Statistical QoS Provisioning Over Cell-Free M-MIMO-NOMA Based 5G+ Mobile Wireless Networks in the Non-Asymptotic Regime
Xi Zhang, Jingqing Wang, H. Vincent Poor
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To upper-bound both delay and error-rate for supporting time-sensitive beyond 5G (5G+) wireless multimedia services, researchers have developed several advanced techniques, including statistical delay-bounded quality-of-service (QoS) provisioning and finite blocklength coding (FBC).
On the other hand, cell-free massive-multi-input multi-output (m-MIMO) systems, where a large number of distributed access points (APs) jointly serve all users in a coordinated manner, has emerged as one of the key promising techniques to significantly improve various mobile QoS performances, including throughput, user-coverage probability, energy/spectrum efficiencies, etc.
Inspired by the more diverse distances between mobile users and APs in cell-free m-MIMO systems compared with traditional centralized m-MIMO systems, the integration of non-orthogonal multiple access (NOMA) and cell-free m-MIMO can significantly enhance spectral efficiency for massive connections of mobile devices.
However, due to the complexity of analyzing the networking dynamics in the finite blocklength regime, how to efficiently characterize the queuing process for the cell-free m-MIMO-NOMA schemes using FBC based statistical delay/error-rate bounded QoS theory is still an open problem.
In order to solve the above-mentioned problems, we propose FBC based cell-free m-MIMO-NOMA schemes over 5G+ mobile wireless networks under statistical delay/error-rate bounded QoS constraints.
In particular, we establish the cell-free m-MIMO-NOMA system models over Rician wireless fading channels. Considering the statistical delay/error-rate bounded QoS constraints, we derive the closed-form expression for the upper bound on delay violation probability over downlink Rician wireless fading channels with non-vanishing error probability.
Our simulation results validate and evaluate our proposed FBC based cell-free m-MIMO-NOMA schemes subject to statistical delay/error-rate bounded QoS constraints.
On the other hand, cell-free massive-multi-input multi-output (m-MIMO) systems, where a large number of distributed access points (APs) jointly serve all users in a coordinated manner, has emerged as one of the key promising techniques to significantly improve various mobile QoS performances, including throughput, user-coverage probability, energy/spectrum efficiencies, etc.
Inspired by the more diverse distances between mobile users and APs in cell-free m-MIMO systems compared with traditional centralized m-MIMO systems, the integration of non-orthogonal multiple access (NOMA) and cell-free m-MIMO can significantly enhance spectral efficiency for massive connections of mobile devices.
However, due to the complexity of analyzing the networking dynamics in the finite blocklength regime, how to efficiently characterize the queuing process for the cell-free m-MIMO-NOMA schemes using FBC based statistical delay/error-rate bounded QoS theory is still an open problem.
In order to solve the above-mentioned problems, we propose FBC based cell-free m-MIMO-NOMA schemes over 5G+ mobile wireless networks under statistical delay/error-rate bounded QoS constraints.
In particular, we establish the cell-free m-MIMO-NOMA system models over Rician wireless fading channels. Considering the statistical delay/error-rate bounded QoS constraints, we derive the closed-form expression for the upper bound on delay violation probability over downlink Rician wireless fading channels with non-vanishing error probability.
Our simulation results validate and evaluate our proposed FBC based cell-free m-MIMO-NOMA schemes subject to statistical delay/error-rate bounded QoS constraints.