<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:slash="http://purl.org/rss/1.0/modules/slash/">
  <channel>
    <title>Network and Communication Technologies, Issue: Vol.9, No.1</title>
    <description>NCT</description>
    <pubDate>Fri, 03 Apr 2026 20:07:18 +0000</pubDate>
    <generator>Zend_Feed_Writer 2 (http://framework.zend.com)</generator>
    <link>https://ccsenet.org/journal/index.php/nct</link>
    <author>nct@ccsenet.org (Network and Communication Technologies)</author>
    <dc:creator>Network and Communication Technologies</dc:creator>
    <atom:link rel="self" type="application/rss+xml" href="https://ccsenet.org/journal/index.php/nct/issue/feed/rss"/>
    <item>
      <title>Simulation of Rainfall Attenuation Prediction Models for the Optimization of High-Speed Links in Millimeter Bands (80GHz): Tropical Regions’ Case</title>
      <description><![CDATA[<p>We deal with the problem of attenuation of electromagnetic waves due to precipitation. Indeed, the millimeter wave frequency (30&ndash;300 GHz) is a promising candidate for broadband wireless networks (4G and beyond), but atmospheric elements limit radio links to this frequency band. Precipitation is the important atmospheric element that causes the attenuation of a wave during its propagation and should therefore be estimated for the proper functioning of a link. It is with this in mind that our study focuses on the choice of an appropriate model for predicting the attenuation of a radio link after simulation of several models proposed in the literature in order to assess the impact of precipitation in the tropical region. The method used to achieve this objective consists firstly of analysing existing models and determining theoretical and actual unavailability using ITU-R methods and the Nomad monitoring tool; then secondly, we develop an application to evaluate the attenuation due to rain using the Da Silva, Mello and ITU-R models. The calculated attenuations were compared to experimental measurements, and Da Silva&#39;s model was found to be the best fit. On a local level, these results have a significant impact on the planning and optimization of communications infrastructures, enabling better performance of networks using millimeter waves. At the national level, this contributes to improved telecommunications networks and more reliable connectivity. Globally, this research can aid the development of high-frequency wireless communications in tropical regions, thereby promoting large-scale technological and economic advancement.</p>]]></description>
      <pubDate>Sun, 05 May 2024 11:22:57 +0000</pubDate>
      <link>https://ccsenet.org/journal/index.php/nct/article/view/0/50163</link>
      <guid>https://ccsenet.org/journal/index.php/nct/article/view/0/50163</guid>
      <slash:comments>0</slash:comments>
    </item>
    <item>
      <title>External Interferences Detection by Examples in LTE Networks for 4G and 5G Networks Efficient Deployments</title>
      <description><![CDATA[<p>The relentless growth in wireless traffic forces mobile operators to aggressively increase network capacity to meet subscriber demand. However, spectrum availability is not growing at the same rate as traffic; in fact spectrum resources are in markedly short supply, and, as a result, their cost remain high. The reuse of existing spectrum is a key point for network expansion through capacity densification. But this spectrum reused for network capacity expansion faces the problem of interference in general and external interference in particular which are most often very difficult to detect, identify and eliminate. In this article, we focus on the case of external interferences and on the basis of measurements and experiences obtained in the field, we propose methods and procedures to help identify external interferences and remove them. At the end of the paper a set of recommendations are proposed in other to reduce and cancel external interferences.</p>]]></description>
      <pubDate>Mon, 17 Jun 2024 01:31:41 +0000</pubDate>
      <link>https://ccsenet.org/journal/index.php/nct/article/view/0/50325</link>
      <guid>https://ccsenet.org/journal/index.php/nct/article/view/0/50325</guid>
      <author>eric.deussom@gmail.com (Eric Michel Deussom Djomadji)</author>
      <dc:creator>Eric Michel Deussom Djomadji</dc:creator>
      <slash:comments>0</slash:comments>
    </item>
  </channel>
</rss>
