Related Experiment Video
Updated: Jul 21, 2025
16:17
The ITS2 Database
Published on: March 12, 2012
30.9K
Weighted Sum Secrecy Rate Maximization for Joint ITS- and IRS-Empowered System
Shaochuan Yang1,2, Kaizhi Huang1, Hehao Niu3
1Wireless Communication Technology Office, Information Engineering University, Zhengzhou 450001, China.
Entropy (Basel, Switzerland)
|July 29, 2023
Summary
This study introduces an intelligent surface-assisted secure communication network to boost secrecy. The proposed methods optimize beamforming and power allocation for enhanced security and energy efficiency in multiuser systems.
Area of Science:
- Wireless Communication
- Information Security
- Metamaterials
Background:
- Secure communication networks are crucial for data privacy.
- Existing systems face challenges in enhancing secrecy, especially in multiuser environments.
- Intelligent surfaces offer novel solutions for signal manipulation and energy efficiency.
Purpose of the Study:
- To investigate a novel intelligent surface-assisted multiuser multiple-input single-output multiple-eavesdropper (MU-MISOME) secure communication network.
- To maximize the weighted sum secrecy rate (WSSR) by optimizing transmit power, intelligent transmission surface (ITS) beamforming, and intelligent reflecting surface (IRS) phase shifts.
- To develop an efficient algorithm for solving the complex optimization problem.
Main Methods:
- Formulating a WSSR maximization problem.
- Employing the successive convex approximation (SCA) technique to approximate the objective function as concave.
- Utilizing an alternating optimization (AO) algorithm combined with Karush-Kuhn-Tucker (KKT) conditions, alternating direction method of multipliers (ADMM), and majorization-minimization (MM) for subproblem solutions.
Main Results:
- The proposed successive convex approximation (SCA) and alternating optimization (AO) algorithm effectively solves the WSSR maximization problem.
- Achieved closed-form solutions for subproblems using KKT, ADMM, and MM techniques.
- Simulation results demonstrate the convergence and superior secrecy performance of the proposed schemes.
Conclusions:
- The intelligent surface-assisted MU-MISOME network significantly enhances communication security.
- The developed optimization framework and algorithms provide an efficient approach to maximize secrecy rate and energy efficiency.
- This research offers a promising direction for future secure wireless communication systems.
Related Concept Videos
01:20Integrated Healthcare System
1.7K
An integrated healthcare system (IHS) is a set of organizations that provides for or arranges to provide coordinated and continuous service to a defined population. The IHS takes responsibility for that particular population's health status and outcome, both clinically and fiscally. An integrated healthcare system is a well-organized, well-coordinated, and collaborative network. The integrated delivery system is a network that connects different healthcare providers to deliver organized,...
1.7K
01:30Health Information Technology and Healthcare Information System
871
Health Information Technology (HIT)
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
871
01:16Maximum Power Transfer
287
Numerous practical applications within engineering disciplines, such as telecommunications, necessitate optimizing power delivery to a connected load. This pursuit, however, entails inherent internal losses, which can either equal or exceed the power supplied to the load. The Thevenin equivalent circuit is helpful in finding the maximum power a linear circuit can deliver to a load. It is assumed in this context that the load resistance can be adjusted.
By substituting the entire circuit with...
By substituting the entire circuit with...
287
01:10Propagation of Uncertainty from Systematic Error
554
The atomic mass of an element varies due to the relative ratio of its isotopes. A sample's relative proportion of oxygen isotopes influences its average atomic mass. For instance, if we were to measure the atomic mass of oxygen from a sample, the mass would be a weighted average of the isotopic masses of oxygen in that sample. Since a single sample is not likely to perfectly reflect the true atomic mass of oxygen for all the molecules of oxygen on Earth, the mass we obtain from this...
554
01:20The Maximum Power Transfer Theorem
659
Consider a linear AC Thevenin equivalent circuit connected to a load impedance.
The load connected draws the current, and the circuit delivers the power to the load. The alternating current flowing through the load is determined using the rectangular form of voltages, currents, network impedance, and load impedance. The average power delivered to the load is obtained from the product of the square of current and load resistance.
The load connected draws the current, and the circuit delivers the power to the load. The alternating current flowing through the load is determined using the rectangular form of voltages, currents, network impedance, and load impedance. The average power delivered to the load is obtained from the product of the square of current and load resistance.
659
00:59Propagation of Uncertainty from Random Error
726
An experiment often consists of more than a single step. In this case, measurements at each step give rise to uncertainty. Because the measurements occur in successive steps, the uncertainty in one step necessarily contributes to that in the subsequent step. As we perform statistical analysis on these types of experiments, we must learn to account for the propagation of uncertainty from one step to the next. The propagation of uncertainty depends on the type of arithmetic operation performed on...
726