Joint Congestion Control and Resource Allocation Dynamic Scheduling Strategy for Network Slices in Heterogeneous Cloud Raido Access Network

Lun TANG; Yannan WEI; Qi TAN; Rui TANG; Qianbin CHEN

doi:10.11999/JEIT190439

Volume 42 Issue 5

Jun. 2020

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Article Navigation > Journal of Electronics & Information Technology > 2020 > 42(5): 1244-1252

Lun TANG, Yannan WEI, Qi TAN, Rui TANG, Qianbin CHEN. Joint Congestion Control and Resource Allocation Dynamic Scheduling Strategy for Network Slices in Heterogeneous Cloud Raido Access Network[J]. Journal of Electronics & Information Technology, 2020, 42(5): 1244-1252. doi: 10.11999/JEIT190439

Citation:

Lun TANG, Yannan WEI, Qi TAN, Rui TANG, Qianbin CHEN. Joint Congestion Control and Resource Allocation Dynamic Scheduling Strategy for Network Slices in Heterogeneous Cloud Raido Access Network[J]. Journal of Electronics & Information Technology, 2020, 42(5): 1244-1252. doi: 10.11999/JEIT190439

Citation:

Lun TANG, Yannan WEI, Qi TAN, Rui TANG, Qianbin CHEN. Joint Congestion Control and Resource Allocation Dynamic Scheduling Strategy for Network Slices in Heterogeneous Cloud Raido Access Network[J]. Journal of Electronics & Information Technology, 2020, 42(5): 1244-1252. doi: 10.11999/JEIT190439

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Joint Congestion Control and Resource Allocation Dynamic Scheduling Strategy for Network Slices in Heterogeneous Cloud Raido Access Network

doi: 10.11999/JEIT190439

1.
Key Laboratory of Mobile Communication Technology, School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
2.
School of Measurement and Control Technology and Instruments, Chongqing University, Chongqing 400044, 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: 2019-06-17
Rev Recd Date: 2020-01-03

Available Online: 2020-01-11

Publish Date: 2020-06-04

Abstract

Abstract

For online dynamic radio resources optimization for network slices in Heterogeneous Cloud Raido Access Network (H-CRAN), by comprehensively considering traffic admission control, congestion control, resource allocation and reuse, the problem is formulated as a stochastic optimization programming which maximizes network average total throughput subject to Base Station (BS) transmit power, system stability, Quality of Service (QoS) requirements of different slices and resource allocation constraints. Then, a joint congestion control and resource allocation dynamic scheduling algorithm is proposed which will dynamically allocate resources to users in network slices with distinct performance requirements within each resource scheduling time slot. The simulation results show that the proposed algorithm can improve the network overall throughput while satisfying the QoS requirement of each slice user and maintaining network stability. Besides, it could also flexibly strike a dynamic balance between delay and throughput by simply tuning an introduced control parameter.
- Heterogeneous Cloud Raido Access Network (H-CRAN),
- Network Slice (NS),
- Resource allocation,
- Lyapunov stochastic optimization

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References(16)

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