Advances in Wireless Network Technologies and Their Impact on Computer Science Applications

EasyChair Preprint 14784

Abstract

Wireless network technologies have seen rapid advancements over the past decade, leading to significant transformations in various computer science applications. The evolution from early 2G and 3G networks to the present 5G and emerging 6G technologies has drastically increased data transmission rates, reduced latency, and expanded connectivity. These innovations are reshaping fields such as the Internet of Things (IoT), cloud computing, edge computing, and artificial intelligence (AI), enabling more efficient, scalable, and responsive systems. This abstract examines the impact of recent advances in wireless networks on key computer science applications, focusing on how they enhance computational efficiency, improve real-time processing, and facilitate new services.

In particular, this research explores the role of 5G networks in enabling ultra-reliable, low-latency communication (URLLC) and massive machine-type communication (mMTC), which are critical for applications such as autonomous vehicles, smart cities, and industrial automation. The paper also discusses the potential of 6G networks, which promise to support even higher data rates, improved energy efficiency, and advanced applications like holographic communication and ubiquitous AI integration. These wireless innovations have prompted a paradigm shift in computer science by driving the development of distributed systems, decentralized computing frameworks, and edge-based machine learning models that leverage the enhanced connectivity.

Keyphrases: 5G, 6G, AI, Cloud Computing, Computer Science, Edge Computing, IoT, Low latency communication, Security Challenges, real-time processing, wireless networks

@booklet{EasyChair:14784,
  author    = {Oluwaseyi Oladele},
  title     = {Advances in Wireless Network Technologies and Their Impact on Computer Science Applications},
  howpublished = {EasyChair Preprint 14784},
  year      = {EasyChair, 2024}}