2 wireless-communication positions at Ulster University

Energy efficient solutions to illuminate shadow regions for beyond 5G and 6G mobile communications

. Li, H. Hu, J. Zhang and J. Zhang, "RIS-Assisted mmWave Networks With Random Blockages: Fewer Large RISs or More Small RISs?," in IEEE Transactions on Wireless Communications, vol. 22, no. 2, pp. 986

Machine Learning inspired Channel Estimation in Future Wireless networks

years, machine learning (ML) methods are found to be effective in wireless communication, particularly for channel estimation in RIS integrated NOMA communication system. However, still required further