Search Results for author:
Found 15 papers, 1 papers with code
On the Sum Secrecy Rate Maximisation for Wireless Vehicular Networks
We address these security concerns from a physical layer security aspect by investigating achievable secrecy rates in wireless vehicular networks.
SCA-Based Beamforming Optimization for IRS-Enabled Secure Integrated Sensing and Communication
Integrated sensing and communication (ISAC) is expected to be offered as a fundamental service in the upcoming sixth-generation (6G) communications standard.
A Low-Complexity Solution to Sum Rate Maximization for IRS-assisted SWIPT-MIMO Broadcasting
At the same time, the complexity of the proposed scheme grows linearly with the number of IRS elements while that of the benchmark scheme is proportional to the cube of the number of IRS elements.
Mirror Prox Algorithm for Large-Scale Cell-Free Massive MIMO Uplink Power Control
We consider the problem of max-min fairness for uplink cell-free massive multiple-input multiple-output (MIMO) subject to per-user power constraints.
On the Energy-Efficiency Maximization for IRS-Assisted MIMOME Wiretap Channels
Security and energy efficiency have become crucial features in the modern-era wireless communication.
A Novel SCA-Based Method for Beamforming Optimization in IRS/RIS-Assisted MU-MISO Downlink
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 intelligent surface (RIS) to minimize the transmit power, subject to quality-of-service constraints at individual users in an IRS-assisted multiuser multiple-input single-output downlink communication system.
Massive MIMO for Serving Federated Learning and Non-Federated Learning Users
It is anticipated that future wireless networks will jointly serve both FL and downlink non-FL user groups in the same time-frequency resource.
Serving Federated Learning and Non-Federated Learning Users: A Massive MIMO Approach
We propose a communication scheme that serves the downlink of the non-FL users (UEs) and the uplink of FL UEs in each half of the frequency band.
Power Control for Multigroup Multicast Cell-Free Massive MIMO Downlink
We consider a multigroup multicast cell-free multiple-input multiple-output (MIMO) downlink system with short-term power constraints.
Accelerated Projected Gradient Method for the Optimization of Cell-Free Massive MIMO Downlink
The known methods use off-the-shelf convex solvers, which basically implement an interior-point algorithm, to solve the derived convex problems.
Dynamic Federated Learning-Based Economic Framework for Internet-of-Vehicles
Federated learning (FL) can empower Internet-of-Vehicles (IoV) networks by leveraging smart vehicles (SVs) to participate in the learning process with minimum data exchanges and privacy disclosure.
On the Secrecy Capacity of MIMO Wiretap Channels: Convex Reformulation and Efficient Numerical Methods
In the first method we capitalize on the accelerated DC algorithm which requires solving a sequence of convex subproblems, for which we propose an efficient iterative algorithm where each iteration admits a closed-form solution.
Information Theory Signal Processing Information Theory
Optimization of RIS-aided MIMO Systems via the Cutoff Rate
The main difficulty concerning optimizing the mutual information (MI) in reconfigurable intelligent surface (RIS)-aided communication systems with discrete signaling is the inability to formulate this optimization problem in an analytically tractable manner.
Information Theory Information Theory
Utility Maximization for Large-Scale Cell-Free Massive MIMO Downlink
Simulation results for large-scale cell-free massive MIMO show that the four utility functions can deliver nearly uniformed services to all users.
On Estimating Maximum Sum Rate of MIMO Systems with Successive Zero-Forcing Dirty Paper Coding and Per-antenna Power Constraint
In this paper, we study the sum rate maximization for successive zero-forcing dirty-paper coding (SZFDPC) with per-antenna power constraint (PAPC).
