Multi-Stage Decoding in Dense Distributed Networks for MTC
Date
2023
Authors
Ding, J.
Al Homssi, B.
Choi, J.
Editors
Advisors
Journal Title
Journal ISSN
Volume Title
Type:
Journal article
Citation
IEEE Transactions on Vehicular Technology, 2023; 72(9):12401-12406
Statement of Responsibility
Jie Ding, Bassel Al Homssi, and Jinho Choi
Conference Name
Abstract
Dense distributed networks have been proposed to fulfil the wireless connectivity demands in the 5th generation (5G) and beyond. In this paper, a multi-stage decoding (MSD) scheme is proposed to enhance access connectivity for machine-type communication (MTC) in dense distributed networks. Different from the conventional single-stage decoding (SSD) scheme that performs local decoding at each access point (AP) independently, the MSD scheme exploits the local decoding information exchange between the APs and a central processing unit (CPU) to resolve access collisions and enhance access capacity with successive interference cancellation (SIC). To show the performance superiority of MSD to SSD, we analytically evaluate and compare the error probabilities of both the schemes by leveraging on techniques from stochastic geometry. Simulation results verify our analysis and indicate that the MSD scheme is able to effectively reduce the error probability and afford much higher access load compared to the SSD scheme, which makes it more suitable for massive MTC.
School/Discipline
Dissertation Note
Provenance
Description
Access Status
Rights
© 2023 IEEE.