4.7 Article

A Novel ASAPPP Approach to Characterize the SIR Distribution in General Cellular Networks

Journal

IEEE WIRELESS COMMUNICATIONS LETTERS
Volume 11, Issue 7, Pages 1443-1447

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/LWC.2022.3173307

Keywords

Cellular networks; Load modeling; Probability density function; Analytical models; Signal to noise ratio; Probability; Mathematical models; Non-Poisson point process; association probability; coverage probability; stochastic geometry

Funding

  1. National Key Research and Development Program of China [2019YFE0111600]
  2. National Natural Science Foundation of China [61971083, 51939001]
  3. LiaoNing Revitalization Talents Program [XLYC2002078]
  4. Dalian Science and Technology Innovation Fund [2019J11CY015]
  5. Fundamental Research Funds for the Central Universities [3132022236]

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The study proposed a novel approximation method by decomposing the ASAPPP method to obtain key results, thereby achieving simple yet effective approximations in multi-tier networks.
The non-Poisson point processes have the characteristics of spatial repulsion or aggregation, which well matches the realistic cellular network deployment, but challenges the fundamental analysis of the signal-to-interference ratio (SIR) distribution. In this letter, we propose a novel approximation method via decomposing the ASAPPP method (approximate SIR analysis based on the Poisson point process) to formulate two key intermediate approximate results, namely, the contact distance distribution and the spatial distribution of the interfering nodes. With the aid of these results, the novel ASAPPP is proved to be equivalent with the original one in a single-tier network and obtains the simple yet effective approximate results of association probability and coverage probability in a multi-tier network. Simulation results demonstrate that the proposed method provides a better approximation compared with the original ASAPPP, especially in multi-tier network scenarios.

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