H
Hayssam Dahrouj
Researcher at King Abdullah University of Science and Technology
Publications - 111
Citations - 2674
Hayssam Dahrouj is an academic researcher from King Abdullah University of Science and Technology. The author has contributed to research in topics: Backhaul (telecommunications) & Radio access network. The author has an hindex of 19, co-authored 100 publications receiving 1971 citations. Previous affiliations of Hayssam Dahrouj include Ruhr University Bochum & Effat University.
Papers
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Journal ArticleDOI
Coordinated beamforming for the multicell multi-antenna wireless system
Hayssam Dahrouj,Wei Yu +1 more
TL;DR: Simulation results suggest that coordinating the beamforming vectors alone already provide appreciable performance improvements as compared to the conventional per-cell optimized network.
Journal ArticleDOI
CubeSat Communications: Recent Advances and Future Challenges
Nasir Saeed,Ahmed Elzanaty,Heba Almorad,Hayssam Dahrouj,Tareq Y. Al-Naffouri,Mohamed-Slim Alouini +5 more
TL;DR: This paper presents a holistic overview of various aspects of CubeSat missions and provides a thorough review of the topic from both academic and industrial perspectives, and presents recent advances in the area of Cubesat communications.
Proceedings ArticleDOI
Coordinated beamforming for the multi-cell multi-antenna wireless system
Hayssam Dahrouj,Wei Yu +1 more
TL;DR: Simulation results show that a coordinated beamforming system can significantly outperform a conventional system with per-cell signal processing and also naturally leads to a distributed implementation.
Journal ArticleDOI
Cost-effective hybrid RF/FSO backhaul solution for next generation wireless systems
TL;DR: A cost-effective hybrid RF/free-space optical (FSO) solution to combine the advantages of RF backhauls (low cost, NLOS applications) and FSO backhauling (high-rate, low latency) is proposed.
Journal ArticleDOI
Intelligent Surfaces for 6G Wireless Networks: A Survey of Optimization and Performance Analysis Techniques
Rawan Alghamdi,Reem Alhadrami,Dalia Alhothali,Heba Almorad,Alice Faisal,Sara Helal,Rahaf Shalabi,Rawan Asfour,Noofa Hammad,Asmaa Shams,Nasir Saeed,Hayssam Dahrouj,Tareq Y. Al-Naffouri,Mohamed-Slim Alouini +13 more
TL;DR: This paper provides a unique blend that surveys the principles of operation of LIS, together with their optimization and performance analysis frameworks, and presents various optimization frameworks that aim to optimize specific objectives, namely, maximizing energy efficiency, sum- rate, secrecy-rate, and coverage.