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Performance Analysis of an Energy-Efficient Clustering Algorithm for Coordination Networks

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Abstract

The mechanism of Coordinated Multi-Point (CoMP) can improve the spectral efficiency of the 4G and 5G cellular network, and also can reduce transmitting power of base stations (BSs). However, CoMP requires a large amount of energy due to extra signal processing and backhaul traffic. In this paper, an energy-efficient algorithm based on optimal dynamic clustering mechanism (ODCEM) for CoMP networks is proposed, which aims to minimize the overall network energy consumption. In the ODCEM, cells are pre-ordered in descending order according to their traffic load increments. The cell with lowest load increment is selected to switch off. Then, users in selected cell are handed over to other neighboring cells if quality of service (QoS) for users can be guaranteed. After that, the selected cell is switched off to conserve network energy. The remaining cells in each CoMP cluster will be evaluated after the previous order is updated. The simulation results show that the energy efficiency of ODCEM schemes is significantly higher than that of fixed CoMP algorithm in terms of SINR and traffic loads. Furthermore, the ODCEM algorithm can achieve better energy efficiency with lower computational complexity according to the performance evaluation of user association and BS switching off.

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Acknowledgments

This work is partially supported by National Natural Science Foundation of China (Nos. 61427801 and 61872423), the Ministry of Education China Mobile Research Foundation, China (No. MCM20170205), the Communication Science Research Project of Ministry of Industry and Information Technology, China (No. 2019-R-26), the Six talent peaks project of Jiangsu Province (No. DZXX-008), the Postdoctoral Science Foundation, China (Nos. 2019M661900 and 2019K026) and the NUPTSF (Grant No. NY217146 and NY220028).

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Authors and Affiliations

  1. Jiangsu Key Laboratory of Broadband Wireless Communication and Internet of Things, Nanjing University of Posts and Telecommunications, Nanjing, 210003, China

    Fei Ding & Dengyin Zhang

  2. Jiangsu Key Laboratory of Wireless Communications, Nanjing University of Posts and Telecommunications, Nanjing, 210003, China

    Fei Ding, Dengyin Zhang & Hongbo Zhu

  3. China Mobile Group Jiangsu Co.,Ltd., Nanjing, 210029, China

    Yan Lu

  4. National Mobile Communications Research Laboratory, Southeast University, Nanjing, 210096, China

    Zhiwen Pan

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  1. Fei Ding
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  2. Yan Lu
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  3. Zhiwen Pan
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  4. Dengyin Zhang
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  5. Hongbo Zhu
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Correspondence to Fei Ding.

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Ding, F., Lu, Y., Pan, Z. et al. Performance Analysis of an Energy-Efficient Clustering Algorithm for Coordination Networks. Mobile Netw Appl 25, 1632–1643 (2020). https://doi.org/10.1007/s11036-020-01573-9

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  • DOI: https://doi.org/10.1007/s11036-020-01573-9

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