Neyman-Pearson Criterion Driven NFV-SDN Architectures and Optimal Resource-Allocations for Statistical-QoS Based mURLLC Over 6G Human-Centric Metaverse Mobile Networks Using FBC-Reference-Cited by-同舟云学术

Neyman-Pearson Criterion Driven NFV-SDN Architectures and Optimal Resource-Allocations for Statistical-QoS Based mURLLC Over 6G Human-Centric Metaverse Mobile Networks Using FBC

Published:2023 Issue: Volume: Page:1-1
ISSN:0733-8716
Container-title:IEEE Journal on Selected Areas in Communications
language:
Short-container-title:IEEE J. Select. Areas Commun.

Author:

Zhang Xi¹^ORCID,Zhu Qixuan¹,Poor H. Vincent²^ORCID

Affiliation:

1. Department of Electrical and Computer Engineering, Networking and Information Systems Laboratory, Texas A&M University, College Station, TX, USA

2. Department of Electrical and Computer Engineering, Princeton University, Princeton, NJ, USA

Funder

U.S. National Science Foundation

U.S. Air Force

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications

Link

http://xplorestaging.ieee.org/ielx7/49/5594698/10373683.pdf?arnumber=10373683

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1. Hierarchical Caching for Digital Twins Communications Over mURLLC-Based 6G Distributed-Computing Mobile Networks Using FBC;2024 IEEE 44th International Conference on Distributed Computing Systems Workshops (ICDCSW);2024-07-23

2. Statistical Delay and Error-Rate Bounded QoS Provisioning for RSMA Based 6G Mobile Wireless Networks in the Non-Asymptotic Regime;ICC 2024 - IEEE International Conference on Communications;2024-06-09

3. Guest Editorial Human-Centric Communication and Networking for Metaverse Over 5G and Beyond Networks—Part I;IEEE Journal on Selected Areas in Communications;2024-03

4. Multi-Tier Caching for Statistical-QoS Driven Digital Twins Over mURLLC-Based 6G Massive-MIMO Mobile Wireless Networks Using FBC;IEEE Journal of Selected Topics in Signal Processing;2024-01