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Multi-Access Edge Computing (MEC) Based on MIMO: A Survey.

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This study reviews multi-access edge computing (MEC) integrated with massive multiple-input multiple-output (mMIMO) technology. It explores how mMIMO enhances MEC for demanding applications, addressing future research directions.

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Area of Science:

  • Wireless Communication
  • Edge Computing
  • Antenna Array Technology

Background:

  • Intelligent applications and wireless advancements necessitate greater data communication and computing power.
  • Multi-access edge computing (MEC) moves cloud services to the network edge for demanding applications.
  • Massive multiple-input multiple-output (mMIMO) significantly boosts system capacity using large antenna arrays.

Purpose of the Study:

  • To investigate and summarize the current research on integrating MIMO technology with MEC.
  • To analyze the state-of-the-art in MIMO-enhanced MEC systems.
  • To identify future research challenges and directions in this field.

Main Methods:

  • Summarizing a scalable multi-base station cooperative mMIMO-MEC model.
  • Comprehensively analyzing existing research from multiple perspectives.
  • Comparing and synthesizing current works on MIMO-MEC.

Main Results:

  • The integration of MIMO into MEC leverages energy and spectral efficiency for time-sensitive applications.
  • This integration accommodates more users and manages escalating data traffic.
  • A structured analysis categorizes research by scenarios, applications, metrics, and algorithms.

Conclusions:

  • MIMO-MEC presents a promising computing paradigm for future wireless networks.
  • The review highlights key research areas and identifies open challenges.
  • Future research should focus on addressing identified challenges to advance MIMO-MEC technology.