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Design and Performance Evaluation of Contention-based Transmission Schemes for URLLC Services
- Source :
- Performance Evaluation, Performance Evaluation, Elsevier, 2020
- Publication Year :
- 2020
- Publisher :
- HAL CCSD, 2020.
-
Abstract
- We investigate in this paper uplink transmission schemes for 5G Ultra-Reliable Low Latency Communications (URLLC) traffic. The URLLC class of services has been defined for applications requiring extremely stringent latency and reliability. We show that, in systems with episodic traffic and many users compared with the number of transmission resources, randomly transmitting multiple copies of a packet allows to meet the URLLC requirements. We first develop an analytical model for the packet loss rate for a contention based multiple transmission scheme where replica positions are assigned randomly and show that it allows to meet the performance requirements of URLLC for small enough user activity rate. We then propose an advanced replication scheme where positions for the different replicas are pre-allocated to users so that users have pairwise-distinct positions. We show that this advanced scheme achieves very high reliability with low resource consumption.
- Subjects :
- Computer Networks and Communications
Low resource
Computer science
Packet loss rate
050801 communication & media studies
02 engineering and technology
[INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI]
0508 media and communications
0202 electrical engineering, electronic engineering, information engineering
Latency (engineering)
URLLC
business.industry
Network packet
Replica
05 social sciences
020206 networking & telecommunications
grant-free transmission
Hardware and Architecture
Uplink transmission
contention based
Modeling and Simulation
business
Software
5G
Computer network
Subjects
Details
- Language :
- English
- ISSN :
- 01665316
- Database :
- OpenAIRE
- Journal :
- Performance Evaluation, Performance Evaluation, Elsevier, 2020
- Accession number :
- edsair.doi.dedup.....c0a76a863635575bd92fe4bd67c43b27