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Multi-dimensional quantitative model of communication network value.

Lijuan Wu1, Chaoqin Gan2, Zhongsen Xu1

  • 1Key Laboratory of Specialty Fiber Optics and Optical Access Networks, Joint International Research Laboratory of Specialty Fiber Optics and Advanced Communication, Shanghai University, Shanghai, 200444, China.

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This study introduces a new multi-dimensional quantitative model to evaluate communication network value. The model provides a framework for assessing network worth using the analytic hierarchy process (AHP) method.

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Area of Science:

  • Network Engineering
  • Information Systems
  • Quantitative Analysis

Background:

  • Evaluating communication network value is complex and abstract.
  • Existing methods lack a comprehensive, multi-dimensional approach.
  • Quantifying network value is crucial for strategic decision-making.

Purpose of the Study:

  • To develop a novel multi-dimensional quantitative model for communication network value evaluation.
  • To establish a systematic index system for assessing network value from various perspectives.
  • To demonstrate the model's applicability and rationality using a real-world case study.

Main Methods:

  • Established a multi-dimensional index system by analyzing influencing factors.
  • Employed the analytic hierarchy process (AHP) to determine indicator weights.
  • Constructed a quantitative model integrating dimensions and weights.
  • Validated the model using Ethernet Passive Optical Network (EPON) data.

Main Results:

  • Successfully quantified the abstract concept of communication network value.
  • Developed a robust framework for multi-dimensional network value assessment.
  • Determined the relative importance of different value dimensions and indicators.
  • Demonstrated the model's effectiveness and accuracy through EPON case study.

Conclusions:

  • The proposed multi-dimensional quantitative model effectively evaluates communication network value.
  • The analytic hierarchy process (AHP) is a suitable method for weighting network value indicators.
  • The model provides a valuable tool for network investment and management decisions.