XR Capacity Enhancement through Multi-Connected XR Tethering Groups
Muhammad Ahsen, Boyan Yanakiev, Claudio Rosa, and Ramoni Adeogun

TL;DR
This paper proposes multi-connected XR tethering groups with soft combining and enhanced algorithms to significantly boost XR network capacity and throughput in 5G-A systems, especially in coexistence scenarios.
Contribution
It introduces a novel multi-connected XR tethering group framework with soft combining and an improved joint OLLA algorithm for enhanced spectral efficiency.
Findings
XR TGrs with soft combining improve capacity by 23-42% for XR users.
Capacity gains of 38-173% in coexistence scenarios with XR and eMBB users.
Enhanced joint OLLA achieves similar performance with limited CSI reports.
Abstract
Extended Reality (XR) applications have limited capacity in 5th generation-advanced (5G-A) cellular networks due to high throughput requirements coupled with strict latency and high reliability constraints. To enhance XR capacity in the downlink (DL), this paper investigates multi-connected XR tethering groups (TGrs), comprising an XR device and a cooperating 5G-A device. This paper presents investigations for two types of cooperation within XR TGr, i.e., selection combining (SC) and soft combining and their impact on the XR capacity of the network. These investigations consider joint hybrid automatic repeat request (HARQ) feedback processing algorithm and also propose enhanced joint Outer Loop Link Adaptation (OLLA) algorithm to leverage the benefits of multi-connectivity. These enhancements aim to improve the spectral efficiency of the network by limiting HARQ retransmissions and…
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Taxonomy
TopicsAdvanced Wireless Communication Technologies · Advanced MIMO Systems Optimization · Telecommunications and Broadcasting Technologies
