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John M. Cioffi

4 accepted papers

2026

Channel Prediction under Network Distribution Shift Using Continual Learning-based Loss Regularization

Muhammad Ahmed Mohsin, Ahsan Bilal, Muhammad Ibtsaam Qadir, Muhammad Ali Jamshed, Dean Hougen, John M. Cioffi
ICASSP 2026oral

Modern wireless networks face critical challenges when mobile users traverse heterogeneous network configurations with varying antenna layouts, carrier frequencies, and scattering statistics. Traditional predictors degrade under distribution shift, with NMSE rising by 37.5\% during cross-configurati…

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2026

Conditional Prior-based Non-stationary Channel Estimation Using Accelerated Diffusion Models

Muhammad Ahmed Mohsin, Ahsan Bilal, Muhammad Umer, Muhammad Ali Jamshed, Dean F. Hougen, John M. Cioffi
ICASSP 2026poster

Wireless channels in motion-rich urban microcell (UMi) settings are non-stationary; mobility and scatterer dynamics shift the distribution over time, degrading classical and deep estimators. This work proposes conditional prior diffusion for channel estimation, which learns a history-conditioned sco…

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2025

Optimum Power-Subcarrier Allocation and Time-Sharing in Multicarrier NOMA Uplink

Sagnik Bhattacharya, Kamyar Rajabalifardi, Muhammad Ahmed Mohsin, John M. Cioffi
ICASSP 2025accepted

Currently used resource allocation methods for uplink multicarrier non-orthogonal multiple access (MC-NOMA) systems have multiple shortcomings. Current approaches either allocate the same power across all subcarriers to a user, or use heuristic-based near-far, strong channel-weak channel user groupi…

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2025

Successive Interference Cancellation-aided Diffusion Models for Joint Channel Estimation and Data Detection in Low Rank Channel Scenarios

Sagnik Bhattacharya, Muhammad Ahmed Mohsin, Kamyar Rajabalifardi, John M. Cioffi
ICASSP 2025accepted

This paper proposes a novel joint channel-estimation and source-detection algorithm using successive interference cancellation (SIC)-aided generative score-based diffusion models. Prior work in this area focuses on massive MIMO scenarios, which are typically characterized by full-rank channels, and…

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