5G Ultra-dense networks with non-uniform Distributed Users

10/31/2017
by   Junliang Ye, et al.
0

User distribution in ultra-dense networks (UDNs) plays a crucial role in affecting the performance of UDNs due to the essential coupling between the traffic and the service provided by the networks. Existing studies are mostly based on the assumption that users are uniformly distributed in space. The non-uniform user distribution has not been widely considered despite that it is much closer to the real scenario. In this paper, Radiation and Absorbing model (R&A model) is first adopted to analyze the impact of the non-uniformly distributed users on the performance of 5G UDNs. Based on the R&A model and queueing network theory, the stationary user density in each hot area is investigated. Furthermore, the coverage probability, network throughput and energy efficiency are derived based on the proposed theoretical model. Compared with the uniformly distributed assumption, it is shown that non-uniform user distribution has a significant impact on the performance of UDNs.

READ FULL TEXT
research
03/15/2019

On Certifying Non-uniform Bound against Adversarial Attacks

This work studies the robustness certification problem of neural network...
research
01/21/2021

User-Level Memory Scheduler for Optimizing Application Performance in NUMA-Based Multicore Systems

Multicore CPU architectures have been established as a structure for gen...
research
12/19/2020

yNet: a multi-input convolutional network for ultra-fast simulation of field evolvement

The capability of multi-input field-to-field regression, i.e. mapping th...
research
04/01/2021

Replicate or Relocate? Non-Uniform Access in Parameter Servers

Parameter servers (PSs) facilitate the implementation of distributed tra...
research
06/27/2023

Uniform density in matroids, matrices and graphs

We give new characterizations for the class of uniformly dense matroids,...
research
11/14/2017

Achieve Sustainable Ultra-Dense Heterogeneous Networks for 5G

Due to the exponentially increased demands of mobile data traffic, e.g.,...
research
10/21/2021

Learning to Recommend Using Non-Uniform Data

Learning user preferences for products based on their past purchases or ...

Please sign up or login with your details

Forgot password? Click here to reset