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20222026
most citedGenerative AI-driven Semantic Communication Framework for NextG Wireless Network

6 citations · 20 across the 20 of their papers we have counts for

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cs.NI2025

DD-JSCC: Dynamic Deep Joint Source-Channel Coding for Semantic Communications

Avi Deb Raha, Apurba Adhikary, Mrityunjoy Gain +3

Deep Joint Source-Channel Coding (Deep-JSCC) has emerged as a promising semantic communication approach for wireless image transmission by jointly optimizing source and channel cod…

cs.NI2025

Security Risks in Vision-Based Beam Prediction: From Spatial Proxy Attacks to Feature Refinement

Avi Deb Raha, Kitae Kim, Mrityunjoy Gain +4

The rapid evolution towards the sixth-generation (6G) networks demands advanced beamforming techniques to address challenges in dynamic, high-mobility scenarios, such as vehicular…

cs.NI2025

A Deep Incremental Framework for Multi-Service Multi-Modal Devices in NextG AI-RAN Systems

Mrityunjoy Gain, Kitae Kim, Avi Deb Raha +4

In this paper, we propose a deep incremental framework for efficient RAN management, introducing the Multi-Service-Modal UE (MSMU) system, which enables a single UE to handle eMBB…

cs.NI2024★ 2 cited

Advancing Ultra-Reliable 6G: Transformer and Semantic Localization Empowered Robust Beamforming in Millimeter-Wave Communications

Avi Deb Raha, Kitae Kim, Apurba Adhikary +3

Advancements in 6G wireless technology have elevated the importance of beamforming, especially for attaining ultra-high data rates via millimeter-wave (mmWave) frequency deployment…

cs.NI2023★ 6 cited

Generative AI-driven Semantic Communication Framework for NextG Wireless Network

Avi Deb Raha, Md. Shirajum Munir, Apurba Adhikary +2

This work designs a novel semantic communication (SemCom) framework for the next-generation wireless network to tackle the challenges of unnecessary transmission of vast amounts th…