GSOC2014LteFFR: Difference between revisions
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Return to [[GSOC2014AcceptedProjects | GSoC 2014 Accepted Projects]] page. | Return to [[GSOC2014AcceptedProjects | GSoC 2014 Accepted Projects]] page. | ||
= Project overview = | |||
* '''Project name:''' LTE Fractional Frequency Reuse algorithms | * '''Project name:''' LTE Fractional Frequency Reuse algorithms | ||
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= Weekly Reports = |
Revision as of 21:17, 23 May 2014
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Return to GSoC 2014 Accepted Projects page.
Project overview
- Project name: LTE Fractional Frequency Reuse algorithms
- Student: Piotr Gawłowicz
- Mentors: Nicola Baldo, Marco Miozzo
- Abstract: The main goal of the project is to extend LTE module to support Fractional Frequency Reuse. I will develop few FFR algorithms. Since power adjustment is the main part of most of FFR schemes, it will be implemented too.
- Code:
- About me: I am currently a Master's Degree student in Telecommunication at AGH University of Science and Technology in Cracow, Poland. My interests include network simulations. I have been using ns-2, ns-3 in research projects at my university. I did internship in R&D Center, where I was working and developing ns-3 LTE module.
Approach
Project will be developed incrementally. I will start with simple FFR schemes which require less functionalities to be added. For example, Hard FR and Strict FR divide bandwith into sub-bands, so only functionalities to mute some sub-bands in eNBs and to distinguish in which sub-band UE operates is needed. Then I will develop more complicated FFR schemes, like Soft Frequency Reuse and Enhanced Fractional Frequency Reuse, which require also power adjustment in uplink and downlink. Finally, I will create distributed FFR algorithm, which needs communication between eNBs.
Deliverables
- FFR algorithms: Hard FR, Strict FFR, Soft Frequency Reuse, Enhanced Fractional Frequency Reuse, Multi-sector Gradient
- Power adaptation in downlink and power control in uplink
- methods to support X2-C SON messages (required to implement distributed FFR algorithm Multi-sector Gradient)
- updating helpers
- tests and examples
- documentation