A review on ultra reliable and low latency communications (PHY and MAC layer perspectives)

Prinu Chacko Philip, Mohammed Abdel-Hafez

Research output: Contribution to journalReview articlepeer-review

1 Citation (Scopus)

Abstract

Fifth Generation (5G) wireless network plays major attention in the communication scenario due to the advanced features in data transmission. 5G is designed to overcome the issues, such as data rate, reliability, throughput, latency and capacity in the wireless network domains. The 5G wireless services aim to increase the data rate through massive communication services. In this survey, well known research papers based on low latency communication at the Physical layer (PHY) and Medium Access Control layer (MAC) are reviewed based on the Ultra-Reliable Low Latency Communication (URLLC) perspective. Here, the communication techniques are categorized as, structure-based model, resource reuse-based techniques, radio resource management techniques, scheduling based approach, diversity-based techniques and network slicing model based on the purpose of data communication. The issues and challenges faced by the existing research works are reviewed and discussed in the research gaps and issues section. Moreover, the analysis carried out in this survey is based on the evaluation parameters, network layer, network parameters, system, purpose and simulation toolsets. The future work of the URLLC research is based on the issues collected from the recent research papers reviewed in this study.

Original languageEnglish
Pages (from-to)1100-1114
Number of pages15
JournalJournal of Computer Science
Volume16
Issue number8
DOIs
Publication statusPublished - 2020

Keywords

  • Cellular network
  • Medium access control
  • Mobility management
  • Network slicing
  • Wireless communication

ASJC Scopus subject areas

  • Software
  • Computer Networks and Communications
  • Artificial Intelligence

Fingerprint

Dive into the research topics of 'A review on ultra reliable and low latency communications (PHY and MAC layer perspectives)'. Together they form a unique fingerprint.

Cite this