4 papers
Synergistic Benefits in IRS- and RS-enabled C-RAN with Energy-Efficient Clustering
Kevin Weinberger, Alaa Alameer Ahmad, Aydin Sezgin +1
The potential of intelligent reflecting surfaces (IRSs) is investigated as a promising technique for enhancing the energy efficiency of wireless networks. Specifically, the IRS ena…
On Synergistic Benefits of Rate Splitting in IRS-assisted Cloud Radio Access Networks
Kevin Weinberger, Alaa Alameer Ahmad, Aydin Sezgin
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 employi…
Rate Splitting Multiple Access in C-RAN: A Scalable and Robust Design
Alaa Alameer Ahmad, Yijie Mao, Aydin Sezgin +1
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 te…
A Reinforcement Learning based approach for Multi-target Detection in Massive MIMO radar
Aya Mostafa Ahmed, Alaa Alameer Ahmad, Stefano Fortunati +3
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-act…