5GEAR: 5G Edge Computing Enhanced Augmented Reality

Project description

Mobile Augmented Reality (MAR) is gaining popularity due to the wide adoption of mobile and wearable devices, and is one of the future applications targeted by 5G. The 5GEAR project will focus on 5G edge computing based infrastructure for MAR, Minimizing latency for MAR in 5G latency, and Security architecture for MAR in 5G.

Edge computing emerges as an increasingly important way to bring computation closer to the edge of the network, for example, locally next to 5G base stations. The benefits of edge computing result from its proximity to data sources and end-users, including low and predictable latency, privacy-preserving services, long battery life and low bandwidth cost, and scalability. All of these are major concerns in modern applications such as seamless augmented reality. Mobile Augmented Reality (MAR) integrates the physical environments with virtual objects for mobile devices. As such, MAR applications combine complex virtual layers with extensive environment analysis. These applications rely on computation-heavy algorithms and impose high latency and bandwidth requirements on the network. 5G infrastructure and edge computing enhances MAR with reliable networks, high bandwidth and low latency. Another benefit of edge computing is enhancing MAR with situational awareness by connecting MAR applications to the IoT world. This enables MAR to interact with the IoT world and to display critical information in real-time, for instance in the context of a smart city or in a smart building. To take advantage of 5G based edge infrastructure, protocols and algorithms that exploit the full capability of 5G need to be developed.

Security is a critical aspect for 5G edge infrastructure enhanced MAR, because MAR applications provide information to support real-world decisions. A malicious party may cause harm by taking control of the data provision system and sends fake information to those AR applications. Thereby, MAR can also become a tool for deceiving users and expose them to various security threats. Denial of service type attacks create huge harm on the users who entirely rely on AR displays (e.g., surgeons who receive vital real-time information on AR glasses). Edge computing enables to enhance device security and user privacy because of its proximity to data sources and end users. For example, industrial facilities or hospitals may store and process critical data within their own facilities on the edge of the 5G network. Considering great potential of beyond 5G MAR applications, the 5GEAR project focuses on 5G edge computing enhanced MAR with ensuring security of the users and the system.

Project results

Articles in journals

  • I. Ahmad, S. Shahabuddin, T. Kumar, E. Harjula, M. Meisel, M. Juntti, T. Sauter & M. Ylianttila (2020). "Challenges of AI in Wireless Networks for IoT," accepted to IEEE Industrial Electronics Magazine, 2020. (Impact factor 10.71, JuFo 2)
  • I. Ahmad, S. Shahabuddin, T. Kumar, J. Okwuibe, A. Gurtov and M. Ylianttila, "Security for 5G and Beyond," in IEEE Communications Surveys & Tutorials, 2019. (Impact factor 22.97, JuFo 2)


Articles in conference proceedings

  • Y. Siriwardhana, P. Porambage, M. Liyanage, J. S. Walia, M. Matinmikko-Blue and M. Ylianttila, "Micro-Operator driven Local 5G Network Architecture for Industrial Internet", IEEE Wireless Communications and Networking Conference (WCNC), April 2019
  • P. Porambage, Y. Miche, A. Kalliola, M. Liyanage, M. Ylianttila, "Secure Keying Scheme for Network Slicing in 5G Architecture", proceedings of IEEE CSCN, Granada, Spain, October 2019.
  • A. Rajakaruna, P. Porambage, A. Manzoor, M. Liyanage, A. Gurtov, M. Ylianttila, "Enabling End-to-End Secure Connectivity for Low-Power IoT Devices with UAVs", 2nd Workshop on Intelligent Computing and Caching at the Network Edge at IEEE Wireless Communications and Networking Conference (WCNC), April 2019.


  • University of Helsinki, PI: Pan Hui 
  • University of Oulu, PI: Mika Ylianttila (Xiang Su, Pawani Porambage, Jukka Riekki)

Research groups

  • CWC-NS Networks and Systems
  • Center for Ubiquitous Computing


Mika Ylianttila

Associate professor (tenure track)
Pawani Porambage

Pawani Porambage

Post-doctoral Researcher

Madhusanka Liyanage

Adjunct Professor - Docent