Abeer Mohamed
Shandong University
15 Papers
10 Citations
Abeer Mohamed is an academic researcher from Shandong University. The author has contributed to research in topics: Computer science & Spectral efficiency. The author has co-authored 3 publications.
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Papers
Supervised Learning Classifier Based Transmit Antenna Selection for SM-MIMO System
Abeer Mohamed,Zhiquan Bai,Jean Paul Twarayisenze,Ke Pang,Guangyu Li,Oloruntomilayo Femi-Philips,Xinghai Yang +6 more
- 28 Jun 2021
TL;DR: Two SLC schemes, random forest decision (RFD) and deep neural network (DNN) with adaptive momentum (ADAM) optimization, are employed to solve the TAS problem and the proposed DNN-TAS scheme achieves the suboptimal ABER performance at high signal-to-noise ratio (SNR) region compared with the optimal high complexity EDAS algorithm.
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Reconfigurable Intelligent Surface Enabled Joint Backscattering and Communication
Jinqiu Zhao,Jia Ye,Shuaishuai Guo,Zhiquan Bai,Di Zhou,Abeer Mohamed +5 more
TL;DR: A RIS-enabled joint backscattering and communication (JBAC) system, where the backscatter communication coexists with the primary communication and occupies no extra spectrum is proposed, and an iterative active beamforming and reflecting pattern design is presented to maximize the user average transmission rate of thePrimary communication and the goodput of the back scatter communication by solving the formulated multi-objective optimization problem (MOOP).
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Low complexity deep neural network based transmit antenna selection and signal detection in SM-MIMO system
Abeer Mohamed,Zhiquan Bai,Oloruntomilayo Femi-Philips,Ke Pang,Yingchao Yang,Di Zhou,Kyung Sup Kwak +6 more
TL;DR: In this paper , a deep neural network based transmit antenna selection (DNN-AS) and signal detection scheme was proposed to balance the system performance and the complexity in spatial modulation multiple-input multiple-output (MIMO) systems.
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Artificial Neural Network Based Adaptive Spatial Modulation
Jean Paul Twarayisenze,Bai Zhiquan,Abeer Mohamed,Ke Pang,Wang Jing-jing,Yang Xinghai,Kwak Kyungsup +6 more
- 23 Apr 2021
TL;DR: In this paper, a supervised learning aided feed-forward artificial neural network (ANN) is proposed to design the MOS in ASM and achieve an effective tradeoff between the system computational complexity and the bit error rate (BER) performance.
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Error Vector Magnitude-Based Low Complexity Adaptive Power Allocation in SM-MIMO System
Abeer Mohamed,Zhiquan Bai,Jianing Guo,Ke Pang,Oloruntomilayo Femi-Philips,T. Paul,Xinhong Hao +6 more
TL;DR: In this article , an error vector magnitude (EVM)-based adaptive power allocation (PA) algorithm was proposed for spatial modulation (SM) multiple-input-multiple-output (MIMO) system to optimize the minimum squared Euclidean distance and reduce the system complexity.
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