TY - GEN
T1 - Optimal resource allocation for statistical QoS provisioning in supporting mURLLC over FBC-driven 6G terahertz wireless nano-networks
AU - Zhang, Xi
AU - Wang, Jingqing
AU - Poor, H. Vincent
N1 - Funding Information:
The work of Xi Zhang and Jingqing Wang was supported in part by the U.S. National Science Foundation under Grants CCF-2008975, ECCS-1408601, and CNS-1205726, and 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 Grants CCF-0939370 and CCF-1908308.
Publisher Copyright:
© 2021 IEEE.
PY - 2021/5/10
Y1 - 2021/5/10
N2 - The new and important service class of massive Ultra-Reliable Low-Latency Communications (mURLLC) is defined in the 6G era to guarantee very stringent quality-of-service (QoS) requirements, such as ultra-high data rate, super-high reliability, tightly-bounded end-to-end latency, etc. Various 6G promising techniques, such as finite blocklength coding (FBC) and Terahertz (THz), have been proposed to significantly improve QoS performances of mURLLC. Furthermore, with the rapid developments in nano techniques, THz wireless nano-networks have drawn great research attention due to its ability to support ultra-high data-rate while addressing the spectrum scarcity and capacity limitations problems. However, how to efficiently integrate THz-band nano communications with FBC in supporting statistical delay/error-rate bounded QoS provisioning for mURLLC still remains as an open challenge over 6G THz wireless nano-networks. To overcome these problems, in this paper we propose the THz-band statistical delay/error-rate bounded QoS provisioning schemes in supporting mURLLC standards by optimizing both the transmit power and blocklength over 6G THz wireless nano-networks in the finite blocklength regime. Specifically, first, we develop the FBC-driven THz-band wireless channel models in nano-scale. Second, we build up the THz-band interference model and derive the channel capacity and channel dispersion functions using FBC. Third, we maximize the ϵ-effective capacity by developing the joint optimal resource allocation policies under statistical delay/error-rate bounded QoS constraints. Finally, we conduct the extensive simulations to validate and evaluate our proposed schemes at the THz band in the finite blocklength regime.
AB - The new and important service class of massive Ultra-Reliable Low-Latency Communications (mURLLC) is defined in the 6G era to guarantee very stringent quality-of-service (QoS) requirements, such as ultra-high data rate, super-high reliability, tightly-bounded end-to-end latency, etc. Various 6G promising techniques, such as finite blocklength coding (FBC) and Terahertz (THz), have been proposed to significantly improve QoS performances of mURLLC. Furthermore, with the rapid developments in nano techniques, THz wireless nano-networks have drawn great research attention due to its ability to support ultra-high data-rate while addressing the spectrum scarcity and capacity limitations problems. However, how to efficiently integrate THz-band nano communications with FBC in supporting statistical delay/error-rate bounded QoS provisioning for mURLLC still remains as an open challenge over 6G THz wireless nano-networks. To overcome these problems, in this paper we propose the THz-band statistical delay/error-rate bounded QoS provisioning schemes in supporting mURLLC standards by optimizing both the transmit power and blocklength over 6G THz wireless nano-networks in the finite blocklength regime. Specifically, first, we develop the FBC-driven THz-band wireless channel models in nano-scale. Second, we build up the THz-band interference model and derive the channel capacity and channel dispersion functions using FBC. Third, we maximize the ϵ-effective capacity by developing the joint optimal resource allocation policies under statistical delay/error-rate bounded QoS constraints. Finally, we conduct the extensive simulations to validate and evaluate our proposed schemes at the THz band in the finite blocklength regime.
KW - 6G wireless nano-networks
KW - FBC
KW - MURLLC
KW - Mutual information
KW - Statistical delay/error-rate bounded QoS provisioning
KW - THz band communications
KW - ϵ-effective capacity
UR - http://www.scopus.com/inward/record.url?scp=85111943167&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85111943167&partnerID=8YFLogxK
U2 - 10.1109/INFOCOM42981.2021.9488905
DO - 10.1109/INFOCOM42981.2021.9488905
M3 - Conference contribution
AN - SCOPUS:85111943167
T3 - Proceedings - IEEE INFOCOM
BT - INFOCOM 2021 - IEEE Conference on Computer Communications
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 40th IEEE Conference on Computer Communications, INFOCOM 2021
Y2 - 10 May 2021 through 13 May 2021
ER -