Outage-Constrained Robust Design for Sustainable B5G Cellular Internet of Things

Qiao Qi, Xiaoming Chen*, Lei Lei, Caijun Zhong, Zhaoyang Zhang

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

23 Citations (Scopus)

Abstract

In this paper, we investigate the issue of sustainable communications for beyond fifth-generation (B5G) cellular internet of things (IoT) networks under adverse but practical conditions. A massive number of simple IoT devices without batteries harvest requisite energy from a part of the received signal. A design framework including channel state information (CSI) acquisition, signal construction, information decoding and energy harvesting, is first provided for sustainable communications of massive IoT. Then, based on the proposed design framework, we reveal the impacts of practically adverse factors, e.g., channel uncertainty, successive interference cancellation (SIC) and non-linear energy harvesting, on the performance of B5G cellular IoT. Furthermore, in order to effectively alleviate the impacts of these adverse factors, an outage-constrained robust algorithm is designed to maximize the overall performance of sustainable B5G cellular IoT. Finally, extensive simulation results validate the robustness and effectiveness of the proposed algorithm over the baseline ones.

Original languageEnglish
Article number8830427
Pages (from-to)5780-5790
Number of pages11
JournalIEEE Transactions on Wireless Communications
Volume18
Issue number12
DOIs
Publication statusPublished - Dec 2019
Externally publishedYes

Keywords

  • B5G
  • cellular IoT
  • outage constraint
  • robust design
  • sustainable communication

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