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Navneet Garg

4 accepted papers

2021

Cooperative Scenarios for Multi-Agent Reinforcement Learning in Wireless Edge Caching

ICASSP 2021accepted

Wireless edge caching is an important strategy to fulfill the demands in the next generation wireless systems. Recent studies have indicated that among a network of small base stations (SBSs), joint content placement improves the cache hit performance via reinforcement learning, since content reques…

Cited by 0SourceScholar
2020

In-Network Caching for Hybrid Satellite-Terrestrial Networks Using Deep Reinforcement Learning

ICASSP 2020accepted

Large number of redundant requests in wireless networks have led to the hybrid satellite-terrestrial networks, where a satellite is used for content placement at edge caches at the base stations (BSs), thereby reducing backhaul link usage. In this paper, we consider in-network caching where an unava…

Cited by 0SourceScholar
2019

Content Placement Learning for Success Probability Maximization in Wireless Edge Caching Networks

ICASSP 2019accepted

To meet increasing demands of wireless multimedia communications, caching of important contents in advance is one of the key solutions. Optimal caching depends on content popularity in future which is unknown in advance. In this paper, modeling content popularity as a finite state Markov chain, rein…

Cited by 0SourceScholar
2019

MSE Based Precoding Schemes for Partially Correlated Transmissions in Interference Channels

ICASSP 2019accepted

In this paper, we consider interference channel model in which transmissions from multiple users are partially correlated. This correlation arises in wireless sensor network (WSN) scenarios and temporally correlated models. Considering this model, two minimum mean squared error (MSE) based precoding…

Cited by 0SourceScholar