TY - JOUR
T1 - Statistical Delay and Error-Rate Bounded QoS Provisioning over mmWave Cell-Free M-MIMO and FBC-HARQ-IR Based 6G Wireless Networks
AU - Zhang, Xi
AU - Wang, Jingqing
AU - Poor, H. Vincent
N1 - Funding Information:
Manuscript received October 1, 2019; revised January 15, 2020; accepted February 17, 2020. Date of publication July 1, 2020; date of current version August 20, 2020. The work of Xi Zhang and Jingqing Wang was supported in part by the U.S. National Science Foundation under Grant CCF-2008975, Grant ECCS-1408601, and Grant CNS-1205726, and in part by the U.S. Air Force under Grant FA9453-15-C-0423. The work of H. Vincent Poor was supported in part by the U.S. National Science Foundation under Grant CCF-0939370 and Grant CCF-1513915. (Corresponding author: Xi Zhang.) Xi Zhang and Jingqing Wang are with Networking and Information Systems Laboratory, Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX 77843 USA (e-mail: xizhang@ece.tamu.edu; wang12078@tamu.edu).
Publisher Copyright:
© 1983-2012 IEEE.
PY - 2020/8
Y1 - 2020/8
N2 - As a new and dominating 6G mobile-networks' service class for time-sensitive traffics, massive ultra-reliable and low latency communications (mURLLC) has received tremendous attention. One of key 6G enabling-techniques for achieving mURLLC lies in how to efficiently support statistical delay and error-rate bounded quality-of-services (QoS) provisioning for real-time data-transmissions over time-varying wireless networks. Towards this end, several emerging wireless techniques, including finite blocklength coding (FBC), hybrid automatic repeat request with incremental redundancy (HARQ-IR) protocol, millimeter wave (mmWave), cell-free (CF) massive multiple-input multiple-output (m-MIMO), etc., have been shown to be 6G promising enablers to significantly improve various QoS performances. However, integrating these techniques with the statistical delay and error-rate bounded QoS provisioning theory for mURLLC has imposed many new difficulties not encountered before. To overcome these challenges, in this paper we propose the statistical delay-and-error-rate-bounded QoS provisioning system architecture over mmWave user-centric CF m-MIMO and FBC-HARQ-IR based 6G wireless networks. First, we establish the comprehensive system models by accurately characterizing the integrations of above-described 6G promising techniques with statistical QoS provisioning theory. Then, we integrate FBC with HARQ-IR protocol to derive the channel capacity as a function of error probability. Finally, we obtain the closed-form expressions for effective capacities under our proposed schemes. We also conduct a set of simulations to validate and evaluate our proposed FBC-HARQ-IR based mmWave user-centric CF m-MIMO schemes.
AB - As a new and dominating 6G mobile-networks' service class for time-sensitive traffics, massive ultra-reliable and low latency communications (mURLLC) has received tremendous attention. One of key 6G enabling-techniques for achieving mURLLC lies in how to efficiently support statistical delay and error-rate bounded quality-of-services (QoS) provisioning for real-time data-transmissions over time-varying wireless networks. Towards this end, several emerging wireless techniques, including finite blocklength coding (FBC), hybrid automatic repeat request with incremental redundancy (HARQ-IR) protocol, millimeter wave (mmWave), cell-free (CF) massive multiple-input multiple-output (m-MIMO), etc., have been shown to be 6G promising enablers to significantly improve various QoS performances. However, integrating these techniques with the statistical delay and error-rate bounded QoS provisioning theory for mURLLC has imposed many new difficulties not encountered before. To overcome these challenges, in this paper we propose the statistical delay-and-error-rate-bounded QoS provisioning system architecture over mmWave user-centric CF m-MIMO and FBC-HARQ-IR based 6G wireless networks. First, we establish the comprehensive system models by accurately characterizing the integrations of above-described 6G promising techniques with statistical QoS provisioning theory. Then, we integrate FBC with HARQ-IR protocol to derive the channel capacity as a function of error probability. Finally, we obtain the closed-form expressions for effective capacities under our proposed schemes. We also conduct a set of simulations to validate and evaluate our proposed FBC-HARQ-IR based mmWave user-centric CF m-MIMO schemes.
KW - 6G mobile wireless networks
KW - FBC-HARQ-IR
KW - Statistical delay and error-rate bounded QoS
KW - effective capacity
KW - mURLLC
KW - mmWave user-centric CF m-MIMO
UR - http://www.scopus.com/inward/record.url?scp=85087519585&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85087519585&partnerID=8YFLogxK
U2 - 10.1109/JSAC.2020.3000804
DO - 10.1109/JSAC.2020.3000804
M3 - Article
AN - SCOPUS:85087519585
SN - 0733-8716
VL - 38
SP - 1661
EP - 1677
JO - IEEE Journal on Selected Areas in Communications
JF - IEEE Journal on Selected Areas in Communications
IS - 8
M1 - 9130689
ER -