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Proactive Caching in D2D Assisted Multitier Cellular Network.

Fawad Ahmad1, Ayaz Ahmad1, Irshad Hussain2

  • 1Department of Electrical and Computer Engineering, COMSATS University Islamabad, Wah Campus, Wah 47040, Pakistan.

Sensors (Basel, Switzerland)
|July 27, 2022
PubMed
Summary
This summary is machine-generated.

This study introduces a joint content placement and delivery strategy for cache-enabled device-to-device (D2D) networks. The approach enhances cache hit ratio and improves content delivery quality by predicting user preferences and optimizing content placement.

Keywords:
5Gcache-enabled D2D transmittercontent cachingcontent deliverymultitier cellular networks

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Area of Science:

  • Wireless communication networks
  • Network caching strategies
  • Content delivery optimization

Background:

  • Cache-enabled networks face significant challenges in content caching and delivery.
  • Device-to-device (D2D) assisted multitier cellular networks (MCNs) offer a solution to network data pressure and content placement issues.
  • Limited cache memory and uncertain user preferences complicate the design of effective caching policies.

Purpose of the Study:

  • To introduce a joint content placement and content delivery technique for D2D assisted MCNs (D2DMCN).
  • To enhance the overall cache hit ratio (CHR) by predicting content popularity and optimizing cache placement.
  • To improve the quality of satisfaction through optimal content delivery, reducing delay and power consumption.

Main Methods:

  • Utilizing a support vector machine (SVM) to predict content popularity for informed caching decisions.
  • Employing the Hungarian algorithm to optimize content delivery routes and enhance user satisfaction.
  • Simulating the proposed technique within a D2D assisted multitier cellular network environment.

Main Results:

  • The proposed content placement strategy effectively optimizes the system's overall cache hit ratio (CHR).
  • The content delivery approach successfully reduces request content delivery delay.
  • The strategy also leads to a reduction in power consumption for content delivery.

Conclusions:

  • The joint content placement and delivery technique is effective for D2D assisted MCNs.
  • Predictive modeling and optimization algorithms can significantly improve network performance metrics.
  • This approach addresses key challenges in cache-enabled networks, enhancing user experience and network efficiency.