1 citations · 1 across the 15 of their papers we have counts for
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Deep Reinforcement Learning Powered IRS-Assisted Downlink NOMA
Muhammad Shehab, Bekir S. Ciftler, Tamer Khattab +2
In this work, we examine an intelligent reflecting surface (IRS) assisted downlink non-orthogonal multiple access (NOMA) scenario with the aim of maximizing the sum rate of users.…
On Optimizing the Secrecy Performance of RIS-Assisted Cooperative Networks
Abdullateef Almohamad, Ayman Al-Kababji, Anas Tahir +2
Employing reconfigurable intelligent surfaces (RIS) is emerging as a game-changer candidate, thanks to their unique capabilities in improving the power efficiency and supporting th…
On the Performance of Quickest Detection Spectrum Sensing: The Case of Cumulative Sum
Ahmed Badawy, Ahmed El Shafie, Tamer Khattab
Quickest change detection (QCD) is a fundamental problem in many applications. Given a sequence of measurements that exhibits two different distributions around a certain flipping…
Estimating the Number of Sources: An Efficient Maximization Approach
Tara Salman, Ahmed Badawy, Tarek M. Elfouly +2
Estimating the number of sources received by an antenna array have been well known and investigated since the starting of array signal processing. Accurate estimation of such param…
Thresholds Optimization for One-Bit Feedback Multi-User Scheduling
Mohammed Hafez, Ahmed El Shafie, Mohammed Shaqfeh +3
We propose a new one-bit feedback scheme with scheduling decision based on the maximum expected weighted rate. We show the concavity of the -user case and provide the optimal so…
On the Degrees of Freedom of SISO X-networks with Synergistic Alternating Channel State Information at transmitters
Ahmed Wagdy Shaban, Amr El-Keyi, Tamer Khattab +1
In this paper, we consider the two-user single-input single-output (SISO) X-channel and -user SISO X-network in fast fading environment. It is assumed that the transmitters have…