Statistical QoS-Driven Energy-Efficiency optimization for URLLC over 5G Mobile Wireless Networks in the Finite Blocklength Regime

Xi Zhang, Jingqing Wang, H. Vincent Poor

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

To support delay-bounded multimedia services over 5G mobile wireless networks, the statistical quality-of-service (QoS) technique has been designed to jointly guarantee the statistically delay-bounded video transmissions over different time-varying wireless channels, simultaneously. On the other hand, with stringent delay-bounded and error-rate-bounded QoS requirements for 5G applications, the traditional Shannon capacity is no longer appropriate to characterize the maximum achievable data transmission rate given the block error probability. Towards this end, the finite blocklength coding (FBC) technique has been developed to support the new type of Ultra-Reliable and Low Latency Communications (URLLC). However, since the existing approximations of the transmission rate are neither convex nor concave in terms of the transmit power in the finite blocklength regime, it is challenging to formulate and solve the resource allocation optimization problems for URLLC over various different wireless fading channels while guaranteeing the statistical delay-bounded QoS requirements. To overcome the aforementioned problems, we propose the energy efficient FBC based cross-layer design while guaranteeing the statistical delay-bounded QoS requirements for URLLC. In particular, we establish and analyze FBC based wireless network models. By taking into account the statistical delay-bounded QoS constraints, we formulate and solve the ϵ-effective energy efficiency optimization problem using FBC. Also conducted is a set of simulations which validate and evaluate our proposed FBC scheme under the statistical delay-bounded QoS constraints for URLLC.

Original languageEnglish (US)
Title of host publication2019 53rd Annual Conference on Information Sciences and Systems, CISS 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728111513
DOIs
StatePublished - Apr 16 2019
Event53rd Annual Conference on Information Sciences and Systems, CISS 2019 - Baltimore, United States
Duration: Mar 20 2019Mar 22 2019

Publication series

Name2019 53rd Annual Conference on Information Sciences and Systems, CISS 2019

Conference

Conference53rd Annual Conference on Information Sciences and Systems, CISS 2019
CountryUnited States
CityBaltimore
Period3/20/193/22/19

All Science Journal Classification (ASJC) codes

  • Information Systems

Keywords

  • 5G multimedia mobile wireless networks
  • Statistical delay-bounded quality of service (QoS)
  • URLLC
  • finite blocklength coding
  • ϵ-effective capacity

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