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Related Concept Videos

Maximum Power Transfer01:16

Maximum Power Transfer

484
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...
484
Relation Between the Distributed Load and Shear01:23

Relation Between the Distributed Load and Shear

825
Understanding the relationship between the distributed load and shear force in structural analysis is crucial for analyzing beams subjected to various loading conditions. Consider the case of a beam experiencing a distributed load, two concentrated loads, and a couple moment.
825
Distributed Loads01:19

Distributed Loads

685
Distributed loads are a common type of load that engineers and scientists encounter in various practical situations. Distributed loads often refer to a type of load spread over a surface or a structure and can be modeled as continuous force per unit area.
For example, consider a bookshelf filled with books stacked vertically adjacent to each other. The weight of the books is evenly distributed over the length of the shelf. As a result, the pressure at different locations on the surface of the...
685
The Maximum Power Transfer Theorem01:20

The Maximum Power Transfer Theorem

818
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.
818
Cable Subjected to a Distributed Load01:24

Cable Subjected to a Distributed Load

838
The analysis of suspension bridges is a complex and critical process that involves multiple factors, including the shape and tension of the main cables. The main cables of suspension bridges are subjected to distributed loads, which result in changes in tensile forces and deformation of the cable. These loads must be carefully considered to ensure that the bridge is safe and capable of supporting the weight of different loads.
838
Fast Decoupled and DC Powerflow01:24

Fast Decoupled and DC Powerflow

330
The fast decoupled power flow method addresses contingencies in power system operations, such as generator outages or transmission line failures. This method provides quick power flow solutions, essential for real-time system adjustments. Fast decoupled power flow algorithms simplify the Jacobian matrix by neglecting certain elements, leading to two sets of decoupled equations:
330

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Related Experiment Video

Updated: Oct 10, 2025

Quasi-light Storage for Optical Data Packets
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Joint Power and Subchannel Allocation for Distributed Storage in Cellular-D2D Underlays.

Fengxia Han1, Hao Deng1, Jianfeng Shi2,3

  • 1School of Software Engineering, Tongji University, Shanghai 201804, China.

Sensors (Basel, Switzerland)
|December 10, 2021
PubMed
Summary

This study introduces a wireless distributed storage system using minimum storage regenerating coding and non-orthogonal multiple access (NOMA). The NOMA-enhanced scheme significantly reduces total power consumption for content reconstruction.

Keywords:
cellular-D2D underlayjoint resource allocationnon-orthogonal multiple access (NOMA)wireless distributed storage

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Area of Science:

  • Wireless communication systems
  • Data storage technologies
  • Network resource management

Background:

  • Cellular networks face increasing traffic demands, necessitating efficient data storage and offloading solutions.
  • Device-to-device (D2D) communication offers a promising approach for enhancing cellular network capacity and spectral efficiency.
  • Minimum Storage Regenerating (MSR) coding and partial downloading are advanced techniques for reliable distributed storage.

Purpose of the Study:

  • To minimize total transmission power in a D2D underlay wireless distributed storage system.
  • To ensure signal-to-interference-plus-noise ratio (SINR) constraints for cellular users.
  • To leverage Non-Orthogonal Multiple Access (NOMA) for improved spectral efficiency and resource utilization.

Main Methods:

  • Employing MSR coding combined with partial downloading for data storage.
  • Utilizing the NOMA protocol to allow simultaneous subchannel access by multiple storage devices.
  • Decoupling the non-convex optimization problem into two subproblems.
  • Developing low-complexity algorithms and an iterative joint optimization approach for power and subchannel allocation.

Main Results:

  • The proposed algorithms achieve near-exhaustive search performance with reduced computational complexity.
  • The NOMA-enhanced scheme increases transmission opportunities for nearby storage devices.
  • Significant reduction in total power consumption for content reconstruction was demonstrated.

Conclusions:

  • The NOMA-enhanced wireless distributed storage system effectively minimizes transmission power while meeting SINR requirements.
  • The developed low-complexity algorithms provide an efficient solution for joint power and subchannel allocation.
  • This approach offers a viable strategy for managing cellular traffic and enhancing spectral efficiency in dense networks.