016/10

N2 - In this letter, we investigate the tradeoff between energy efficiency (EE) and spectral efficiency (SE) while ensuring proportional rate fairness in massive multiple-input multiple-output enabled heterogenous networks, where user association and power coordination are jointly considered. It is first formulated as a multi-objective optimization problem, and then transformed into a single-objective optimization problem. To solve this mixed-integer non-convex problem, an effective algorithm is developed, where the original problem is separated into lower level power coordination problem and master user association problem. Simulation results verify that our proposed algorithm can significantly improve the performance of EE-SE tradeoff and obtain higher rate fairness compared with other algorithms.

AB - In this letter, we investigate the tradeoff between energy efficiency (EE) and spectral efficiency (SE) while ensuring proportional rate fairness in massive multiple-input multiple-output enabled heterogenous networks, where user association and power coordination are jointly considered. It is first formulated as a multi-objective optimization problem, and then transformed into a single-objective optimization problem. To solve this mixed-integer non-convex problem, an effective algorithm is developed, where the original problem is separated into lower level power coordination problem and master user association problem. Simulation results verify that our proposed algorithm can significantly improve the performance of EE-SE tradeoff and obtain higher rate fairness compared with other algorithms.

KW - MIMO communication

KW - energy conservation

KW - telecommunication power management

KW - energy efficiency

KW - massive MIMO enabled HetNets

KW - multi-objective optimization

KW - multiple-input multiple-output enabled heterogenous networks

KW - power coordination

KW - single-objective optimization

KW - spectral efficiency

KW - user association

KW - Antenna arrays

KW - Downlink

KW - Interference

KW - MIMO

KW - Optimization

KW - Power demand

KW - Programming

KW - Energy efficiency

KW - HetNets

KW - massive MIMO

U2 - 10.1109/LCOMM.2016.2597832

DO - 10.1109/LCOMM.2016.2597832

M3 - Letter

VL - 20

SP - 2091

EP - 2094

JO - IEEE Communications Letters

JF - IEEE Communications Letters

SN - 1089-7798

IS - 10

ER -