Multi-User Content Diversity in Wireless Networks

2026-01-22

AI Summary

This work addresses the limitations of conventional wireless resource allocation, which overlooks the diversity of user content and consequently degrades user experience (UX) and network efficiency. To bridge this gap, the paper introduces the concept of multi-user content diversity and, for the first time, incorporates content complexity heterogeneity into wireless resource management by designing a content-aware network architecture. A content-aware rate control framework, a cross-layer information exchange mechanism, and a UX-driven optimization algorithm are jointly developed to enable synergistic optimization across the application layer, user equipment, and the network. Simulation results demonstrate that the proposed approach significantly improves UX capacity, fairness, and network resource utilization compared to traditional methods.

Technology Category

• Constraint Satisfaction and Optimization: Distributed CSP/Optimization
• Planning, Routing, and Scheduling: Optimization of Spatio-temporal Systems
• Search and Optimization: Applications

Application Category

• Web Mining and Content Analysis: Content-based information diffusion
• Systems and Infrastructure for Web, Mobile and WoT: Virtualization and resource management in Web systems and infrastructures
• User Modeling, Personalization and Recommendation: Personalized content ranking and presentation

Abstract

Immersive applications such as eXtended Reality (XR), cloud gaming, and real-time video streaming are central to the vision of 6G networks. These applications require not only low latency and high data rates, but also consistent and high-quality User Experience (UX). Traditional rate allocation and congestion control mechanisms in wireless networks treat users uniformly based on channel conditions, rely only on network-centric Key Performance Indicators (KPIs), and ignore the content diversity, which can lead to inefficient resource utilization and degraded UX. In this paper, we introduce the concept of Multi-User Content Diversity, which recognizes that different users concurrently consume media with varying complexity, and therefore have different bitrate requirements to achieve satisfactory UX. We propose multiple different frameworks that exploit multi-user content diversity and lead to overall network-wide gains in terms of UX. For each framework, we demonstrate the required information exchange between Application Servers (ASs), Application Clients (ACs), and the network, and the algorithms that run in each of these components to optimize a network-wide UXbased objective. Simulation results demonstrate that exploiting multi-user content diversity leads to significant gains in UX capacity, UX fairness, and network utilization, when compared to conventional rate control methods. These findings highlight the potential of content-aware networking as a key enabler for emerging wireless systems.

Problem

• Multi-User Content Diversity
• User Experience (UX)
• Wireless Networks
• Content-Aware Networking
• Rate Allocation

Innovation

• Multi-User Content Diversity
• Content-Aware Networking
• User Experience (UX) Optimization
• Wireless Resource Allocation
• 6G Immersive Applications