Uplink cellular network models with Ginibre deployed base stations

2014 ◽  
Author(s):  
Takuya Kobayashi ◽  
Naoto Miyoshi
Keyword(s):  
Cellular Network ◽  
Network Models ◽  
Base Stations

scholarly journals Tail asymptotics of signal-to-interference ratio dis­tribution in spatial cellular network models

2018 ◽  
Vol 37 (2) ◽  
pp. 431-453 ◽  
Author(s):  
Naoto Miyoshi ◽  
Tomoyuki Shirai
Keyword(s):  
Point Process ◽  
Upper Bound ◽  
Cellular Network ◽  
Path Loss ◽  
Network Models ◽  
Base Stations ◽  
Sufficient Condition ◽  
Tail Asymptotics ◽  
Tail Distribution ◽  
Stationary Point Process

TAIL ASYMPTOTICS OF SIGNAL-TO-INTERFERENCE RATI ODISTRIBUTION IN SPATIAL CELLULAR NETWORK MODELSWe consider a spatial stochastic model of wireless cellular networks, where the base stations BSs are deployed according to a simple and stationary point process on Rd, d > 2. In this model, we investigate tail asymptotics of the distribution of signal-to-interference ratio SIR, which is a key quantity in wireless communications. In the case where the pathloss function representing signal attenuation is unbounded at the origin, we derive the exact tail asymptotics of the SIR distribution under an appropriate sufficient condition. While we show that widely-used models based on a Poisson point process and on a determinantal point process meet the sufficient condition, we also give a counterexample violating it. In the case of bounded path-loss functions, we derive a logarithmically asymptotic upper bound on the SIR tail distribution for the Poisson-based and -Ginibrebased models. A logarithmically asymptotic lower bound with the same order as the upper bound is also obtained for the Poisson-based model.

DEVELOPMENT OF VALUATION METHOD OF THE STATUS OF BASE STATIONS FOR DETERMINING THE NEED OF THEIR UPGRADING

2017 ◽  
pp. 60-70
Author(s):  
Natalya Ivanovna Shaposhnikova ◽  
Alexander Aleksandrovich Sorokin
Keyword(s):  
Decision Making ◽  
Fuzzy Sets ◽  
Cellular Network ◽  
New Technologies ◽  
Base Station ◽  
Base Stations ◽  
Valuation Method ◽  
The Status ◽  
Telecommunications Services ◽  
Theory Of Fuzzy Sets

The article consideres the problems of determining the need to modernize the base stations of the cellular network based on the mathematical apparatus of the theory of fuzzy sets. To improve the quality of telecommunications services the operators should send significant funding for upgrading the equipment of base stations. Modernization can improve and extend the functions of base stations to provide cellular communication, increase the reliability of the base station in operation and the functionality of its individual elements, and reduce the cost of maintenance and repair when working on a cellular network. The complexity in collecting information about the equipment condition is determined by a large number of factors that affect its operation, as well as the imperfection of obtaining and processing the information received. For a comprehensive assessment of the need for modernization, it is necessary to take into account a number of indicators. In the structure of indicators of the need for modernization, there were introduced the parameters reflecting both the degree of aging and obsolescence(the technical gap and the backlog in connection with the emergence of new technologies and standards). In the process of a problem solving, the basic stages of decision-making on modernization have been allocated. Decision-making on the need for modernization is based not only on measuring information that takes into account the decision-makers, but also on linguistic and verbal information. Therefore, to determine the need for upgrading the base stations, the theory of fuzzy sets is used, with the help of which experts can be attracted to this issue. They will be able to formulate additional fuzzy judgments that help to take into account not only measuring characteristics, but also poorly formalized fuzzy information. To do this, the main indicators of the modernization need have been defined, and fuzzy estimates of the need for modernization for all indicators and a set of indicators reflecting the need for upgrading the base stations have been formulated.

scholarly journals Energy Efficient Operation of Cellular Network Using On/Off Base Stations

2015 ◽  
Vol 11 (8) ◽  
pp. 108210 ◽  
Author(s):  
Yong-Hoon Choi ◽  
Jungerl Lee ◽  
Juhoon Back ◽  
Suwon Park ◽  
Young-uk Chung ◽  
...  
Keyword(s):  
Energy Efficient ◽  
Cellular Network ◽  
Base Stations ◽  
Efficient Operation

scholarly journals Deep Learning-Based Cell-Level and Beam-Level Mobility Management System

Sensors ◽  
2020 ◽  
Vol 20 (24) ◽  
pp. 7124
Author(s):  
Roman Klus ◽  
Lucie Klus ◽  
Dmitrii Solomitckii ◽  
Jukka Talvitie ◽  
Mikko Valkama
Keyword(s):  
Mobility Management ◽  
Management System ◽  
Network Models ◽  
Mobility Model ◽  
Base Stations ◽  
Dense Layer ◽  
Cell Level ◽  
Neural Network Models ◽  
Received Power ◽  
New Radio

The deployment with beamforming-capable base stations in 5G New Radio (NR) requires an efficient mobility management system to reliably operate with minimum effort and interruption. In this work, we propose two artificial neural network models to optimize the cell-level and beam-level mobility management. Both models consist of convolutional, as well as dense, layer blocks. Based on current and past received power measurements, as well as positioning information, they choose the optimum serving cell and serving beam, respectively. The obtained results show that the proposed cell-level mobility model is able to sustain a strong serving cell and reduce the number of handovers by up to 94.4% compared to the benchmark solution when the uncertainty (representing shadowing, interference, etc.) is introduced to the received signal strength measurements. The proposed beam-level mobility management model is able to proactively choose and sustain the strongest serving beam, even when high uncertainty is introduced to the measurements.

scholarly journals Modeling multi-tier heterogeneous small cell networks: rate and coverage performance

2020 ◽  
Vol 75 (4) ◽  
pp. 369-382
Author(s):  
Moubachir Madani Fadoul
Keyword(s):  
Cellular Networks ◽  
Cellular Network ◽  
Factorial Moment ◽  
Base Stations ◽  
Small Cells ◽  
Relay Nodes ◽  
Small Cell Networks ◽  
Grid Model ◽  
Proposed Model ◽  
Cell Networks

Abstract The rapid growth of small cells is driving cellular network toward randomness and heterogeneity. The multi-tier heterogeneous network (HetNet) addresses the massive connectivity demands of the emerging cellular networks. Cellular networks are usually modeled by placing each tier (e.g macro, pico and relay nodes) deterministically on a grid which ignores the spatial randomness of the nodes. Several works were idealized for not capturing the interference which is a major performance bottleneck. Overcoming such limitation by realistic models is much appreciated. Multi-tier relay cellular network is studied in this paper, In particular, we consider $${\mathscr {K}}$$ K -tier transmission modeled by factorial moment and stochastic geometry and compare it with a single-tier, traditional grid model and multi-antenna ultra-dense network (UDN) model to obtain tractable rate coverage and coverage probability. The locations of the relays, base stations, and users nodes are modeled as a Poisson Point Process. The results showed that the proposed model outperforms the traditional multi-antenna UDN model and its accuracy is confirmed to be similar to the traditional grid model. The obtained results from the proposed and comparable models demonstrate the effectiveness and analytical tractability to study the HetNet performance.

A Self-organized MIMO-OFDM-based Cellular Network

Frequenz ◽  
2012 ◽  
Vol 66 (5-6) ◽  
Author(s):  
Rainer Grünheid ◽  
Christian Fellenberg
Keyword(s):  
Cellular Network ◽  
Space Time ◽  
Base Stations ◽  
Single Frequency ◽  
Multicarrier Transmission ◽  
Time Frequency ◽  
Self Organized ◽  
High Bandwidth ◽  
Mimo Ofdm ◽  
Interference Measurements

AbstractThis paper presents a system proposal for a self-organized cellular network, which is based on the MIMO-OFDM transmission technique. Multicarrier transmission, combined with appropriate beamforming concepts, yields high bandwidth-efficiency and shows a robust behavior in multipath radio channels. Moreover, it provides a fine and tuneable granularity of space-time-frequency resources. Using a TDD approach and interference measurements in each cell, the Base Stations (BSs) decide autonomously which of the space-time-frequency resource blocks are allocated to the Mobile Terminals (MTs) in the cell, in order to fulfil certain Quality of Service (QoS) parameters. Since a synchronized Single Frequency Network (SFN), i.e., a re-use factor of one is applied, the resource blocks can be shared adaptively and flexibly among the cells, which is very advantageous in the case of a non-uniform MT distribution.

scholarly journals Energy Competence of Base Station in cellular Network

2019 ◽  
Vol 8 (2) ◽  
pp. 2020-2023
Keyword(s):  
Co2 Emission ◽  
Cellular Network ◽  
Energy Use ◽  
Vital Role ◽  
Base Station ◽  
Base Stations ◽  
System Throughput ◽  
Environment Impact ◽  
Green Networking ◽  
Remote Areas

Energy efficiency is the key concept of wireless communication to achieve green network. Green networking is the process that reduces consumption of energy as well for conserving bandwidth and also for any other process that will ultimately reduce energy use and, indirectly, the expense. With the rapid growth of technologies in wireless network and rapid increase of mobile users the problem of spectrum usage as well as energy consumption plays a vital role. As there is anexponential increase in the deployment of base station every year the power consumed by base station is the significant theme of intrigue. The increase in the number of base stations also leads to environment impact of CO2 emission which is normally due to powering up the base station which is located in remote areas as these off-grid sites are powered by diesel generators. It is been predicted that if this trend continues then the energy consumed by cellular network in future will lead to a serious problem.Thus, there has to be a tradeoff between the quantity of subscribers and the quantity of base station or otherwise it will affect the system throughput. In this paper a brief review of methods that have been used recently to improve the energy consumed by the base station is analyzed.

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