Novel Packet Arrival Rate Estimator for LTE-Based Random Access

Owing to the increasing demand for machine-to-machine (M2M) communications, random access is being intensively researched. With M2M communications, numerous devices can transmit random access packets simultaneously. This results in congestion in random access and degrades its performance. To control...

Full description

Saved in:
Bibliographic Details
Published in:IEEE access 2022, Vol.10, p.75596-75603
Main Authors: Jang, Sungkyun, Moon, Hichan
Format: Article
Language:English
Subjects:
arrival rate
Congestion
Delays
Detectors
Estimation
Long Term Evolution
M2M communications
Machine-to-machine communications
Moon
Packet transmission
Performance degradation
Performance evaluation
Random access
Sequences
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Owing to the increasing demand for machine-to-machine (M2M) communications, random access is being intensively researched. With M2M communications, numerous devices can transmit random access packets simultaneously. This results in congestion in random access and degrades its performance. To control congestion scenarios, the packet arrival rate of random access must be obtained with a short delay and high accuracy. In this paper, a new estimator is proposed to obtain the packet arrival rate in a long-term evolution system. The packet arrival rate of random access is computed using the estimated number of random access packets in each slot. Using the proposed estimator, the number of random access packets is estimated based on the received energy vector for sequences and the number of detected sequences. Analysis and simulations show that the proposed estimator presents better performance for determining the number of random access packets than conventional approaches.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2022.3188272