Semi-distributed Contention-based Resource Allocation for Ultra Reliable Low Latency Communications
Patrick Brown, Salah-Eddine Elayoubi
Abstract
Ultra-Reliable Low Latency Communications (URLLC) and especially those related to the Industrial Internet of Things (IIoT) are characterized by a large number of users transmitting sporadically information to a central controller. We consider in this paper scenarios where transmitted packets have to be conveyed within a very short time so that it is not possible to make per-packet resource reservation, i.e. contention-based access is needed. Moreover, in case of loss, there is no room for waiting for acknowledgement before retransmissions so that blind replication is needed for reaching the ultra high reliability targets. Knowing the limited, but large, number of potential users in the system, we propose a semi-centralized resource allocations scheme where each user is pre-allocated positions for its replicas in case he has a packet to convey. We show, using coding theory, how to design sequences for users so that the number of collisions is minimized. We further exploit our pre-allocation scheme to develop a successive interference cancellation method where the base station tries to decode a packet based on the knowledge of the already decoded colliding packet. We show that the proposed schemes succeed to attain very low loss rates with low resource reservation.
Ask about this paper
Your agent reads all of it.
Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.
Your agent calls
Luneget_paper_fulltext
Free to start. No credit card required.
Terminal
Install the CLIlune papers fulltext c8ca88de-bf14-48d4-ac36-daa1cad0e9afRelated papers
- Contention-Free Configured Grant Scheduling for 5G URLLC TrafficTianyu Zhang, Xiaobo Sharon Hu, Song HanDAC 2023 · 9 citations
- RaP: Learning-based Joint Reservation and Puncturing for Efficient URLLC/eMBB MultiplexingEhsan Ghoreishi, Bahman Abolhassani, Wenjing Lou, Y. Thomas HouINFOCOM 2026
- Concurrent interference cancellation: decoding multi-packet collisions in LoRaMuhammad Osama Shahid, Millan Philipose, Krishna Chintalapudi, Suman Banerjee et al.SIGCOMM 2021 · 93 citations
- ORANUS: Latency-tailored Orchestration via Stochastic Network Calculus in 6G O-RANOscar Adamuz-Hinojosa, Lanfranco Zanzi, Vincenzo Sciancalepore, Andres Garcia-Saavedra et al.INFOCOM 2024 · 17 citations
- Low-Overhead Joint Beam-Selection and Random-Access Schemes for Massive Internet-of-Things with Non-Uniform Channel and LoadYihan Zou, Kwang Taik Kim, Xiaojun Lin, Mung Chiang et al.INFOCOM 2020 · 3 citations
