Optimal Resource Allocations for Statistical QoS Provisioning in Supporting mURLLC Over FBC-EH Based 6G THz Wireless Nano-Networks

Xi Zhang, Jingqing Wang, H. Vincent Poor

Research output: Contribution to journalArticlepeer-review


While 5G is being deployed around the world, the efforts and initiatives from academia, industry, and standard bodies have started to conceptualize 6G mobile wireless networks and propose various promising 6G techniques in supporting very stringent quality-of-service (QoS) requirements. Inspired by the new and important service class of the massive Ultra-Reliable Low-Latency Communications (mURLLC), finite blocklength coding (FBC) has been shown to significantly improve various QoS performances by using short-packet communications. On the other hand, Terahertz (THz) band nano communications have been widely envisioned as a promising 6G technique to efficiently support ultra-high data-rate (up to 1 Tbps). One of the major constraints over THz-band nano-networks is the severely limited energy that can be accessed by nano devices. Towards this end, various novel energy harvesting (EH) mechanisms have been proposed to remedy the energy scarcity problem. However, how to accurately characterize the relationships among THz wireless channel, energy consumption, and EH models for FBC based nano communications still remains as a challenging problem to support statistical delay and error-rate bounded QoS provisioning over FBC based 6G THz wireless nano-networks. To overcome these challenges, we propose optimal resource allocation policies to achieve the maximum ϵ-effective capacity in the THz band over FBC-EH-based nano-networks. Particularly, we establish nano-scale system models and characterize wireless channel models in the THz band using FBC. Considering statistical delay and error-rate bounded QoS provisioning, we formulate and solve the ϵ-effective capacity maximization problem under several different EH constraints for our proposed schemes. Simulation results are included, which validate and evaluate our proposed schemes in the finite blocklength regime.

Original languageEnglish (US)
JournalIEEE Journal on Selected Areas in Communications
StateAccepted/In press - 2021

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Electrical and Electronic Engineering


  • ϵ-effective capacity
  • 6G mobile communication
  • 6G wireless nano-networks
  • Delays
  • energy harvesting
  • FBC
  • joint resource allocation
  • mutual information
  • Nanoscale devices
  • Quality of service
  • Statistical delay and error-rate bounded QoS
  • THz band
  • Transmitters
  • Wireless communication
  • Wireless sensor networks

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