activity
20222026
most citedWisdomNet: trustable machine learning toward error-free classification

17 citations · 28 across the 15 of their papers we have counts for

collaborators

17 papers

cs.LG2026★ 17 cited

WisdomNet: trustable machine learning toward error-free classification

Truong X. Tran, Ramazan S. Aygun

Misclassification is a critical problem in many machine learning applications. Since even the classifier models with high accuracy (e.g., > 95%) still introduce some misclassificat…

eess.SP2026

Leveraging Movable-Element STARS for RSMA-SWIPT Under Practical System Imperfections

Muhammad Asif, Asim Ihsan, Irfan Muhammad +3

We study a robust multiuser framework for simultaneous wireless information and power transfer (SWIPT), where rate-splitting multiple access (RSMA) is integrated with a movable-ele…

eess.SP2026

Exploiting Movable-Element STARS for Rate Splitting Multiple Access

Muhammad Asif, Asim Ihsan, Irfan Muhammad +4

This paper investigates a movable-element simultaneously transmitting and reflecting reconfigurable intelligent surface (ME-STARS) assisted rate-splitting multiple access (RSMA) sy…

eess.SP2026

Robust Transmission Design for RIS-Assisted RSMA-SWIPT Systems With Movable Antennas Under Hardware Distortions

Muhammad Asif, Asim Ihsan, Irfan Muhammad +4

This paper investigates a robust transmission design for a multi-user rate-splitting multiple access (RSMA)-based simultaneous wireless information and power transfer (SWIPT) syste…

eess.SP2026

Adaptive UAV Communications for URLLC: From Preplanned Designs to Real-Time Intelligence

Asim Ihsan, Muhammad Asif, Ali Arshad Nasir +2

Unmanned aerial vehicles (UAVs) are emerging as a key enabler of next-generation wireless networks, particularly for applications that require ultra-reliable and low-latency commun…

eess.SP2026

Online Model Predictive Control for Trajectory and Beamforming Optimization in UAV-Enabled URLLC

Asim Ihsan, Muhammad Asif, Ali Arshad Nasir +2

This paper investigates joint trajectory and active beamforming design for unmanned aerial vehicle (UAV)-enabled ultra-reliable low-latency communication (URLLC) systems under fini…

eess.SP2026

Channel Uncertainty-Aware Robust Beamforming for RIS-Assisted RSMA Communication With Movable Antennas

Muhammad Asif, Asim Ihsan, Zhongliang Wang +4

This work investigates a robust resource allocation framework for a downlink multi-user communication system integrating movable antennas (MAs) and reconfigurable intelligent surfa…

eess.SP2025

Robust Beamforming Optimization for STAR-RIS Empowered Multi-User RSMA Under Hardware Imperfections and Channel Uncertainty

Muhammad Asif, Asim Ihsan, Zhu Shoujin +4

This study explores the synergy between rate-splitting multiple access (RSMA) and simultaneous transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) as a unifie…

eess.SP2025

Robust Design of Beyond-Diagonal Reconfigurable Intelligent Surface Empowered RSMA-SWIPT System Under Channel Estimation Errors

Muhammad Asif, Zain Ali, Asim Ihsan +5

This work explores the integration of rate-splitting multiple access (RSMA), simultaneous wireless information and power transfer (SWIPT), and beyond-diagonal reconfigurable intell…

eess.SP2025

RIS-based Physical Layer Security for Integrated Sensing and Communication: A Comprehensive Survey

Yongxiao Li, Feroz Khan, Manzoor Ahmed +5

Integrated Sensing and Communication (ISAC) is a crucial component of future wireless networks, enabling seamless integration of Communication and Sensing (C\&S) functionalities. H…

eess.SP2024

Integration of Beyond Diagonal RIS and UAVs in 6G NTNs: Enhancing Aerial Connectivity

Wali Ullah Khan, Eva Lagunas, Asad Mahmood +3

The reconfigurable intelligent surface (RIS) technology shows great potential in sixth-generation (6G) terrestrial and non-terrestrial networks (NTNs) since it can effectively chan…

cs.IT2022★ 1 cited

Energy-Efficient Beamforming and Resource Optimization for AmBSC-Assisted Cooperative NOMA IoT Networks

Muhammad Asif, Asim Ihsan, Wali Ullah Khan +3

In this manuscript, we present an energy-efficient alternating optimization framework based on the multi-antenna ambient backscatter communication (AmBSC) assisted cooperative non-…

cs.IT2022★ 6 cited

Energy-Efficient Backscatter-Assisted Coded Cooperative-NOMA for B5G Wireless Communications

Muhammad Asif, Asim Ihsan, Wali Ullah Khan +3

In this manuscript, we propose an alternating optimization framework to maximize the energy efficiency of a backscatter-enabled cooperative Non-orthogonal multiple access (NOMA) sy…

cs.IT2022

Rate Splitting Multiple Access for Next Generation Cognitive Radio Enabled LEO Satellite Networks

ali Ullah Khan, Zain Ali, Eva Lagunas +6

This paper proposes a cognitive radio enabled LEO SatCom using RSMA radio access technique with the coexistence of GEO SatCom network. In particular, this work aims to maximize the…

cs.IT2022

Cooperative Backscatter NOMA with Imperfect SIC: Towards Energy Efficient Sum Rate Maximization in Sustainable 6G Networks

Manzoor Ahmed, Zain Ali, Wali Ullah Khan +5

The combination of backscatter communication with non-orthogonal multiple access (NOMA) has the potential to support low-powered massive connections in upcoming sixth-generation (6…

eess.SP2022★ 1 cited

LSTM-Based Distributed Conditional Generative Adversarial Network For Data-Driven 5G-Enabled Maritime UAV Communications

Iftikhar Rasheed, Muhammad Asif, Asim Ihsan +3

5G enabled maritime unmanned aerial vehicle (UAV) communication is one of the important applications of 5G wireless network which requires minimum latency and higher reliability to…

eess.SP2022★ 3 cited

Integration of NOMA with Reflecting Intelligent Surfaces: A Multi-cell Optimization with SIC Decoding Errors

Wali Ullah Khan, Eva Lagunas, Asad Mahmood +3

Reflecting intelligent surfaces (RIS) has gained significant attention due to its high energy and spectral efficiency in next-generation wireless networks. By using low-cost passiv…