Improved Grant-Free Access for URLLC via Multi-Tier-Driven Computing: Network-Load Learning, Prediction, and Resource Allocation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal on Selected Areas in Communications"
DOI: 10.1109/jsac.2023.3234696
Abstract: Grant-Free (GF) access has been recognized as a promising candidate for Ultra-Reliable and Low-Latency Communications (URLLC). However, even with GF access, URLLC still may not effectively gain high reliability and millimeter-level latency, simultaneously. This is… read more here.
Keywords: network; resource; tier; network load ... See more keywords
Device-Level Learning-Based Distributed Power Control for Uplink NOMA in IoT Networks
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Cognitive Communications and Networking"
DOI: 10.1109/tccn.2025.3566033
Abstract: Non-orthogonal multiple access (NOMA) addresses the massive connectivity issues in Internet of Things (IoT) networks operating under limited radio resources. This paper proposes a statistical learning-based novel power control mechanism for uplink data transmission in… read more here.
Keywords: learning based; network load; iot networks; power ... See more keywords
Enhanced network load balancing technique for efficient performance in software defined network
Sign Up to like & getrecommendations! Published in 2023 at "PLOS ONE"
DOI: 10.1371/journal.pone.0284176
Abstract: Hash collisions and redirection of loads are major limitations for recent Hash IP algorithms. To overcome this, we propose a new Hash IP algorithm dubbed HDW in network load balancing (NLB) to increase network’s efficiency,… read more here.
Keywords: network; defined network; software defined; network load ... See more keywords