Energy-efficient Resource Allocation Based on Multi-user Massive MIMO System

Hu Ying; Huang Yong-ming; Yu Fei; Yang Lu-xi

doi:10.11999/JEIT150088

Volume 37 Issue 9

Sep. 2015

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Article Navigation > Journal of Electronics & Information Technology > 2015 > 37(9): 2198-2203

Hu Ying, Huang Yong-ming, Yu Fei, Yang Lu-xi. Energy-efficient Resource Allocation Based on Multi-user Massive MIMO System[J]. Journal of Electronics & Information Technology, 2015, 37(9): 2198-2203. doi: 10.11999/JEIT150088

Citation:

Hu Ying, Huang Yong-ming, Yu Fei, Yang Lu-xi. Energy-efficient Resource Allocation Based on Multi-user Massive MIMO System[J]. Journal of Electronics & Information Technology, 2015, 37(9): 2198-2203. doi: 10.11999/JEIT150088

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Energy-efficient Resource Allocation Based on Multi-user Massive MIMO System

doi: 10.11999/JEIT150088

1.
2.
(School of Information Science and Engineering, Southeast University, Nanjing 210096, China)

Received Date: 2015-01-15
Rev Recd Date: 2015-05-12
Publish Date: 2015-09-19

Abstract

Abstract

An energy-efficient resource allocation scheme is proposed for multi-user massive MIMO mobile communication uplink system. A mathematical formulation of optimization issue is provided with the objective of maximizing system energy efficiency lower bound under the data rate of user and tolerable interference level constraint, meanwhile the Base Station (BS) uses a Maximum-Ratio Combining (MRC) receiver. By transforming the originally fractional optimization problem into an equivalent subtractive form using the properties of fractional programming, then convex optimization is adopted to maximize the energy efficiency. Specifically, both the numbers of antenna arrays at the BS and the transmit data rate at the user are adjusted. Simulation results show that the energy-efficiency difference between the proposed algorithm and the exhaustive algorithm is less than 9%, at the same time, the performance of spectral-efficiency of the proposed algorithm is very well and the complexity is significantly reduced.
- Wireless communication,
- Massive MIMO,
- Multi-user,
- Resource allocation,
- Uplink system,
- Energy- efficiency

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References(24)

References

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