Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Maximum Power Transfer01:16

Maximum Power Transfer

652
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...
652
Maximum Power Flow and Line Loadability01:23

Maximum Power Flow and Line Loadability

294
The maximum power flow for lossy transmission lines is derived using ABCD parameters in phasor form. These parameters create a matrix relationship between the sending-end and receiving-end voltages and currents, allowing the determination of the receiving-end current. This relationship facilitates calculating the complex power delivered to the receiving end, from which real and reactive power components are derived.
294
The Maximum Power Transfer Theorem01:20

The Maximum Power Transfer Theorem

958
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.
958
Pilot and Numeric Relaying01:21

Pilot and Numeric Relaying

233
Pilot relaying is a type of differential protection used in power systems. It compares electrical quantities at the terminals of equipment via a communication channel instead of direct relay interconnection. This method is essential for transmission lines where the terminals are far apart, typically up to 80 km for lines with 69 to 115 kV ratings. Four types of communication channels are used for pilot relaying:
233
Transmission Line Design Considerations01:23

Transmission Line Design Considerations

489
Aluminum has become the material of choice for overhead transmission lines, surpassing copper due to its abundance and cost-effectiveness. The most prevalent type is the aluminum conductor, steel-reinforced (ACSR), which combines aluminum strands around a steel core. Other variants include all-aluminum conductors (AAC), all-aluminum alloy conductors (AAAC), aluminum conductor alloy-reinforced (ACAR), and aluminum-clad steel conductors. Advanced designs, such as aluminum conductors with steel...
489
Power Factor Correction01:20

Power Factor Correction

368
The power transmission to a factory involves the transfer of apparent power, a combination of active and reactive power. The power factor measures how effectively electrical power is converted into useful work output. The ratio of the real power (KW) that does the work to the apparent power (KVA) supplied to the circuit.
368

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Genetically programmed engineered nanodevices trigger cascade reinforcement between AMPK and cGAS-STING activation for colon cancer sonoimmunotherapy.

Biomaterials·2026
Same author

Alternatively spliced killer-protector system confers S19-mediated hybrid male sterility in rice.

Nature communications·2026
Same author

WIPButyrate produced by the Lycium ruthenicum polysaccharide alleviated sleep deprivation-induced chronic fatigue syndrome in mice through promoting microglial autophagy.

Food research international (Ottawa, Ont.)·2026
Same author

TraNce: Type-aware hypergraph neural network with biological mediators for drug repositioning.

Neural networks : the official journal of the International Neural Network Society·2026
Same author

Nasal Continuous Positive Airway Pressure vs Nasal Intermittent Positive Pressure Ventilation in Preterm Infants With Respiratory Distress Syndrome: A Randomized Clinical Trial.

JAMA network open·2026
Same author

RstAB activates type 1 fimbriae to promote uropathogenic <i>Escherichia coli</i> bladder invasion.

iScience·2026

Related Experiment Video

Updated: Nov 27, 2025

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

948

Robust Power Optimization for Downlink Cloud Radio Access Networks with Physical Layer Security.

Yijia Zhang1, Ruiying Liu2

  • 1School of Information Science and Technology, Zhejiang Sci-Tech University, Hangzhou 310018, China.

Entropy (Basel, Switzerland)
|December 8, 2020
PubMed
Summary
This summary is machine-generated.

This study introduces a resource allocation algorithm for secure energy optimization in cloud radio access networks (C-RANs). It addresses eavesdropping risks by jointly optimizing base station mode, beamforming, and artificial noise under imperfect channel conditions.

Keywords:
C-RANCSI uncertaintybeamformingphysical layer security

More Related Videos

Quasi-light Storage for Optical Data Packets
07:45

Quasi-light Storage for Optical Data Packets

Published on: February 6, 2014

11.1K
Effective Analysis of Human Exposure Conditions with Body-worn Dosimeters in the 2.4 GHz Band
06:43

Effective Analysis of Human Exposure Conditions with Body-worn Dosimeters in the 2.4 GHz Band

Published on: May 2, 2018

7.3K

Related Experiment Videos

Last Updated: Nov 27, 2025

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

948
Quasi-light Storage for Optical Data Packets
07:45

Quasi-light Storage for Optical Data Packets

Published on: February 6, 2014

11.1K
Effective Analysis of Human Exposure Conditions with Body-worn Dosimeters in the 2.4 GHz Band
06:43

Effective Analysis of Human Exposure Conditions with Body-worn Dosimeters in the 2.4 GHz Band

Published on: May 2, 2018

7.3K

Area of Science:

  • Wireless Communications
  • Network Security
  • Optimization Algorithms

Background:

  • Cloud radio access networks (C-RANs) face security vulnerabilities due to signal duplication during joint transmission.
  • Eavesdropping on information signals is a significant concern in C-RAN deployments.
  • Optimizing resource allocation for both energy efficiency and physical layer security is crucial.

Purpose of the Study:

  • To develop a resource allocation algorithm for secure energy optimization in downlink C-RANs.
  • To jointly design base station (BS) mode, beamforming, and artificial noise (AN) considering imperfect channel state information (CSI).
  • To minimize power consumption while ensuring quality of service (QoS) and physical layer security (PLS).

Main Methods:

  • Formulated the problem as a nonlinear programming problem for power minimization.
  • Employed smooth ℓ 0-norm approximation and proposed an iterative difference of convex (IDC) algorithm.
  • Utilized a three-stage algorithm involving iterative difference of convex programming with semi-definite relaxation (SDR) and deflation-based post-processing.

Main Results:

  • The proposed IDC algorithm demonstrates provable convergence for difference of convex programming problems.
  • The three-stage algorithm effectively provides sparse solutions for resource allocation.
  • Simulations validate the algorithm's effectiveness in power minimization for secure downlink C-RANs.

Conclusions:

  • The developed algorithm offers a robust solution for secure energy optimization in C-RANs.
  • Joint optimization of BS mode, beamforming, and AN is effective against eavesdropping.
  • The approach addresses practical challenges like imperfect CSI in wireless networks.