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A Logistic Regression Approach to Location 
Classi
cation in OFDMA-based FFR Systems 
Ajay Thampi 
University of Bristol 
ajay.thampi@bristol.ac.uk 
June 7, 2013 
Ajay Thamp...
cation in FFR Systems June 7, 2013 1 / 33
Thanks to... 
Co-Authors/Supervisors 
Dr. Simon Armour, University of Bristol 
Dr. Zhong Fan, Toshiba Research Europe Ltd....
cation in FFR Systems June 7, 2013 2 / 33
Overview 
Focus is on the problem of location classi
cation in Fractional Frequency 
Reuse (FFR) systems. Topics covered include: 
Background on Interference 
Overview of FFR ...
cation 
Two Approaches 
1 One-Dimensional Threshold (SINR) 
2 Logistic Regression (Received Power and SINR) 
Ajay Thampi (...
cation in FFR Systems June 7, 2013 3 / 33
Background 
Interference is one of the major performance limiting factors in 
cellular networks 
Intra-Cell Interference 
...
cation in FFR Systems June 7, 2013 4 / 33
Fractional Frequency Reuse (FFR) 
The basic idea is to partition the bandwidth of the cell so that 
cell-edge users have a...
cation in FFR Systems June 7, 2013 5 / 33
FFR Strategies 
There are two broad classes of FFR schemes: 
1 Static: Resource partitioning and sub-carrier allocation is...
cation in FFR Systems June 7, 2013 6 / 33
FFR Schemes 
1 Strict-FFR (FFR-A) 
2 Soft Frequency Reuse (FFR-B) 
Ajay Thampi (University of Bristol) Location Classi
cation in FFR Systems June 7, 2013 7 / 33
Static Resource Partitioning 
Ri is one of the most important design parameters in FFR systems. 
For FFR-A and FFR-B, 
Nc ...
Location Classification in Fractional Frequency Reuse (FFR)-based Systems
Location Classification in Fractional Frequency Reuse (FFR)-based Systems
Location Classification in Fractional Frequency Reuse (FFR)-based Systems
Location Classification in Fractional Frequency Reuse (FFR)-based Systems
Location Classification in Fractional Frequency Reuse (FFR)-based Systems
Location Classification in Fractional Frequency Reuse (FFR)-based Systems
Location Classification in Fractional Frequency Reuse (FFR)-based Systems
Location Classification in Fractional Frequency Reuse (FFR)-based Systems
Location Classification in Fractional Frequency Reuse (FFR)-based Systems
Location Classification in Fractional Frequency Reuse (FFR)-based Systems
Location Classification in Fractional Frequency Reuse (FFR)-based Systems
Location Classification in Fractional Frequency Reuse (FFR)-based Systems
Location Classification in Fractional Frequency Reuse (FFR)-based Systems
Location Classification in Fractional Frequency Reuse (FFR)-based Systems
Location Classification in Fractional Frequency Reuse (FFR)-based Systems
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Location Classification in Fractional Frequency Reuse (FFR)-based Systems

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My presentation at the IEEE WoWMoM conference held in Madrid, Spain on 07-June-2013.

Published in: Engineering
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Location Classification in Fractional Frequency Reuse (FFR)-based Systems

  1. 1. A Logistic Regression Approach to Location Classi
  2. 2. cation in OFDMA-based FFR Systems Ajay Thampi University of Bristol ajay.thampi@bristol.ac.uk June 7, 2013 Ajay Thampi (University of Bristol) Location Classi
  3. 3. cation in FFR Systems June 7, 2013 1 / 33
  4. 4. Thanks to... Co-Authors/Supervisors Dr. Simon Armour, University of Bristol Dr. Zhong Fan, Toshiba Research Europe Ltd. Dr. Dritan Kaleshi, University of Bristol Also, thanks to U.K. Research Council and Toshiba for jointly funding my PhD under the Dorothy Hodgkin Postgraduate Awards. Ajay Thampi (University of Bristol) Location Classi
  5. 5. cation in FFR Systems June 7, 2013 2 / 33
  6. 6. Overview Focus is on the problem of location classi
  7. 7. cation in Fractional Frequency Reuse (FFR) systems. Topics covered include: Background on Interference Overview of FFR Importance of User Location Classi
  8. 8. cation Two Approaches 1 One-Dimensional Threshold (SINR) 2 Logistic Regression (Received Power and SINR) Ajay Thampi (University of Bristol) Location Classi
  9. 9. cation in FFR Systems June 7, 2013 3 / 33
  10. 10. Background Interference is one of the major performance limiting factors in cellular networks Intra-Cell Interference 1 Orthogonal Frequency-Division Multiple Access (OFDMA) Inter-Cell Interference (ICI) 1 Interference Regeneration and Cancellation 2 Interference Coordination (ICIC) Popular ICIC Techniques: 1 Power Control 2 Fractional Frequency Reuse (FFR) 3 Network or Cooperative MIMO 4 Interference Alignment 5 Network Coding 6 ... Ajay Thampi (University of Bristol) Location Classi
  11. 11. cation in FFR Systems June 7, 2013 4 / 33
  12. 12. Fractional Frequency Reuse (FFR) The basic idea is to partition the bandwidth of the cell so that cell-edge users have a higher reuse factor than cell-centre users Usually, cell-centre users enjoy a reuse factor of 1 Optimal reuse factor for cell-edge users is 3 [1] In order to further improve the SINR and throughput for cell-edge users, power control is done on the downlink (DL) Pm = P0 if m is a cell-centre user P1 if m is a cell-edge user ; (1) where P0 P1. Ajay Thampi (University of Bristol) Location Classi
  13. 13. cation in FFR Systems June 7, 2013 5 / 33
  14. 14. FFR Strategies There are two broad classes of FFR schemes: 1 Static: Resource partitioning and sub-carrier allocation is done statically 2 Adaptive: Semi-static Radio Resource Management (RRM) and Dynamic RRM The focus is on FFR schemes with static resource partitioning, where a greater portion of the sub-bands are reserved for cell-centre users. Ajay Thampi (University of Bristol) Location Classi
  15. 15. cation in FFR Systems June 7, 2013 6 / 33
  16. 16. FFR Schemes 1 Strict-FFR (FFR-A) 2 Soft Frequency Reuse (FFR-B) Ajay Thampi (University of Bristol) Location Classi
  17. 17. cation in FFR Systems June 7, 2013 7 / 33
  18. 18. Static Resource Partitioning Ri is one of the most important design parameters in FFR systems. For FFR-A and FFR-B, Nc = Nband Ri R 2 ' (2) For FFR-A, Ne = Nband

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