60 citations · 150 across the 8 of their papers we have counts for
9 papers
Communication-Efficient Zero-Order and First-Order Federated Learning Methods over Wireless Networks
Mohamad Assaad, Zeinab Nehme, Merouane Debbah
Federated Learning (FL) is an emerging learning framework that enables edge devices to collaboratively train ML models without sharing their local data. FL faces, however, a signif…
Deep Learning Based Online Power Control for Large Energy Harvesting Networks
Mohit K Sharma, Alessio Zappone, Merouane Debbah +1
In this paper, we propose a deep learning based approach to design online power control policies for large EH networks, which are often intractable stochastic control problems. In…
Risk-Sensitive Reinforcement Learning for URLLC Traffic in Wireless Networks
Nesrine Ben-Khalifa, Mohamad Assaad, Mérouane Debbah
In this paper, we study the problem of dynamic channel allocation for URLLC traffic in a multi-user multi-channel wireless network where urgent packets have to be successfully tran…
Queueing Stability and CSI Probing of a TDD Wireless Network with Interference Alignment
Matha Deghel, Mohamad Assaad, Mérouane Debbah +1
This paper characterizes the performance of interference alignment (IA) technique taking into account the dynamic traffic pattern and the probing/feedback cost. We consider a time-…
Transmit Power Minimization in Small Cell Networks Under Time Average QoS Constraints
Subhash Lakshminarayana, Mohamad Assaad, Merouane Debbah
We consider a small cell network (SCN) consisting of N cells, with the small cell base stations (SCBSs) equipped with Nt \geq 1 antennas each, serving K single antenna user termina…
On the Benefits of Edge Caching for MIMO Interference Alignment
Matha Deghel, Ejder Baştuğ, Mohamad Assaad +1
In this contribution, we jointly investigate the benefits of caching and interference alignment (IA) in multiple-input multiple-output (MIMO) interference channel under limited bac…
Coordinated Multi-cell Beamforming for Massive MIMO: A Random Matrix Approach
Subhash Lakshminarayana, Mohamad Assaad, Merouane Debbah
We consider the problem of coordinated multi- cell downlink beamforming in massive multiple input multiple output (MIMO) systems consisting of N cells, Nt antennas per base station…
Canonical Dual Method for Resource Allocation and Adaptive Modulation in Uplink SC-FDMA Systems
Ayaz Ahmad, Mohamad Assaad
In this paper, we study resource allocation and adaptive modulation in SC-FDMA which is adopted as the multiple access scheme for the uplink in the 3GPP-LTE standard. A sum-utility…
Joint Scheduling and Resource Allocation in the OFDMA Downlink: Utility Maximization under Imperfect Channel-State Information
Rohit Aggarwal, Mohamad Assaad, C. Emre Koksal +1
We consider the problem of simultaneous user-scheduling, power-allocation, and rate-selection in an OFDMA downlink, with the goal of maximizing expected sum-utility under a sum-pow…