Zobrazeno 1 - 10
of 177
pro vyhledávání: '"Maha Elsabrouty"'
Publikováno v:
IEEE Access, Vol 9, Pp 136334-136345 (2021)
In this paper, the tradeoff between spectrum efficiency (SE) and energy efficiency (EE) is investigated in terms of interference management and power allocation for heterogeneous networks (HetNets) with non-orthogonal multiple access (NOMA). The EE a
Externí odkaz:
https://doaj.org/article/74ce275d360e47268e97775ef32aaef9
Publikováno v:
IEEE Access, Vol 7, Pp 76283-76294 (2019)
In this paper, a downlink cooperative channel estimation scheme is proposed for the three-dimensional massive multiple inputs multiple outputs (3D-mMIMO) system operating in the frequency division duplexing (FDD) mode. In the proposed cooperative sch
Externí odkaz:
https://doaj.org/article/a3a54ba739884a56bf508a1ccfc6fc02
Publikováno v:
IEEE Access, Vol 7, Pp 98495-98506 (2019)
In this paper, a novel interference management technique based on compressive sensing (CS) theory is investigated for downlink non-orthogonal multiple access (NOMA) heterogeneous networks (HetNets). We mathematically formulate the interference manage
Externí odkaz:
https://doaj.org/article/0bb6a74495b24e689e6b09d5fd00da77
Autor:
Hebatullah Sakr, Maha Elsabrouty
Publikováno v:
Journal of Ambient Intelligence and Humanized Computing. 14:4607-4619
Content caching to local repositories closer to the user can significantly improve the utilization of the backbone network, reduce latency, and improve reliability. Nevertheless, proactive caching in fast varying environments, especially in vehicular
Publikováno v:
Journal of Ambient Intelligence and Humanized Computing. 14:2993-3001
Publikováno v:
IEEE Access, Vol 6, Pp 11086-11100 (2018)
In this paper, we propose game-theoretic approaches to model the cooperative spectrum sensing in cognitive radio environment with cognitive secondary users (SU) capable of energy harvesting. An evolutionary game model is considered in the first scena
Externí odkaz:
https://doaj.org/article/8ef28e45f48b4b99b66de6a1af90f143
Publikováno v:
IEEE Access, Vol 6, Pp 50860-50874 (2018)
Recently, attention has been paid to the integration of opportunistic communications, whether based on opportunistic user selection (OUS) or opportunistic antenna selection, with interference alignment (IA) in order to improve the performance of wire
Externí odkaz:
https://doaj.org/article/d2a34118eca24f429888f3e4f88de237
Autor:
Hanan S. Ghanem, Rasha M. Al-Makhlasawy, Walid El-Shafai, Maha Elsabrouty, Hesham F. A. Hamed, Gerges M. Salama, Fathi E. Abd El-Samie
Publikováno v:
Journal of Ambient Intelligence and Humanized Computing. 14:6263-6272
Convolutional Neural Networks (CNNs) are efficient tools for pattern recognition applications. They have found applications in wireless communication systems such as modulation classification from constellation diagrams. Unfortunately, noisy channels
Publikováno v:
2023 IEEE 20th Consumer Communications & Networking Conference (CCNC).
Publikováno v:
2022 10th International Japan-Africa Conference on Electronics, Communications, and Computations (JAC-ECC).