QoS-Oriented joint optimization of resource allocation and concurrent scheduling in 5G millimeter-wave network

Zhongyu Ma, Bo Li, Zhongjiang Yan, Mao Yang

Research output: Contribution to journalArticlepeer-review

19 Scopus citations

Abstract

With the mature application of massive MIMO, challenges for massive backhaul data and ubiquitous user access in future mobile communication are effectively coped with the potential technology of millimeter wave integrated backhaul and access network (mm-wave IBAN). In order to fully exploit mm-wave directional transmission gain, how to improve the concurrent transmission performance of mm-wave IBAN through effective scheduling scheme under the consideration of resource allocation between the backhaul and access link is an intractable issue. In this paper, an enhanced reverse-TDD frame is designed for mm-wave IBAN, and the QoS-oriented joint optimization problem of resource allocation and concurrent scheduling between backhaul and access link is deeply investigated, where the number of the QoS-satisfied transmission flows is maximized. To obtain a pragmatic solution, a joint resource allocation and concurrent scheduling algorithm is proposed. In the proposed algorithm, the whole transmission duration in each scheduling period is divided into several stages and the transmission flows are partitioned into groups according to the designed QoS-aware priority, then bandwidth resources between backhaul and access in each stage are allocated. The transmission duration of each scheduled flow is determined finally. Performance evaluation of proposed algorithm is verified with extensive simulations in 60 GHz mm-wave IBAN under various system parameters. It is demonstrated that significant enhancements in terms of the network throughput and the number of the successful transmission flows are achieved in the proposed algorithm when compared with other state-of-the-art schemes.

Original languageEnglish
Article number106979
JournalComputer Networks
Volume166
DOIs
StatePublished - 15 Jan 2020

Keywords

  • Concurrent scheduling
  • Joint optimization
  • mm-wave IBAN
  • QoS-Oriented
  • Resource allocation

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