1 citations · 1 across the 3 of their papers we have counts for
3 papers
Deep Learning-Based Multi-User Communication Design for Dense IoT Networks: Interference-Aware Finite-Blocklength Communication and Preliminary MIMO Extensions
Arkadeep Sinha, Shubham Paul, R. Manivasakan
Dense IoT networks require reliable communication despite limited spectrum and substantial multi-user interference while maintaining manageable receiver complexity. This work intro…
Multi Agent DeepRL based Joint Power and Subchannel Allocation in IAB networks
Lakshya Jagadish, Banashree Sarma, R. Manivasakan
Integrated Access and Backhauling (IAB) is a viable approach for meeting the unprecedented need for higher data rates of future generations, acting as a cost-effective alternative…
Performance evaluation of the QOS provisioning ability of IEEE 802.11e WLAN standard for multimedia traffic
Venkata Sitaram. A, Venkatesh. T. G, Arun George +2
This paper presents an analytical model for the average frame transmission delay and the jitter for the different Access Categories (ACs) of the IEEE 802.11e Enhanced Distributed C…