Statistical Security-QoS Guaranteed mURLLC Over 6G Massive-MIMO Mobile Wireless Networks
Guaranteeing massive ultra-reliable and low-latency communications (mURLLC) for 6 G wireless networks is of capital importance in both academia and industry. However, how to satisfy the security requirement while ensuring both the delayand error-rate-bounded quality-of-service (QoS) for mURLLC in 6G has not been thoroughly studied. In order to support security, ultra-reliable, and low-latency QoS demands for massive mobile users (MU) in 6 G wireless networks, in this paper we propose and develop the new concept of secrecy <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\epsilon$</tex>-effective capacity as the performance metric to guarantee the statistical delay-bounded QoS, error-rate bounded QoS, and secrecy-information leakprobability bounded QoS. First, we establish the massive multiple-input-multiple-output (MIMO) channel model for supporting communications between the base station and multiple MUs with the existence of an eavesdropper. Second, we develop the secrecyinformation leak-probability bounded data rate to measure the statistical security performance and derive its closed-form expression under the Rician-fading channel. Third, we define the new concept of secrecy <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\epsilon$</tex>-effective capacity as the performance metric for secure mURLLC by integrating our developed statistical security QoS provisioning with statistical delay and error-ratebounded QoS provisioning. Finally, we use numerical analyses to validate and evaluate our developed statistical security, statistical delay-bounded, and error-rate-bounded schemes.
Authors
- Xi Zhang (ORCID: https://orcid.org/0000-0001-9369-0060)
- Qixuan Zhu (ORCID: https://orcid.org/0000-0002-4237-1585)
Institutions
- Texas A&M University (US)
Publication Details
- Published
- 2025-06-08
- DOI
- https://doi.org/10.1109/icc52391.2025.11161785
- Citations
- 1
- Primary Topic
- Advanced MIMO Systems Optimization
- Type
- article
- Field-Weighted Citation Impact
- 0.73