| dc.description.abstract | To support increasing demands for real-time multimedia mobile wireless-network data transmissions, there have been considerable the efforts and initiatives from academia, industry, and standard bodies toward guaranteeing very stringent quality-of-service (QoS) requirements, including tightly-bounded end-to-end delay, super-reliability, etc., when designing the next generation mobile wireless networks. Towards this end, massive Ultra-Reliable Low-Latency Communications (mURLLC), as one of the 6G standard traffic services, have received tremendous research attention, while raising several major design issues, including massive connectivity, ultra-low latency, super-reliability, and high energy efficiency. Several promising 6G enablers, such as statistical delay and error-rate bounded QoS provisioning, cell-free (CF) massive multi-input-multioutput (m-MIMO), simultaneous wireless information and power transfer (SWIPT), millimeter wave (mmWave) and Terahertz (THz) band communications, etc., have been developed to support mURLLC. Specifically, due to potential benefits of favorable propagation and channel hardening, CF m-MIMO can significantly enhance QoS performance in terms of achievable data rate and energy efficiency. Moreover, small-packet data communication techniques, such as finite blocklength coding (FBC), has been proposed to support various massive access techniques for reducing access latency and decoding complexity at the receivers while guaranteeing stringent QoS requirements of 6G mURLLC for time-sensitive wireless services. However, how to efficiently integrate the above new techniques for statistical delay and error-rate bounded QoS provisioning in the finite blocklength regime is still a challenging and open problem. In addition, However, how to rigorously and efficiently characterize the stochastic dynamics in terms of statistically upper-bounding FBC-based both delay and error-rate QoS metrics has been neither well understood nor thoroughly studied before.
To effectively overcome the above-mentioned challenges imposed in supporting 6G mURLLC,
in this dissertation we propose to develop the FBC based statistical delay and error-rate bounded QoS provisioning schemes over 6G mobile wireless networks for mURLLC traffic. In particular, we propose to integrate various 6G promising techniques, such as CF m-MIMO, SWIPT, mmWave and THz-band communication, with FBC for guaranteeing statistical delay and error-rate bounded QoS provisioning. We develop analytical modeling frameworks and controlling mechanisms for statistical delay and error-rate bounded QoS provisioning in the non-asymptotic regime. In addition, we develop a set of new statistical delay and error-rate bounded QoS metrics including delay-bound-violation probability, QoS-exponent function, and the ϵ-effective capacity using FBC over 6G mobile wireless networks. The obtained numerical and simulation results validate and evaluate our proposed schemes for statistical QoS in supporting mURLLC. | |
