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20202026
most citedBackscatter Sensors Communication for 6G Low-powered NOMA-enabled IoT Networks under Imperfect SIC

61 citations · 127 across the 19 of their papers we have counts for

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Showing 2022Show all

6 papers · 1 filter

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…

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★ 2 cited

Energy-Efficient IRS-Aided NOMA Beamforming for 6G Wireless Communications

Asim Ihsan, Wen Chen, Muhammad Asif +2

This manuscript presents an energy-efficient alternating optimization framework based on intelligent reflective surfaces (IRS) aided non-orthogonal multiple access beamforming (NOM…

eess.SP2022

NOMA-enabled Backscatter Communications for Green Transportation in Automotive-Industry 5.0

Wali Ullah Khan, Asim Ihsan, Tu N. Nguyen +2

Automotive-Industry 5.0 will use emerging 6G communications to provide robust, computationally intelligent, and energy-efficient data sharing among various onboard sensors, vehicle…