scholarly journals Interference cancelation for high-density fifth-generation relaying network using stochastic geometrical approach

2019 ◽  
Vol 15 (7) ◽  
pp. 155014771985587 ◽  
Author(s):  
MHD Nour Hindia ◽  
Faizan Qamar ◽  
Talib Abbas ◽  
Kaharudin Dimyati ◽  
Mohamad Sofian Abu Talip ◽  
...  
Keyword(s):  
Point Process ◽  
Poisson Point Process ◽  
Process Model ◽  
Success Probability ◽  
Relay Node ◽  
Ergodic Capacity ◽  
Base Station ◽  
High Density ◽  
Geometrical Approach ◽  
Fifth Generation

In order to resolve the issue of coverage limitation for the future fifth-generation network, deploying a relay node within a cell is one of the most capable and cost-effective solution, which not only enhances the coverage but also improves the spectral efficiency. However, this solution leads to the undesired interferences from nearby base station and relay nodes that affects user’s signal-to-interference-plus-noise ratio and can cause the ambiguous received signal at the user end. In this article, we have analyzed a relay-based interference-limited network at millimeter wave frequency and proposed a Poisson point process–based model using a stochastic geometrical approach. The results for the proposed Poisson point process model have been evaluated in terms of success probability, network ergodic capacity, and outage probability, compared with the ideal grid model and conventional multiple-antenna ultra-dense network model. The results proved that the success probability and ergodic capacity for the proposed model are 3.5% and 2.3% higher as compared to the most commonly used model for the high-density network, respectively. Furthermore, the results have been analyzed at different multiple-input-multiple-output antenna configuration, which validates the model in the improvement of overall network performance even for higher number of antennas.

Bounded-hop percolation and wireless communication

2016 ◽  
Vol 53 (3) ◽  
pp. 833-845 ◽  
Author(s):  
Christian Hirsch
Keyword(s):  
Point Process ◽  
Poisson Point Process ◽  
Base Station ◽  
Telecommunication Networks ◽  
Base Stations ◽  
Continuum Percolation ◽  
Supercritical Regime ◽  
Close Relationship ◽  
Wireless Telecommunication ◽  
Minimum Number

AbstractMotivated by an application in wireless telecommunication networks, we consider a two-type continuum-percolation problem involving a homogeneous Poisson point process of users and a stationary and ergodic point process of base stations. Starting from a randomly chosen point of the Poisson point process, we investigate the distribution of the minimum number of hops that are needed to reach some point of the base station process. In the supercritical regime of continuum percolation, we use the close relationship between Euclidean and chemical distance to identify the distributional limit of the rescaled minimum number of hops that are needed to connect a typical Poisson point to a point of the base station process as its intensity tends to 0. In particular, we obtain an explicit expression for the asymptotic probability that a typical Poisson point connects to a point of the base station process in a given number of hops.

scholarly journals Data Traffic Based on Slicing in a 5G Smart Uplink System

Telecom IT ◽  
2020 ◽  
Vol 8 (2) ◽  
pp. 44-54
Author(s):  
A. Grebenshchikova ◽  
Elagin V.
Keyword(s):  
Mobile Networks ◽  
Data Transfer ◽  
Relay Node ◽  
Mobile Network ◽  
Video Stream ◽  
Base Station ◽  
Smart Devices ◽  
Future Research ◽  
Data Traffic ◽  
Fifth Generation

The paper considers the data traffic based on slicing in a 5g mobile network uplink system. Slicing is a promising technology for the fifth generation of networks that provides optimal quality of QOS services for each specific user or group of users. Data traffic that is processed by cellular networks increases every year. Therefore, we should consider all set of traffic from VoIP to M2M devices. For example, smart devices in the healthcare system transmit big data that is sensitive to latency, but also a video stream that requires minimal latency in certain cases. The paper focuses on the successful processing of traffic through a relay node, donor microstates, and a base station. All traffic is divided into three levels of QoS segmentation: sensitive, less sensitive, and low-sensitivity, using the AnyLogic simulation program. For fifth-generation 5G networks, achieving minimum latency and maximum data transfer speed within QoS is an important implementation condition. Therefore, in this paper, using simulation modeling, the main and possible results of each segment in the new generation of mobile networks are obtained. The use of a relay node in conjunction with micro-stations can ensure optimal station load and successful data processing. Also, the solutions outlined in this paper will allow you to identify a number of areas for future research to assess possible ways to design new mobile networks, or improve existing ones.

scholarly journals Testing hypotheses on population dynamics: A test for the inhomogeneous Poisson point process model

2017 ◽  
Author(s):  
Niklas Hohmann
Keyword(s):  
Population Dynamics ◽  
Point Process ◽  
Poisson Point Process ◽  
Process Model ◽  
Confidence Regions ◽  
Significance Level ◽  
Spatial Dimensions ◽  
Rate Functions ◽  
Inhomogeneous Poisson Point Process

AbstractIn this paper, a test for hypotheses on population dynamics is presented alongside an implementation of said test for R. The test is based on the assumption that the sample, consisting of points on a time axis, is a realization of a Poisson point process (PPP). There are no restrictions on the shapes of the rate functions that are regulating the PPP, type 2 errors can be calculated and the test is optimal in the sense that it is a uniform most powerful (UMP) test. So for every significance level a, the presented test has a lower type 2 error than every other test having the same significance level a. The test is applicable to all models based on PPPs, including models in spatial dimensions. It can be generalized and expanded in different ways, such as testing larger hypotheses, incorporating prior knowledge, and constructing confidence regions that can be used to obtain upper or lower bounds on rate functions.

scholarly journals Transmit Antenna Selection Schemes for NOMA with Randomly Moving Interferers in Interference-Limited Environment

Electronics ◽  
2019 ◽  
Vol 9 (1) ◽  
pp. 36
Author(s):  
Dinh-Thuan Do ◽  
Thanh-Luan Nguyen ◽  
Byung Moo Lee
Keyword(s):  
Stochastic Geometry ◽  
Multiple Access ◽  
Poisson Point Process ◽  
Antenna Selection ◽  
Ergodic Capacity ◽  
Base Station ◽  
Selection Strategy ◽  
Practical Consideration ◽  
Transmit Antenna Selection ◽  
Spatial Topology

In this paper, non-orthogonal multiple access (NOMA) is studied at downlink under impact of surrounding interference. This study benefits the practical NOMA system since spatially random interference is adopted. More specifically, we consider the antenna selection strategy applied at the base station and compare the performance of two users. By applying a stochastic geometry-based model, homogeneous Poisson point process (PPP) is employed to consider the spatial topology of interference which is located near to users, and such a model is extremely suitable for practical consideration. We first consider outage probability and then ergodic capacity is examined as main metrics to recommend such model in practice. According to the considered antenna section scheme of the base station, we compare these schemes related to selected antenna serving each user. To confirm exactness of derived expressions, we perform Monte Carlo simulations to verify the analytical results.

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