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20242026
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eess.SP2026

Optimal Multi-RIS Placement: Coverage-Guaranteed Sum Rate Maximization Under Inhomogeneous User Distributions

Abhishek Rajasekaran, Mehdi Karbalayghareh, Xiaoyan Ma +2

The realization of the full potential of Reconfigurable Intelligent Surfaces (RIS) in a wireless system is tied to their strategic spatial deployment. While existing literature pri…

eess.SP2026

Unlocking Realism and Interpretability in Wireless Channel Synthesis: A Physics-Guided Generative Approach

Satyavrat Wagle, Akshay Malhotra, Shahab Hamidi-Rad +3

In recent years, machine learning (ML) methods have become increasingly popular for wireless communication systems. These require large amounts of data reflecting the behavior of r…

eess.SP2026

Optimal RIS Placement in Multi-User MISO Systems with User Randomness

Abhishek Rajasekaran, Mehdi Karbalayghareh, Xiaoyan Ma +2

It is well established that the performance of reconfigurable intelligent surface (RIS)-assisted systems critically depends on the optimal placement of the RIS. Previous works cons…

eess.SP2025

Constant Modulus Waveform Design with Space-Time Sidelobe Reduction for DFRC Systems

Byunghyun Lee, Anindya Bijoy Das, David Love +2

Dual-function radar-communication (DFRC) is a key enabler of location-based services for next-generation communication systems. In this paper, we investigate the problem of designi…

eess.SP2025

Minimum Description Feature Selection for Complexity Reduction in Machine Learning-based Wireless Positioning

Myeung Suk Oh, Anindya Bijoy Das, Taejoon Kim +2

Recently, deep learning approaches have provided solutions to difficult problems in wireless positioning (WP). Although these WP algorithms have attained excellent and consistent p…

eess.SP2025

Learning-Based Two-Way Communications: Algorithmic Framework and Comparative Analysis

David R. Nickel, Anindya Bijoy Das, David J. Love +1

Machine learning (ML)-based feedback channel coding has garnered significant research interest in the past few years. However, there has been limited research exploring ML approach…