Buch, Englisch, 103 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 1883 g
Reihe: SpringerBriefs in Electrical and Computer Engineering
User Association and Resource Allocation
Buch, Englisch, 103 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 1883 g
Reihe: SpringerBriefs in Electrical and Computer Engineering
ISBN: 978-3-319-57387-8
Verlag: Springer
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.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung Mobilfunk- und Drahtlosnetzwerke & Anwendungen
- Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Drahtlostechnologie
- Mathematik | Informatik EDV | Informatik Betriebssysteme Virtuelle Maschinen, Virtualisierung
Weitere Infos & Material
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.