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Research output: Contribution to Journal/Magazine › Letter › peer-review
Research output: Contribution to Journal/Magazine › Letter › peer-review
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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 -