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Found 6 papers, 1 papers with code
Mitigating Pilot Contamination and Enabling IoT Scalability in Massive MIMO Systems
This paper addresses the issue of pilot contamination and scalability in massive MIMO systems.
Blockage Prediction for Mobile UE in RIS-assisted Wireless Networks: A Deep Learning Approach
We employ the residual network 18-layer neural network model to find this optimal probability of blockage prediction.
Enhanced IoT Batteryless D2D Communications Using Reconfigurable Intelligent Surfaces
Batteryless IoT sensors harvest energy through the RIS panel from external sources, such as from nearby BS radio frequency (RF) signal in the first optimal time frame, for a given time frame.
Improvement of Bi-directional Communications using Solar Powered Reconfigurable Intelligent Surfaces
An optimization problem is formulated to jointly minimize a scalarized function of the energy of the communicating pair and the RIS panel and to find the optimal number of reflecting elements used by each user.
Reinforcement Learning Architectures: SAC, TAC, and ESAC
In AC, an actor optimizes the used policy, while a critic estimates a value function and evaluate the optimized policy by the actor.
Scalable and Cost Efficient Algorithms for Virtual CDN Migration
Virtual Content Delivery Network (vCDN) migration is necessary to optimize the use of resources and improve the performance of the overall SDN/NFV-based CDN function in terms of network operator cost reduction and high streaming quality.
Networking and Internet Architecture
