TY - GEN
T1 - Throughput aware and green energy aware user association in heterogeneous networks
AU - Fan, Qiang
AU - Ansari, Nirwan
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/7/28
Y1 - 2017/7/28
N2 - Greening information and communications technology is becoming an environmental and economic sine qua non, and has attracted much research attention. For a cellular network, base stations (BSs) incur more than 50% of the energy consumption of the whole network. Therefore, BSs can be powered by green energy to reduce its on-grid power consumption. Meanwhile, the throughput has always been a critical issue in cellular networks. Since the throughput and energy consumption mutually affect each other, saving on-grid power is at the cost of sacrificing a certain amount of throughput. In this paper, we propose a Throughput Aware and Green Energy aware user association (TAGE) scheme in heterogeneous cellular networks (HCNs) to optimize the trade-off between the throughput and on-grid power consumption. Meanwhile, we employ an energy-throughput coefficient α to control the energy-throughput tradeoff. The simulation results verify that TAGE improves the effective throughput and saves a significant amount of on-grid power for HCNs.
AB - Greening information and communications technology is becoming an environmental and economic sine qua non, and has attracted much research attention. For a cellular network, base stations (BSs) incur more than 50% of the energy consumption of the whole network. Therefore, BSs can be powered by green energy to reduce its on-grid power consumption. Meanwhile, the throughput has always been a critical issue in cellular networks. Since the throughput and energy consumption mutually affect each other, saving on-grid power is at the cost of sacrificing a certain amount of throughput. In this paper, we propose a Throughput Aware and Green Energy aware user association (TAGE) scheme in heterogeneous cellular networks (HCNs) to optimize the trade-off between the throughput and on-grid power consumption. Meanwhile, we employ an energy-throughput coefficient α to control the energy-throughput tradeoff. The simulation results verify that TAGE improves the effective throughput and saves a significant amount of on-grid power for HCNs.
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U2 - 10.1109/ICC.2017.7997211
DO - 10.1109/ICC.2017.7997211
M3 - Conference contribution
AN - SCOPUS:85028337343
T3 - IEEE International Conference on Communications
BT - 2017 IEEE International Conference on Communications, ICC 2017
A2 - Debbah, Merouane
A2 - Gesbert, David
A2 - Mellouk, Abdelhamid
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 IEEE International Conference on Communications, ICC 2017
Y2 - 21 May 2017 through 25 May 2017
ER -