Reseach Article
Edge Computing and 5G Networks: Catalysts for Next-Generation Smart Retail Transformation
| Journal of Advanced Artificial Intelligence |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 2 - Number 1 |
| Year of Publication: 2025 |
| Authors: Gauresh Dilip Vanjare |
10.5120/jaai202439
|
Gauresh Dilip Vanjare . Edge Computing and 5G Networks: Catalysts for Next-Generation Smart Retail Transformation. Journal of Advanced Artificial Intelligence. 2, 1 ( Aug 2025), 18-23. DOI=10.5120/jaai202439
Abstract
The convergence of edge computing and fifth-generation wireless networks represents a transformative paradigm shift in retail technology, fundamentally revolutionizing how retailers operate, engage customers, and optimize business processes. This article examines the comprehensive integration of Multi-Access Edge Computing (MEC) infrastructure with 5G network slicing capabilities to create intelligent retail environments that deliver unprecedented levels of real-time data processing, customer personalization, and operational efficiency. Edge computing addresses critical latency challenges through distributed fog computing architectures and cloudlet deployments, enabling sub-millisecond responses for personalized recommendations, inventory management, and fraud detection systems. The synergy with 5G networks provides ultra-reliable low-latency communication (URLLC), enhanced mobile broadband (eMBB), and massive machine-type communication (mMTC) capabilities essential for supporting dense IoT deployments, augmented reality applications, and computer vision systems. Security considerations encompass edge-specific vulnerabilities, data privacy preservation through federated learning approaches, and 5G security protocols, including network authentication frameworks. The technological foundation enables sophisticated artificial intelligence algorithms deployed through containerized edge orchestration platforms to analyze customer behavior patterns, predict purchasing trends, and optimize store operations instantaneously while maintaining data sovereignty. Interoperability challenges are addressed through standardized frameworks, including ETSI MEC specifications and O-RAN architectures. Total cost of ownership analysis reveals significant long-term benefits despite initial deployment complexities. Customer experience enhancement occurs through edge-optimized AI models utilizing quantization techniques for real-time personalization systems that deliver targeted recommendations, dynamic pricing, and immersive augmented reality shopping experiences with consideration for current AR/VR adoption limitations and 5G coverage constraints.
References
- Pavel Mach and Zdenek Becvar, "Mobile Edge Computing: A Survey on Architecture and Computation Offloading," IEEE Communications Surveys & Tutorials, 15 March 2017. Available: https://ieeexplore.ieee.org/document/7879258
- Mansoor Shafi et al., "5G: A Tutorial Overview of Standards, Trials, Challenges, Deployment, and Practice," IEEE Journal on Selected Areas in Communications, 7 April 2017. Available:https://ieeexplore.ieee.org/document/7894280
- Yifan Yu, "Mobile edge computing towards 5G: Vision, recent progress, and open challenges," China Communications, IEEE Xplore, 26 January 2017. Available: https://ieeexplore.ieee.org/document/7833463
- Flavio Bonomi et al., "Fog Computing and Its Role in the Internet of Things," Proceedings of the First Edition of the MCC Workshop on Mobile Cloud Computing, ACM Digital Library, 17 August 2012. Available: https://dl.acm.org/doi/10.1145/2342509.2342513
- Peter Rost et al., "Network Slicing to Enable Scalability and Flexibility in 5G Mobile Networks," IEEE Communications Magazine, May 2017. Available: https://ieeexplore.ieee.org/document/7926920
- Yong Xiao and Marwan Krunz, "QoE and Power Efficiency Tradeoff for Fog Computing Networks with Fog Node Cooperation," IEEE INFOCOM 2017 - IEEE Conference on Computer Communications, 5 October 2017. Available: https://ieeexplore.ieee.org/document/8057196
- Qiang Yang et al., "Federated Machine Learning: Concept and Applications," ACM Transactions on Intelligent Systems and Technology, 28 January 2019. Available: https://dl.acm.org/doi/10.1145/3298981
- Cynthia Dwork, "Differential Privacy: A Survey of Results," ResearchGate, April 2008. Available: https://www.researchgate.net/publication/220908275_Differential_Privacy_A_Survey_of_Results
- Kaiming He et al., "Deep Residual Learning for Image Recognition," 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 12 December 2016. Available: https://ieeexplore.ieee.org/document/7780459
- Ala Al-Fuqaha et al., "Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications," IEEE Communications Surveys & Tutorials, 15 June 2015. Available: https://ieeexplore.ieee.org/document/7123563
- Luigi Atzori et al., "The Internet of Things: A Survey," Computer Networks, Science Direct, October 2010. Available: https://www.sciencedirect.com/science/article/pii/S1389128610001568
- Sebastian Thrun, "Toward a Framework for Human-Robot Interaction," Human-Computer Interaction, ResearchGate, June 2004. Available:https://www.researchgate.net/publication/239667598_Toward_a_Framework_for_Human-Robot_Interaction
- Roland Illah R. and SIEGWART NOURBAKHSH, "Introduction to Autonomous Mobile Robots," MIT Press, 2004. Available: Available:http://vigir.missouri.edu/~gdesouza/Research/MobileRobotics/Autonomous_Mobile_Robots_Siegwart-Nourbakhsh.pdf
- Joseph Redmon et al., "You Only Look Once: Unified, Real-Time Object Detection," 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 12 December 2016. Available: https://ieeexplore.ieee.org/document/7780460
- Shaoqing Ren et al., "Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks," IEEE Transactions on Pattern Analysis and Machine Intelligence, 6 June 2016. Available: https://ieeexplore.ieee.org/document/7485869
- Mahadev Satyanarayanan, "The Emergence of Edge Computing," Computer, 5 January 2017. Available: https://ieeexplore.ieee.org/document/7807196
- Jianbing Ni et al., "Securing Fog Computing for Internet of Things Applications: Challenges and Solutions," IEEE Communications Surveys & Tutorials, 12 October 2017. Available: https://ieeexplore.ieee.org/document/8066283
- Adlen Ksentini and Navid Nikaein, "Toward Enforcing Network Slicing on RAN: Flexibility and Resources Abstraction," IEEE Communications Magazine, 13 June 2017. Available: https://ieeexplore.ieee.org/document/7946928
- Tarik Taleb et al., "On Multi-Access Edge Computing: A Survey of the Emerging 5G Network Edge Cloud Architecture and Orchestration," IEEE Communications Surveys & Tutorials, 18 May 2017. Available: https://ieeexplore.ieee.org/document/7931566
- Weisong Shi et al., "Edge Computing: Vision and Challenges," IEEE Internet of Things Journal, 9 June 2016. Available: https://ieeexplore.ieee.org/document/7488250
Index Terms
Keywords