Virtualized Wireless Networks

User-Association and Resource-Allocation
1. Auflage 2018
ISBN: 978-3-319-57387-8
Verlag: Springer-Verlag GmbH

Buch, Englisch, 103 Seiten, Book, Format (B × H): 156 mm x 236 mm, Gewicht: 1883 g

Reihe: SpringerBriefs in Electrical and Computer Engineering

There have been recent advancements in wireless network technologies such as wireless virtualization to accommodate the exponential growth in demand, as well as to increase energy and infrastructure efficiencies. This SpringerBrief discusses the user-association and resource-allocation aspects in Virtualized Wireless Networks (VWNs) and highlights key technology innovations to meet their requirements. Various issues in practical implementation of VWNs are discussed along with potential techniques such as Massive MIMO, Cloud-Radio Access Network (C-RAN), and non-orthogonal multiple access (NOMA).



This SpringerBrief will target researchers and professionals working on current and next-generation wireless networks. The content is also valuable for advanced-level students interested in wireless communications and signal processing for communications.

Zielgruppe

Research

Autoren/Hrsg.

Le-Ngoc, Tho

Dawadi, Rajesh

Derakhshani, Mahsa

Parsaeefard, Saeedeh

Fachgebiete

• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung Mobilfunk- und Drahtlosnetzwerke & Anwendungen
• Mathematik | Informatik EDV | Informatik Betriebssysteme Virtuelle Maschinen, Virtualisierung
• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Drahtlostechnologie

Inhaltsverzeichnis

1 Introduction.- 2 Bandwidth-Efficient Joint User-Association and Resource-Allocation in Multi-cell VWN.- 3 Power-Efficient Joint User-Association and Resource-Allocation in Multi-cell VWN.- 4 Uplink Resource-Allocation in VWN with Massive-MIMO and Dynamic Pilot-Duration.- 5 User-Association and Resource-Allocation in a C-RAN-based VWN.- 6 Resource Allocation in a NOMA-based VWN.- 7 Conclusion.- A Brief Notes on Geometric Programming and Successive Convex Approximation.