Resource-Hopping Based Grant-Free Multiple Access for 6G-Enabled Massive IoT Networks

Han Seung Jang, Bang Chul Jung, Tony Q.S. Quek, Dan Keun Sung

Research output: Contribution to journalArticlepeer-review

Abstract

Grant-free multiple access (GFMA) is an emerging technology to accommodate a massive number of devices for 6G-enabled Internet-of-things (IoT) networks. The main advantages of GFMA are to efficiently reduce control signaling overhead for resource scheduling while improving resource efficiency. In this paper, we propose a novel resource-hopping based GFMA (RH-GFMA) framework with resource hopping schemes for providing massive connectivity in 6G cellular IoT networks, where each IoT device is allowed to access physical radio resources by using a pre-assigned resource hopping pattern without not only resource request but also grant procedure, which is the so-called “one-shot" non-interactive multiple access. We exploit three types of resource hopping schemes in the proposed RH-GFMA framework: random hopping, resource group hopping, and Latin-square group hopping. We mathematically analyze the RH-GFMA system performance in terms of the hopping pattern collision probability, maximum allowable packet delay, and interference-over-thermal. Finally, we derive an accommodation capacity of the proposed RH-GFMA framework, which is defined as the expected number of IoT devices accommodated in a cell under a maximum allowable packet delay requirement and an interference-over-thermal constraint. With the proposed GFMA, massive IoT devices are expected to be efficiently accommodated in 6G wireless networks, while satisfying strict latency and reliability requirements.

Original languageEnglish
JournalIEEE Internet of Things Journal
DOIs
Publication statusAccepted/In press - 2021

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Information Systems
  • Hardware and Architecture
  • Computer Science Applications
  • Computer Networks and Communications

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