JOURNAL ARTICLE

Energy-Efficient NOMA-Enabled Traffic Offloading via Dual-Connectivity in Small-Cell Networks

Yuan WuLiping Qian

Year: 2017 Journal:   IEEE Communications Letters Vol: 21 (7)Pages: 1605-1608   Publisher: IEEE Communications Society

Abstract

The recent small-cell dual-connectivity (DC) in 3GPP specification enables a mobile user (MU) to communicate with the macrocell and offload traffic through a small cell, which facilitates a flexible traffic offloading. The advanced non-orthogonal multiple access (NOMA) further enables small/macro cells to simultaneously accommodate multiple MUs' offloading using the same channel, which improves spectrum-efficiency. In this letter, driven by the growing demand for greening cellular systems, we investigate the energy-efficient NOMA-enabled traffic offloading through DC, which aims to minimize the total power consumption of the small and macro cells, while satisfying each MU's QoS-requirement. The optimal traffic offloading corresponds to a two-sided power allocation problem, which, however, is nonconvex. By exploiting the feature of DC, we equivalently transform this power allocation problem into a convex rate-splitting problem, which can be efficiently solved. Numerical results are provided to validate the advantage in saving power consumption by using the proposed optimal NOMA-enabled traffic offloading scheme.

Keywords:
Macrocell Computer science Cellular network Computer network Quality of service Energy consumption Cellular traffic Small cell Transmitter power output Efficient energy use Noma Throughput Wireless Base station Channel (broadcasting) Telecommunications link Telecommunications Engineering

Metrics

39
Cited By
3.44
FWCI (Field Weighted Citation Impact)
13
Refs
0.94
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Citation History

Topics

Advanced Wireless Communication Technologies
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Advanced MIMO Systems Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
IoT Networks and Protocols
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
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