A Survey on Mobile Augmented Reality With 5G Mobile Edge Computing: Architectures, Applications, and Technical Aspects

By Yushan Siriwardhana, Pawani Porambage, Madhusanka Liyanage, Mika E. Ylianttila. IEEE Communications Surveys and Tutorials, 2021

561 citations recorded by the source corpus.

The Augmented Reality (AR) technology enhances the human perception of the world by combining the real environment with the virtual space. With the explosive growth of powerful, less expensive mobile devices, and the emergence of sophisticated communication infrastructure, Mobile Augmented Reality (MAR) applications are gaining increased popularity. MAR allows users to run AR applications on mobile devices with greater mobility and at a lower cost. The emerging 5G communication technologies act as critical enablers for future MAR applications to achieve ultra-low latency and extremely high data rates while Multi-access Edge Computing (MEC) brings enhanced computational power closer to the users to complement MAR. This paper extensively discusses the landscape of MAR through the past and its future prospects with respect to the 5G systems and complementary technology MEC. The paper especially provides an informative analysis of the network formation of current and future MAR systems in terms of cloud, edge, localized, and hybrid architectural options. The paper discusses key application areas for MAR and their future with the advent of 5G technologies. The paper also discusses the requirements and limitations of MAR technical aspects such as communication, mobility management, energy management, service offloading and migration, security, and privacy and analyzes the role of 5G technologies.

Subfields: Computer Networks and Communications, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/107b09b10b352154c51af2f9e4e2e8ab3e0c0531

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

  1. Madhusanka Liyanage
  2. Pawani Porambage
  3. Shalitha Wijethilaka
  4. Zehui Xiong
  5. Mika E. Ylianttila
  6. Jiawen Kang
  7. Xuemin Shen
  8. Qiang Yang

In Computer Vision and Pattern Recognition

  1. Madhusanka Liyanage
  2. Carlos Bermejo
  3. Minrui Xu
  4. Quoc-Viet Pham
  5. Xuemin Shen
  6. Jiawen Kang
  7. Qiang Yang
  8. Chunyan Miao

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