Zobrazeno 1 - 10
of 542
pro vyhledávání: '"Ahmed El Shafie"'
Publikováno v:
IEEE Access, Vol 7, Pp 17215-17229 (2019)
We investigate the physical-layer security of an uplink wireless time-division multiple-access channel with energy-harvesting source nodes. We consider a set of source nodes equipped with rechargeable batteries and information buffers communicating c
Externí odkaz:
https://doaj.org/article/836810fa9899413ca9a9d97da615715a
Security-Enhanced SC-FDMA Transmissions Using Temporal Artificial-Noise and Secret Key Aided Schemes
Publikováno v:
IEEE Access, Vol 7, Pp 14807-14824 (2019)
We investigate the physical-layer security of uplink single-carrier frequency-division multiple-access (SC-FDMA) systems. Multiple users, Alices, send confidential messages to a common legitimate base-station, Bob, in the presence of an eavesdropper,
Externí odkaz:
https://doaj.org/article/b992b5c2c30f4c76a5d31c5a4b4ddb44
Publikováno v:
IEEE Access, Vol 5, Pp 23776-23791 (2017)
We derive closed-form expressions for the achievable rates of a buffer-aided full-duplex (FD) multiple-input multiple-output Gaussian relay channel. The FD relay still suffers from residual self-interference (RSI) after the application of self-interf
Externí odkaz:
https://doaj.org/article/ecc76ddbca5e4e26b2166a398d4cdd7a
Publikováno v:
IEEE Access, Vol 5, Pp 24353-24367 (2017)
We propose a new scheme to secure a wireless-powered untrusted cooperative-communication network, where a legitimate source node (Alice) transmits her information messages to a legitimate destination node (Bob) through the multiple amplify-and-forwar
Externí odkaz:
https://doaj.org/article/427c047ca01d4d519f7de1964386b2c4
Publikováno v:
IEEE Access, Vol 5, Pp 5678-5689 (2017)
We investigate the impact of the wireless network's physical layer (PHY) security and reliability on demand-side management operation in the smart grid. We assume that consumers communicate their energy demands with the utility, and we investigate th
Externí odkaz:
https://doaj.org/article/94207b7a900c4d15bd3cfe7c06f38b06
Publikováno v:
IEEE Access, Vol 4, Pp 6386-6400 (2016)
We assume a set of cognitive relay nodes that assists both primary and secondary transmissions in a time-slotted cognitive radio networks. To regulate the channel access of the various nodes in the network, we propose an overlapped spectrum sensing s
Externí odkaz:
https://doaj.org/article/d56e6afb333141f3b2a06e5003e1fa7a
Autor:
Ahmed El Shafie
Publikováno v:
EAI Endorsed Transactions on Cognitive Communications, Vol 1, Iss 1, Pp 1-16 (2014)
We consider a secondary user (SU) with energy harvesting capability. We design access schemes for the SU which incorporate random spectrum sensing and random access, and which make use of the primary automatic repeat request (ARQ) feedback. We study
Externí odkaz:
https://doaj.org/article/fa966f059f3e4e669c986c4c5624ee3e
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-26 (2024)
Abstract Accurate river streamflow prediction is pivotal for effective resource planning and flood risk management. Traditional river streamflow forecasting models encounter challenges such as nonlinearity, stochastic behavior, and convergence reliab
Externí odkaz:
https://doaj.org/article/e6496f92d6f04ae98815e7078e7b3d13
Autor:
Haitham Abdulmohsin Afan, Wan Hanna Melini Wan Mohtar, Faidhalrahman Khaleel, Ammar Hatem Kamel, Saif Saad Mansoor, Riyadh Alsultani, Ali Najah Ahmed, Mohsen Sherif, Ahmed El-Shafie
Publikováno v:
Heliyon, Vol 10, Iss 18, Pp e36940- (2024)
Monitoring and managing wastewater treatment plants (WWTPs) is crucial for environmental protection. The presection of the quality of treated water is essential for energy efficient operation. The current research presents a comprehensive comparison
Externí odkaz:
https://doaj.org/article/f7c397a6925e4f1dbec1b90f59ccf84b
Autor:
Sarmad Dashti Latif, Mohammad Abdullah Almubaidin, Chua Guang Shen, Michelle Sapitang, Ahmed H. Birima, Ali Najah Ahmed, Mohsen Sherif, Ahmed El-Shafie
Publikováno v:
Ain Shams Engineering Journal, Vol 15, Iss 9, Pp 102916- (2024)
The objective of the current study is to investigate the effectiveness of specifically the Support Vector Machine (SVM) and the k-Nearest Neighbors (kNN) models for sea level prediction. The SVM and kNN models are compared using the predicted data de
Externí odkaz:
https://doaj.org/article/5a8686320a214774b2e9aa0d798379b8