Context-Aware Slice Negotiation for Enhanced 5G User Experience

Mahesh Devdatta Telang

Abstract: Traditional 5G network slicing, predominantly orchestrated from the network-side, often exhibits limited responsiveness to dynamic user application requirements. This paper investigates user-driven autonomous 5G network slicing, a paradigm empowering User Equipment (UE) to autonomously request and manage network slices facilitated by lightweight on-device Artificial Intelligence (AI). This user-centric control, informed by real-time application needs and prevailing network conditions, holds the promise of enhancing network efficiency, optimizing resource utilization, and elevating the Quality of Experience (QoE). The technical viability of this approach hinges on the 5G Standalone (SA) architecture, advancements in lightweight AI algorithms optimized for resource-constrained devices, and requisite extensions to existing UE-network interaction mechanisms. Key anticipated benefits include optimized resource consumption and improved application performance through dynamic, context-aware adaptation. Nevertheless, significant implementation challenges persist, encompassing the deployment and lifecycle management of AI models across diverse UEs, potential signaling overhead, the imperative for robust security in a UE-controlled environment, and the necessity for standardized communication protocols and Application Programming Interfaces (APIs). This paper provides a comprehensive review of this emerging concept, meticulously analyzing its feasibility, potential benefits, inherent challenges, and outlining future research and standardization trajectories essential for its successful realization.

Keywords: Network slicing, slice negotiation, 5G Standalone mode, Quality of Experience (QoE), Artificial intelligence

How to Cite?: Mahesh Devdatta Telang, "Context-Aware Slice Negotiation for Enhanced 5G User Experience", Volume 14 Issue 5, May 2025, International Journal of Science and Research (IJSR), Pages: 1030-1034, https://www.ijsr.net/getabstract.php?paperid=SR25516122237, DOI: https://dx.doi.org/10.21275/SR25516122237