Laha, Moyukh, Das, Goutam and Miro-Muntean, Gabriel (2026) Joint Power and Resource Block Allocation for Delay-Reliable Downlink XR Scheduling in 6G. In: 2026 IEEE International Black Seas Conference on Communications and Networking, BlackSeaCom 2026, 2026-06-08 - 2026-06-11.
Abstract
Emerging 6G networks position eXtended Reality (XR) as a key service class that simultaneously requires very high throughput and stringent latency and reliability guarantees. Existing delay- and reliability-aware schedulers optimize resource block (RB) allocation under fixed transmit power and therefore ignore the intrinsic coupling between transmit power and achievable rate. In this work, we propose Power-Optimized Delay-Reliable XR Scheduling (PODRX), a joint power and RB allocation framework that leverages the PDU Set Delay Tracking Queue (PDTQ) mechanism for PDU Set delay budget (PSDB) monitoring. The scheduling problem is formulated as a Mixed-Integer Nonlinear Program (MINLP) and systematically transformed into a tractable Mixed-Integer Linear Program (MILP), which enables computation of globally optimal solutions. Simulation results show that PODRX reduces transmit power consumption by more than 50% compared with state-of-the-art fixed-power delay-reliability-aware XR schedulers, while simultaneously increasing the satisfied XR user count by approximately 20%.
Metadata
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Event Type: | Other |
| Refereed: | Yes |
| Additional Information: | Publisher Copyright: © 2026 IEEE. |
| Uncontrolled Keywords: | Hardware and Architecture, Signal Processing, Instrumentation, Computer Networks and Communications, 6G, Extended reality, PDU Set, XR, delay-reliable scheduling, joint power-RB optimization |
| Subjects: | Computer Science > Hardware and Architecture Computer Science > Signal Processing Physics and Astronomy > Instrumentation Computer Science > Computer Networks and Communications |
| Divisions: | Faculty of Engineering & Computing > School of Electronic Engineering |
| Official URL: | https://doi.org/10.1109/BlackSeaCom69760.2026.1159... |
| ID Code: | 32690 |
| Deposited On: | 05 Aug 2026 15:07 by Pure Test . Last Modified 05 Aug 2026 23:00 |
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