5 papers
Gamma-Distributed Geometric Constellation for ISAC: Design and Analysis
Amirhossein Keshavarzchafjiri, Janith K. Dassanayake, Gayan A. Aruma Baduge +1
A novel Gamma-distributed geometric constellation design framework for integrated sensing and communication (ISAC) is proposed in this paper. In this framework, constellation point…
End-to-End NOMA with Perfect and Quantized CSI Over Rayleigh Fading Channels
Selma Benouadah, Mojtaba Vaezi, Ruizhan Shen +1
An end-to-end autoencoder (AE) framework is developed for downlink non-orthogonal multiple access (NOMA) over Rayleigh fading channels, which learns interference-aware and channel-…
Deep Autoencoder-Based Constellation Design in Multiple Access Channels
Stepan Gorelenkov, Mojtaba Vaezi
In multiple access channels (MAC), multiple users share a transmission medium to communicate with a common receiver. Traditional constellations like quadrature amplitude modulation…
Interference-Aware Super-Constellation Design for NOMA
Mojtaba Vaezi, Xinliang Zhang
Non-orthogonal multiple access (NOMA) has gained significant attention as a potential next-generation multiple access technique. However, its implementation with finite-alphabet in…
Selective Experience Sharing in Reinforcement Learning Enhances Interference Management
Madan Dahal, Mojtaba Vaezi
We propose a novel multi-agent reinforcement learning (RL) approach for inter-cell interference mitigation, in which agents selectively share their experiences with other agents. E…