activity
20152023
most citedTime-based Handover Skipping in Cellular Networks: Spatially Stochastic Modeling and Analysis

3 citations · 8 across the 12 of their papers we have counts for

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Showing cs.ITShow all

6 papers · 1 filter

cs.IT2023

Periodic handover skipping in cellular networks: Spatially stochastic modeling and analysis

Kiichi Tokuyama, Tatsuaki Kimura, Naoto Miyoshi

Handover (HO) management is one of the most crucial tasks in dense cellular networks with mobile users. A problem in the HO management is to deal with increasing HOs due to network…

cs.IT2018

Unified Analysis of HetNets using Poisson Cluster Process under Max-Power Association

Chiranjib Saha, Harpreet S. Dhillon, Naoto Miyoshi +1

Owing to its flexibility in modeling real-world spatial configurations of users and base stations (BSs), the Poisson cluster process (PCP) has recently emerged as an appealing way…

cs.IT2018★ 1 cited

Downlink coverage probability in cellular networks with Poisson-Poisson cluster deployed base stations

Naoto Miyoshi

Poisson-Poisson cluster processes (PPCPs) are a class of point processes exhibiting attractive point patterns. Recently, PPCPs are actively studied for modeling and analysis of het…

cs.IT2016★ 1 cited

Spatial modeling and analysis of cellular networks using the Ginibre point process: A tutorial

Naoto Miyoshi, Tomoyuki Shirai

Spatial stochastic models have been much used for performance analysis of wireless communication networks. This is due to the fact that the performance of wireless networks depends…

cs.IT2016★ 2 cited

A sufficient condition for tail asymptotics of SIR distribution in downlink cellular networks

Naoto Miyoshi, Tomoyuki Shirai

We consider the spatial stochastic model of single-tier downlink cellular networks, where the wireless base stations are deployed according to a general stationary point process on…

cs.IT2015

Downlink Coverage Probability in a Cellular Network with Ginibre Deployed Base Stations and Nakagami-m Fading Channels

Naoto Miyoshi, Tomoyuki Shirai

Recently, spatial stochastic models based on determinantal point processes (DPP) are studied as promising models for analysis of cellular wireless networks. Indeed, the DPPs can ex…