Statistical Security-QoS Provisioning for mURLLC Over Massive-MIMO Based 6G Mobile Wireless Networks Using FBC
The 6G mobile wireless networks are expected to support massive ultra-reliable and low-latency communications (mURLLC) with stringent requirements on transmission-delay and error-rate bounded quality-of-service (QoS). Correspondingly, the finite blocklength coding (FBC) has developed as the effective technique to implement small-packet communications for the statistical QoS provisioning over mURLLC-based 6G mobile networks. On the other hand, guaranteeing the security for 6G networks services imposes another new dimension of statistical QoS requirements. However, how to efficiently upper-bound the statistical delay and the error probability over time-varying wireless fading channels while guaranteeing the security QoS using FBC remain a challenging problem. To overcome these difficulties, in this paper we propose and develop the new concept of secrecy ϵ-effective capacity as a statistical security QoS scheme to guarantee the performance of statistical delay-bounded QoS, error-rate bounded QoS, and the secrecy-information leak-probability bounded QoS by using the FBC technique. First, we establish the wireless channel model of massive multiple-input-multiple-output (MIMO) for supporting the communications between the base station and multiple mobile users with the existence of an eavesdropper. Second, we define and derive the eavesdropping rate and secrecy rate under the massive MIMO communication. Third, we derive the secrecy-information leak probability and integrate it with statistical delay and error-rate bounded QoS to define the new wireless network communications performance metrics of secrecy ϵ-effective capacity. Finally, we use the numerical analyses to validate and evaluate our developed schemes for supporting statistical delay and error-rate bounded QoS provisioning while upper-bounding the secrecy-information leak probability over 6G mobile networks using massive-MIMO/FBC.
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
- 2024-10-28
- DOI
- https://doi.org/10.1109/milcom61039.2024.10773669
- Citations
- 2
- Primary Topic
- Telecommunications and Broadcasting Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.64
Funders
- National Science Foundation