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Femtocells in centralized systems: green operation and radio resource management techniques
- Source :
- Annals of Telecommunications. 72:679-691
- Publication Year :
- 2017
- Publisher :
- Springer Science and Business Media LLC, 2017.
-
Abstract
- In this paper, a system of femtocells controlled by a single controller is investigated. In such a scenario, femtocell access points (FAPs) are assumed connected via wired links to a central controller within a certain vicinity (e.g., building, compound, hotel, and campus.). Thus, radio resource management (RRM) and green network operation of LTE femtocell networks are investigated in an integrated wired/wireless system. Consequently, it becomes possible to perform RRM in a centralized and controlled way in order to enhance the quality of service (QoS) performance for the users in the network. Furthermore, energy-efficient operation consisting of switching off redundant FAPs can be implemented. A utility maximization framework is presented, and an RRM algorithm that can be used to maximize various utility functions is proposed. Another algorithm is presented for the scenario of FAP on/off switching to achieve green operation. It consists of selecting the best FAP to switch off, then moving the femto user equipments (FUEs) to other active FAPs without compromising their quality of service (QoS). Simulation results show that the proposed algorithms lead to significant performance gains.
- Subjects :
- Engineering
business.industry
Quality of service
Femto
020206 networking & telecommunications
02 engineering and technology
021001 nanoscience & nanotechnology
Control theory
0202 electrical engineering, electronic engineering, information engineering
Femtocell
Resource allocation
Wireless
Electrical and Electronic Engineering
Radio resource management
0210 nano-technology
business
Efficient energy use
Computer network
Subjects
Details
- ISSN :
- 19589395 and 00034347
- Volume :
- 72
- Database :
- OpenAIRE
- Journal :
- Annals of Telecommunications
- Accession number :
- edsair.doi...........955f3a4e4ca4e0548d6a1e572b3ee789