Share
Spectrum Trading in Multi-Hop Cognitive Radio Networks (Springerbriefs in Electrical and Computer Engineering)
Miao Pan; Ming Li; Pan Li (Author)
·
Springer
· Paperback
Spectrum Trading in Multi-Hop Cognitive Radio Networks (Springerbriefs in Electrical and Computer Engineering) - Miao Pan; Ming Li; Pan Li
Choose the list to add your product or create one New List
✓ Product added successfully to the Wishlist.
Go to My Wishlists
Origin: U.S.A.
(Import costs included in the price)
It will be shipped from our warehouse between
Monday, July 01 and
Thursday, July 11.
You will receive it anywhere in United Kingdom between 1 and 3 business days after shipment.
Synopsis "Spectrum Trading in Multi-Hop Cognitive Radio Networks (Springerbriefs in Electrical and Computer Engineering)"
This SpringerBrief focuses on spectrum trading designs in multi-hop cognitive radio networks. It starts with the motivation for spectrum trading and the review of existing spectrum trading designs. Then, it presents a novel CRN architecture for spectrum trading considering spectrum trading's economic features and wireless nature. Under this network architecture, it extends current single-hop per-user based spectrum trading design into a multi-hop transmission opportunity based one, and further into a session based one, while having economic properties guaranteed. This SpringerBrief not only provides a good review of current spectrum trading designs, it also touches on the cutting-edge interdisciplinary spectrum trading research on disparate fields of modeling, network architecture design, optimization theories, statistics, and economic theories. Advanced-level students studying computer science, electrical and computer engineering and economics, wireless network planners, and wireless spectrum engineers will find this book a useful tool.
- 0% (0)
- 0% (0)
- 0% (0)
- 0% (0)
- 0% (0)
All books in our catalog are Original.
The book is written in English.
The binding of this edition is Paperback.
✓ Producto agregado correctamente al carro, Ir a Pagar.