A survey on essential challenges in relay-aided D2D communication for next-generation cellular networks

Mahmoud M. Salim, Hussein A. Elsayed, Mohamed S. Abdalzaher*

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

26 Scopus citations

Abstract

Device-to-device (D2D) communication was originally presented as an efficient solution to boost conventional cellular network performance. Since the signals degrade among devices when separated by long distances, the relay-aided D2D communication appeared to enhance the coverage quality in either one-way relaying (OWR) or two-way relaying (TWR). To achieve reliable relay-aided D2D communication, the spectrum and power resources should be allocated optimally. Also, the energy harvesting (EH) technology can play an important role to improve the system energy efficiency (EE) by exploiting the radio frequency (RF) and renewable energy (RE) sources. In this paper, a comprehensive literature on the state-of-art OWR and TWR D2D communication techniques is presented. This includes the most recent power allocation (PA), resource allocation (RA), relay selection (RS), and EH techniques. The paper also shows that machine learning (ML) is the future of sixth-generation (6G) networks due to its intelligence facilities. Accordingly, we shed the light on the most important contributions of using reinforcement learning (RL) in relay-aided D2D communication. Last but not least, we highlight the research challenges and future directions for the next generation relay-aided D2D communication.

Original languageEnglish
Article number103657
JournalJournal of Network and Computer Applications
Volume216
DOIs
StatePublished - Jul 2023
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2023 Elsevier Ltd

Keywords

  • Device-to-device
  • Energy harvesting
  • Machine learning
  • Relay selection
  • Relay-aided
  • Resource allocation

ASJC Scopus subject areas

  • Hardware and Architecture
  • Computer Science Applications
  • Computer Networks and Communications

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