240 citations · 866 across the 44 of their papers we have counts for
11 papers · 1 filter
SCA-Based Beamforming Optimization for IRS-Enabled Secure Integrated Sensing and Communication
Vaibhav Kumar, Marwa Chafii, A. Lee Swindlehurst +2
Integrated sensing and communication (ISAC) is expected to be offered as a fundamental service in the upcoming sixth-generation (6G) communications standard. However, due to the ex…
A Low-Complexity Solution to Sum Rate Maximization for IRS-assisted SWIPT-MIMO Broadcasting
Vaibhav Kumar, Anastasios Papazafeiropoulos, Muhammad Fainan Hanif +2
This paper focuses on the fundamental problem of maximizing the achievable weighted sum rate (WSR) at information receivers (IRs) in an intelligent reflecting surface (IRS) assiste…
Mirror Prox Algorithm for Large-Scale Cell-Free Massive MIMO Uplink Power Control
Muhammad Farooq, Hien Quoc Ngo, Le-Nam Tran
We consider the problem of max-min fairness for uplink cell-free massive multiple-input multiple-output (MIMO) subject to per-user power constraints. The standard framework for sol…
On the Energy-Efficiency Maximization for IRS-Assisted MIMOME Wiretap Channels
Anshu Mukherjee, Vaibhav Kumar, Derrick Wing Kwan Ng +1
Security and energy efficiency have become crucial features in the modern-era wireless communication. In this paper, we consider an energy-efficient design for intelligent reflecti…
A Novel SCA-Based Method for Beamforming Optimization in IRS/RIS-Assisted MU-MISO Downlink
Vaibhav Kumar, Rui Zhang, Marco Di Renzo +1
In this letter, we consider the fundamental problem of jointly designing the transmit beamformers and the phase-shifts of the intelligent reflecting surface (IRS) / reconfigurable…
Massive MIMO for Serving Federated Learning and Non-Federated Learning Users
Muhammad Farooq, Tung Thanh Vu, Hien Quoc Ngo +1
With its privacy preservation and communication efficiency, federated learning (FL) has emerged as a promising learning framework for beyond 5G wireless networks. It is anticipated…
Serving Federated Learning and Non-Federated Learning Users: A Massive MIMO Approach
Muhammad Farooq, Tung T. Vu, Hien Quoc Ngo +1
Federated learning (FL) with its data privacy protection and communication efficiency has been considered as a promising learning framework for beyond-5G/6G systems. We consider a…
Power Control for Multigroup Multicast Cell-Free Massive MIMO Downlink
Muhammad Farooq, Markku Juntti, Le-Nam Tran
We consider a multigroup multicast cell-free multiple-input multiple-output (MIMO) downlink system with short-term power constraints. In particular, the normalized conjugate beamfo…
Accelerated Projected Gradient Method for the Optimization of Cell-Free Massive MIMO Downlink
Muhammad Farooq, Hien Quoc Ngo, Le-Nam Tran
We consider the downlink of a cell-free massive multiple-input multiple-output (MIMO) system where large number of access points (APs) simultaneously serve a group of users. Two fu…
A Low-Complexity Approach for Max-Min Fairness in Uplink Cell-Free Massive MIMO
Muhammad Farooq, Hien Quoc Ngo, Le Nam Tran
We consider the problem of max-min fairness for uplink cell-free massive multiple-input multiple-output which is a potential technology for beyond 5G networks. More specifically, w…
Utility Maximization for Large-Scale Cell-Free Massive MIMO Downlink
Muhammad Farooq, Hien Quoc Ngo, Een-Kee Hong +1
We consider the system-wide utility maximization problem in the downlink of a cell-free massive multiple-input multiple-output (MIMO) system whereby a very large number of access p…