Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Ahmad, Alaa Alameer"'
Advancements in Large Language Models (LLMs) are revolutionizing the development of autonomous agentic systems by enabling dynamic, context-aware task decomposition and automated tool selection. These sophisticated systems possess significant automat
Externí odkaz:
http://arxiv.org/abs/2410.22457
The convergence of communication and computation, along with the integration of machine learning and artificial intelligence, stand as key empowering pillars for the sixth-generation of communication systems (6G). This paper considers a network of on
Externí odkaz:
http://arxiv.org/abs/2406.03548
Publikováno v:
IEEE Transactions on Vehicular Technology, 2023
The future sixth generation (6G) of communication systems is envisioned to provide numerous applications in safety-critical contexts, e.g., driverless traffic, modular industry, and smart cities, which require outstanding performance, high reliabilit
Externí odkaz:
http://arxiv.org/abs/2204.11878
Publikováno v:
2022 IEEE International Conference on Communications Workshops (ICC Workshops)
Future sixth generation (6G) wireless communication networks face the need to similarly meet unprecedented quality of service (QoS) demands while also providing a larger energy efficiency (EE) to minimize their carbon footprint. Moreover, due to the
Externí odkaz:
http://arxiv.org/abs/2202.07951
Publikováno v:
Front. Comms. Net. 2 (2021) 1-18
Rate-splitting multiple access (RSMA) has been recognized as a promising physical layer strategy for 6G. Motivated by ever increasing popularity of cache-enabled content delivery in wireless communications, this paper proposes an innovative multigrou
Externí odkaz:
http://arxiv.org/abs/2106.00369
The potential of intelligent reflecting surfaces (IRSs) is investigated as a promising technique for enhancing the energy efficiency of wireless networks. Specifically, the IRS enables passive beamsteering by employing many low-cost individually cont
Externí odkaz:
http://arxiv.org/abs/2105.05619
Autor:
Reifert, Robert-Jeron, Ahmad, Alaa Alameer, Dahrouj, Hayssam, Chaaban, Anas, Sezgin, Aydin, Al-Naffouri, Tareq Y., Alouini, Mohamed-Slim
Publikováno v:
IEEE Transactions on Vehicular Technology, 2022
In light of the premises of beyond fifth generation (B5G) networks, the need for better exploiting the capabilities of cloud-enabled networks arises, so as to cope with the large-scale interference resulting from the massive increase of data-hungry s
Externí odkaz:
http://arxiv.org/abs/2104.03664
The concept of intelligent reflecting surfaces (IRSs) is considered as a promising technology for increasing the efficiency of mobile wireless networks. This is achieved by employing a vast amount of low-cost individually adjustable passive reflect e
Externí odkaz:
http://arxiv.org/abs/2011.14763
Cloud radio access networks (C-RAN) enable a network platform for beyond the fifth generation of communication networks (B5G), which incorporates the advances in cloud computing technologies to modern radio access networks. Recently, rate splitting m
Externí odkaz:
http://arxiv.org/abs/2011.00076
Autor:
Ahmed, Aya Mostafa, Ahmad, Alaa Alameer, Fortunati, Stefano, Sezgin, Aydin, Greco, Maria S., Gini, Fulvio
This paper considers the problem of multi-target detection for massive multiple input multiple output (MMIMO) cognitive radar (CR). The concept of CR is based on the perception-action cycle that senses and intelligently adapts to the dynamic environm
Externí odkaz:
http://arxiv.org/abs/2005.04708