Joint Admission Control and Resource Allocation Algorithm for Access and Backhaul Integrated Small Base Station

Lun TANG; Runlin MA; Yunlong LIU; Yaowei WANG; Qianbin CHEN

doi:10.11999/JEIT180357

Volume 41 Issue 6

Jun. 2019

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Article Navigation > Journal of Electronics & Information Technology > 2019 > 41(6): 1389-1396

Lun TANG, Runlin MA, Yunlong LIU, Yaowei WANG, Qianbin CHEN. Joint Admission Control and Resource Allocation Algorithm for Access and Backhaul Integrated Small Base Station[J]. Journal of Electronics & Information Technology, 2019, 41(6): 1389-1396. doi: 10.11999/JEIT180357

Citation:

Lun TANG, Runlin MA, Yunlong LIU, Yaowei WANG, Qianbin CHEN. Joint Admission Control and Resource Allocation Algorithm for Access and Backhaul Integrated Small Base Station[J]. Journal of Electronics & Information Technology, 2019, 41(6): 1389-1396. doi: 10.11999/JEIT180357

Citation:

Lun TANG, Runlin MA, Yunlong LIU, Yaowei WANG, Qianbin CHEN. Joint Admission Control and Resource Allocation Algorithm for Access and Backhaul Integrated Small Base Station[J]. Journal of Electronics & Information Technology, 2019, 41(6): 1389-1396. doi: 10.11999/JEIT180357

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Joint Admission Control and Resource Allocation Algorithm for Access and Backhaul Integrated Small Base Station

doi: 10.11999/JEIT180357

1.
School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
2.
Key Laboratory of Mobile Communication Technology, Chongqing University of Post and Telecommunications, Chongqing 400065, China

Funds: The National Natural Science Foundation of China (61571073), The Science and Technology Research Program of Chongqing Municipal Education Commission (KJZD-M201800601)

Received Date: 2018-04-18
Rev Recd Date: 2019-02-16

Available Online: 2019-03-05

Publish Date: 2019-06-01

Abstract

Abstract

To maximize the long-term spectral efficiency and energy efficiency of a full duplex wireless access and backhaul integrated small base station scene, approximate dynamic programming based joint admission control and resource allocation optimization algorithm is proposed. The algorithm firstly considers the resource usage and power configuration of the current base station, the dynamic demand of user, the constraints of average delay as well as backhaul rate and transmission power. The corresponding multi-objective optimization model of maximum spectrum efficiency and minimizes power consumption is established by using the Constrained Markov Decision Process(CMDP). Then, the Chebyshev theory is used to transform the multi-objective into a single-objective optimization, and the Lagrange dual decomposition method is then used to convert the single-objective problem into unrestricted Markov decision process problem. Finally, To solve the " dimension disaster” explosion that generated when solving this unrestricted Markov Decision Process(MDP) problem, a dynamic resource allocation algorithms based on approximate dynamic programming is presented, and the access and resource allocation strategy is obtained during this process. The simulation results show that the algorithm can maximize the long-term average spectrum efficiency and energy efficiency, within the constraints of the average delay, backhaul rate and transmission power, under the scenario of integrated access and backhaul small base station.

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References

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