학술논문

Performance Analysis of Resource Hopping-Based Grant-Free Multiple Access for Massive IoT Networks
Document Type
Periodical
Source
IEEE Wireless Communications Letters IEEE Wireless Commun. Lett. Wireless Communications Letters, IEEE. 11(12):2685-2689 Dec, 2022
Subject
Communication, Networking and Broadcast Technologies
Computing and Processing
Signal Processing and Analysis
Internet of Things
Low latency communication
Symbols
Performance evaluation
OFDM
Indexes
6G mobile communication
6G
grant-free multiple access (GFMA)
massive machine-type communication (mMTC)
massive Internet-of-Things (mIoT)
resource hopping (RH)
bit-error-rate (BER)
Language
ISSN
2162-2337
2162-2345
Abstract
In this letter, we mathematically analyze the bit-error-rate (BER) and frame-error-rate (FER) performance of the resource hopping-based grant-free multiple access (RH-GFMA) systems that were recently proposed for 6G massive Internet-of-Things (mIoT) networks. In the RH-GFMA systems, each IoT device intermittently sends a short-packet to the access point (AP) based on a predetermined resource hopping pattern (HP). Each IoT device may experience HP collisions within the packet, but the effect of HP collisions on error performance can be reduced to be collision-friendly by exploiting multi-antenna-based signal detection and error-correction capability of channel codes. In this letter, hence, we rigorously analyze the effect of HP collisions on the error performance in the RH-GFMA system where repetition codes (RC) and tail-biting convolutional codes (TB-CC) are considered channel coding schemes for satisfying low-complexity and low-latency requirements of mIoT networks. Through computer simulations, we validate that our mathematical analysis is well-matched with the simulation results.