Radio Resource Management Using Geometric Water-Filling
Nonfiction, Computers, Networking & Communications, Hardware, Science & Nature, Technology, Telecommunications, General Computing
| Author: | Peter He, Lian Zhao, Sheng Zhou, Zhisheng Niu | ISBN: | 9783319046365 |
| Publisher: | Springer International Publishing | Publication: | February 14, 2014 |
| Imprint: | Springer | Language: | English |
| Author: | Peter He, Lian Zhao, Sheng Zhou, Zhisheng Niu |
| ISBN: | 9783319046365 |
| Publisher: | Springer International Publishing |
| Publication: | February 14, 2014 |
| Imprint: | Springer |
| Language: | English |
This brief introduces the fundamental theory and development of managing radio resources using a water-filling algorithm that can optimize system performance in wireless communication. Geometric Water-Filling (GWF) is a crucial underlying tool in emerging communication systems such as multiple input multiple output systems, cognitive radio systems, and green communication systems. Early chapters introduce emerging wireless technologies and provide a detailed analysis of water-filling. The brief investigates single user and multi-user issues of radio resource management, allocation of resources, and energy harvesting. Effective algorithms demonstrate the incredible potential capabilities of water-filling mechanisms. This brief is designed for researchers and professionals working with resource management and wireless communications. Advanced-level students in computer science and engineering will also find the information valuable.
This brief introduces the fundamental theory and development of managing radio resources using a water-filling algorithm that can optimize system performance in wireless communication. Geometric Water-Filling (GWF) is a crucial underlying tool in emerging communication systems such as multiple input multiple output systems, cognitive radio systems, and green communication systems. Early chapters introduce emerging wireless technologies and provide a detailed analysis of water-filling. The brief investigates single user and multi-user issues of radio resource management, allocation of resources, and energy harvesting. Effective algorithms demonstrate the incredible potential capabilities of water-filling mechanisms. This brief is designed for researchers and professionals working with resource management and wireless communications. Advanced-level students in computer science and engineering will also find the information valuable.
