Benders Decomposition Based Cooperative Energy-saving Mechanism in Wireless Networks

ZHENG Fei; LI Wenjing; YU Peng; FENG Lei; MENG Luoming

doi:10.11999/JEIT160387

Volume 39 Issue 2

Feb. 2017

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Article Navigation > Journal of Electronics & Information Technology > 2017 > 39(2): 367-373

ZHENG Fei, LI Wenjing, YU Peng, FENG Lei, MENG Luoming. Benders Decomposition Based Cooperative Energy-saving Mechanism in Wireless Networks[J]. Journal of Electronics & Information Technology, 2017, 39(2): 367-373. doi: 10.11999/JEIT160387

Citation:

ZHENG Fei, LI Wenjing, YU Peng, FENG Lei, MENG Luoming. Benders Decomposition Based Cooperative Energy-saving Mechanism in Wireless Networks[J]. Journal of Electronics & Information Technology, 2017, 39(2): 367-373. doi: 10.11999/JEIT160387

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Benders Decomposition Based Cooperative Energy-saving Mechanism in Wireless Networks

doi: 10.11999/JEIT160387

Funds:

The National 863 Program of China (2014AA01A701), The National Natural Science Foundation of China (61271187)

Received Date: 2016-04-20
Rev Recd Date: 2016-07-28
Publish Date: 2017-02-19

Abstract

Abstract

To reduce the energy consumption in wireless access networks, a Cooperative Energy-Saving Mechanism based on Benders Decomposition (BD-CESM) is presented to solve inadequate coverage problem caused by BS dormancy by means of cooperative BS selection and BS state control. A cooperative BS selection model is designed to obtain appropriate cooperative BS and corresponding dormant BS according to the traffic load distribution and the spatial varying SINR. Then a Benders decomposition based joint optimization strategy is proposed to balance capacity with throughout via controlling on-off state of BS. The simulation results show that up to 42.6% of BS can be dormant while meeting basic network performance requirements. Furthermore, the coverage can be compensated without increasing transmitting power in the proposed mechanism.
- Wireless network,
- Energy consumption,
- Benders decomposition,
- Cooperative BS,
- Joint optimization strategy

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References(17)

References

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