5G Multi-Band Numerology-Based TDD RAN Slicing for Throughput and Latency Sensitive Services

Abdullah Hossain, Nirwan Ansari

Research output: Contribution to journalArticlepeer-review

Abstract

This paper extensively examines the impact of the numerology schemes on a sliced TDD radio access network. The slices are multiplexed over both the sub-6 GHz and mmWave bands. The incorporation of numerology schemes into network slicing, the impact of which has yet to be explored, will be highly instrumental in realizing the future 5G and 6G networks. Thus, this work demonstrates the enhanced capabilities of sliced networks utilizing numerology. To that end, two optimization problems are formulated, one to maximize the downlink average spectral efficiency of a throughput-sensitive slice, and the other to minimize the uplink transmission power of the users of the latency-sensitive slice. This work optimizes key parameters such as duplex ratio, numerology scheme and optimally allocates power and bandwidth under numerology-enabled slicing. The comparative analyses highlight that for high-throughput applications, lower numerology schemes are significantly more spectrally efficient and can often achieve throughputs characteristic of higher schemes. On the other hand, the higher schemes are the best choice for the minimization of user transmission power and latency, which are crucial in energy-efficient communications and edge computing applications, respectively.

Original languageEnglish (US)
JournalIEEE Transactions on Mobile Computing
DOIs
StateAccepted/In press - 2021

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Networks and Communications
  • Electrical and Electronic Engineering

Keywords

  • Bandwidth
  • Downlink
  • edge computing
  • FDM
  • Frequency division multiplexing
  • latency
  • mmWave
  • Network slicing
  • New Radio
  • numerology
  • Radio access networks
  • slicing
  • spectral efficiency
  • TDD
  • throughput
  • Throughput
  • Ultra reliable low latency communication

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