Heterogeneous Statistical-QoS Driven Resource Allocation over mmWave Massive-MIMO Based 5G Mobile Wireless Networks in the Non-Asymptotic Regime

Xi Zhang, Jingqing Wang, H. Vincent Poor

Research output: Contribution to journalArticle

1 Scopus citations

Abstract

The statistical delay-bounded quality-of-service (QoS) theory has been developed to efficiently support multimedia transmissions over 5G wireless networks. On the other hand, unlike in Shannon's information-theoretic formalism requiring infinite blocklength, finite blocklength coding (FBC) has recently emerged for error control in the non-asymptotic regime, guaranteeing stringent statistical QoS requirements in terms of both latency and reliability for ultra-reliable low-latency communications (URLLC) in 5G services. Moreover, integrated with FBC, millimeter wave (mmWave) massive multi-input multi-output (m-MIMO) schemes have been designed to significantly improve the performance in guaranteeing delay/error-rate bounded QoS. However, due to the complexity of modeling and solving the optimization problems over mmWave m-MIMO fading channels in the non-asymptotic error-control regime, it is challenging to derive an optimal resource allocation policy for maximizing ϵ-effective capacity to guarantee statistical delay/error-rate bounded QoS. To overcome the above problems, in this paper we propose heterogeneous statistical-QoS driven resource allocation policies for mmWave m-MIMO based 5G wireless networks in both asymptotic and non-asymptotic regimes. In particular, we develop an mmWave m-MIMO based 5G wireless networks model to optimize the effective capacity for our proposed schemes. Our simulations show that our proposed schemes outperform the existing schemes in guaranteeing heterogeneous statistical delay/error-rate bounded QoS.

Original languageEnglish (US)
Article number8880663
Pages (from-to)2727-2743
Number of pages17
JournalIEEE Journal on Selected Areas in Communications
Volume37
Issue number12
DOIs
StatePublished - Dec 2019

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

Keywords

  • 5G
  • D2D
  • FBC
  • Heterogeneous QoS
  • mmWave m-MIMO
  • non-asymptotic regime
  • ϵ-effective capacity

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