A User Association Algorithm for Maximizing Energy Efficiency with Human-to-Human and Machine-to-Machine Coexistence

Hui TIAN; Cong WANG; Wenfeng MA; Yi ZHU; Yutian CHEN

doi:10.11999/JEIT200995

Volume 43 Issue 10

Oct. 2021

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Hui TIAN, Cong WANG, Wenfeng MA, Yi ZHU, Yutian CHEN. A User Association Algorithm for Maximizing Energy Efficiency with Human-to-Human and Machine-to-Machine Coexistence[J]. Journal of Electronics & Information Technology, 2021, 43(10): 2902-2910. doi: 10.11999/JEIT200995

Citation:

Hui TIAN, Cong WANG, Wenfeng MA, Yi ZHU, Yutian CHEN. A User Association Algorithm for Maximizing Energy Efficiency with Human-to-Human and Machine-to-Machine Coexistence[J]. Journal of Electronics & Information Technology, 2021, 43(10): 2902-2910. doi: 10.11999/JEIT200995

Citation:

Hui TIAN, Cong WANG, Wenfeng MA, Yi ZHU, Yutian CHEN. A User Association Algorithm for Maximizing Energy Efficiency with Human-to-Human and Machine-to-Machine Coexistence[J]. Journal of Electronics & Information Technology, 2021, 43(10): 2902-2910. doi: 10.11999/JEIT200995

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A User Association Algorithm for Maximizing Energy Efficiency with Human-to-Human and Machine-to-Machine Coexistence

doi: 10.11999/JEIT200995

College of Field Engineering, Army Engineering University, Nanjing 210007, China

Funds: The National Natural Science Foundation of China (62001515, 61771486), Jiangsu Planned Projects for Postdoctoral Research Funds (2019K090)

Received Date: 2020-11-23
Rev Recd Date: 2021-04-01

Available Online: 2021-04-25

Publish Date: 2021-10-18

Abstract

Abstract

In this paper, a match theory based uplink user association algorithm is proposed for maximizing energy efficiency and guaranteeing Quality of Service (QoS) requirements in a ultra-dense heterogeneous cellular networks with Human-to-Human (H2H) and Machine-to-Machine (M2M) coexistence. To maximize energy efficiency, balance load and guarantee QoS, simultaneously, the algorithm considers two access mechanisms for different types of node. Simulation results show that the proposed algorithm not only outperforms existing schemes in terms of the overall energy efficiency, the load balance and QoS guarantees, but also achieves the same performance as exhaustive search. Furthermore, the convergence speed of the algorithm is very fast, and is not affected by the number of base stations and nodes. Thus, the algorithm is suitable to solve the problem of user association, while considering the networks with H2H and M2M coexistence.

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References(16)

References

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