A Unified QoS-Aware Multiplexing Framework for Next Generation Immersive Communication with Legacy Wireless Applications
Artikel i vetenskaplig tidskrift, 2025

Immersive communication, including emerging augmented reality, virtual reality, and holographic telepresence, has been identified as a key service for enabling next-generation wireless applications. To align with legacy wireless applications, such as enhanced mobile broadband or ultra-reliable low-latency communication, network slicing has been widely adopted. However, attempting to statistically isolate the above types of wireless applications through different network slices may lead to throughput degradation and increased queue backlog. To address these challenges, we establish a unified QoS-aware framework that supports immersive communication and legacy wireless applications simultaneously. Based on the Lyapunov drift theorem, we transform the original long-term throughput maximization problem into an equivalent short-term throughput maximization weighted by virtual queue length. Moreover, to cope with the challenges introduced by the interaction between large-timescale network slicing and short-timescale resource allocation, we propose an adaptive adversarial slicing (Ad2S) scheme for networks with invarying channel statistics. To track the network channel variations, we also propose a measurement extrapolation-Kalman filter (ME-KF)-based method and refine our scheme into Ad2S-non-stationary refinement (Ad2S-NR). Through extended numerical examples, we demonstrate that our proposed schemes achieve 3.86 Mbps throughput improvement and 63.96% latency reduction with 24.36% convergence time reduction. Within our framework, the trade-off between total throughput and user service experience can be achieved by tuning systematic parameters.

resource allocation

QoS-aware

Immersive communication

dual-timescale

network slicing

Författare

Jihong Li

Shanghai University

Shunqing Zhang

Shanghai University

Tao Yu

Shanghai University

Guangjin Pan

Chalmers, Elektroteknik, Kommunikation, Antenner och Optiska Nätverk

Kaixuan Huang

Shanghai University

Xiaojing Chen

Shanghai University

Yanzan Sun

Shanghai University

Junyu Liu

Xidian University

Jiandong Li

Xidian University

Derrick Wing Kwan Ng

University of New South Wales (UNSW)

IEEE Internet of Things Journal

23274662 (eISSN)

Vol. In Press

Ämneskategorier (SSIF 2025)

Kommunikationssystem

Telekommunikation

DOI

10.1109/JIOT.2025.3567111

Mer information

Senast uppdaterat

2025-05-20