JOURNAL ARTICLE

Towards Throughput Aware and Energy Aware Traffic Load Balancing in Heterogeneous Networks with Hybrid Power Supplies

Qiang FanNirwan Ansari

Year: 2018 Journal:   IEEE Transactions on Green Communications and Networking Vol: 2 (4)Pages: 890-898   Publisher: Institute of Electrical and Electronics Engineers

Abstract

Green communications has attracted much research attention for its environmental and economic benefits. 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 effective data rate (EDR) of a user's flow, which depends on both the user's channel condition and its BS's workload status, is an important metric for user performance. From the perspectives of a mobile provider, both the aggregated EDR (sum of EDRs of all users within the coverage area of a macro BS) and on-grid energy consumption should be taken into account in the traffic load balancing process. Therefore, we propose a throughput aware and energy aware (TEA) traffic load balancing scheme for heterogeneous cellular networks to optimize the above two metrics. Since the EDR and energy consumption mutually affect each other, saving on-grid power is at the cost of sacrificing a certain loss of EDR. Thus, we employ an energy-throughput coefficient α to adjust the tradeoff between the two metrics based on the mobile provider's practical requirements. Simulation results demonstrate that TEA improves the aggregated EDR and significantly saves on-grid power.

Keywords:
Computer science Energy consumption Throughput Load balancing (electrical power) Efficient energy use Base station Workload Cellular network Computer network Grid Distributed computing Wireless Telecommunications Engineering

Metrics

21
Cited By
1.84
FWCI (Field Weighted Citation Impact)
29
Refs
0.87
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced MIMO Systems Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Advanced Wireless Network Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Cooperative Communication and Network Coding
Physical Sciences →  Computer Science →  Computer Networks and Communications
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