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20182021
most citedDeep-Learning-Aided Detection for Reconfigurable Intelligent Surfaces

53 citations · 163 across the 23 of their papers we have counts for

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6 papers · 1 filter

eess.SP2020★ 1 cited

Energy Efficient Pairing and Power Optimization for NOMA UAV Network under QoS Constraints

Irfan Azam, Muhammad Basit Shahab, Soo Young Shin

Due to an increasing number of unmanned aerial vehicles (UAVs) with generally limited battery power, energy efficient data transmission schemes with massive connectivity capabiliti…

eess.SP2019★ 1 cited

Role Switching and Power Allocation Technique for Mobile Users in NOMA

Irfan Azam, Muhammad Basit Shahab, Soo Young Shin

In this letter, role switching and power allocation schemes are proposed to tackle user mobility in non-orthogonal multiple access (NOMA) systems. When cell center user (CCU) and c…

eess.SP2019★ 53 cited

Deep-Learning-Aided Detection for Reconfigurable Intelligent Surfaces

Saud Khan, Komal S Khan, Noman Haider +1

This paper presents a deep learning (DL) approach for estimating and detecting symbols in signals transmitted through reconfigurable intelligent surfaces (RIS). The proposed networ…

eess.SP2019

Capacity Enhancement of Cooperative NOMA over Rician Fading Channels with Orbital Angular Momentum

Ahmed Al Amin, Bhaskara Narottama, Soo Young Shin

This letter proposes the usage of orbital angular momentum (OAM) for cooperative non-orthogonal multiple access (CNOMA) to enhance sum capacity (SC) for the future cellular communi…

eess.SP2018

Device-to-Device Communication Facilitating Full-Duplex Cooperative Relaying Using Non-Orthogonal Multiple Access

Mohammed Belal Uddin, Md. Fazlul Kader, Soo Young Shin

This letter presents a device-to-device (D2D) enabling cellular full-duplex (FD) cooperative protocol using non-orthogonal multiple access (NOMA), where an FD relay assists in rela…

eess.SP2018

Performance Enhancement of Downlink NOMA by Combination with GSSK

Jin Woo Kim, Soo Young Shin, Victor C. M. Leung

In non-orthogonal multiple access (NOMA), cell-edge users experience significantly low spectral density because only some part of the total transmit power is allocated. This leads…