1. System-Level simulation Inter-cell RRM Multi-cell RRM
LTE Vienna Simulator
System-Level simulation
Inter-cell RRM
Multi-cell RRM
What I’d like to present to you today is
The simulator is offered for free under an academic,non-commercial use license
The simulator is capable of evaluating the performance of the Down-link Shared Channel of LTE SISO and MIMO networks using:
Open Loop Spatial Multiplexing
Transmission Diversity transmit modes
The physical layer model is based on the post-equalization SINR and provides the simulation pre-calculated ”fading parameters” representing each of the individual interference terms

2. Macrocell as a Primary Network Femtocell as a Secondary Network
Deployments
Macrocell as a Primary Network
Femtocell as a Secondary Network
Block type: 5x5 grid, House dimensions: 10x10 F1 F2 F4 F5 F9 F3 F6
F10

3. What system-level sim. can simulate
Inter-cell/multi-cell Interference
Energy efficiency and Power control
Mobility & Handovers issues
Multi-User Scheduling
BLER & HARQ techniques
SINR-to-Date Rate mapping techniques
Network related issues

4. What system-level sim. can simulate
Closed-access femtocell network.
Capability to customize, location, power, antenna pattern, path loss, etc.
Matrix form optimization in order to exploit matlab’s core engine.
Support static schemes: FR1,FR3, SFR, FFR
Support dynamic schemes
centralized/distributed/decentralized
Support of linear programming solver: ‘CPLEX’

5. The concept of Inter-cell RRM
BS Coordination
Delay
Static
Adaptive
Real - time
ICIC
User Scheduling
UE Reports
Delay
CQIs … 15

6. Common Question & Answers
Can be used for COGNITIVE Radio Network
By assuming macrocell as a primary network and femtocell as a secondary network
Can be used for Ad hoc networks
By assuming a non-fixed deployment and decentralized controller.
Can be used for satellites No

7. LTE_load_params (settings)7

8. LTE_load_params (settings)

9. LTE BLER curves for CQI 1 to 15
BLER curves from link level simulator

10. SINR to DATA linear model
SNR_CQI measure for 10% BLER and the mapping model

11. Statistic of LTE deployment - Path loss
To whom it might concern these are macroscopic fading graphs which can be analysed in more graphs like as Maximum SINR, SINR difference target CQI and cell & sector assignment

12. Statistic of LTE deployment - Shadowing
The same analitical graph with shadowing fading as well
The other transmitters radiate at maximum power,just acting as interferers.

13. Analytical Results of each UE
- Throughput and BLER over time.
The blue line depicts the UE throughput in Mb/s for the selected stream and UE, as well as the BLER as measured by the ACK/NACK ratio (green line) and the BLER value applied by the link quality model.
Although the system is calibrated to deliver BLERs 0.1, the actual results are influenced by the uplink delay and time variability of the channel.
– UE position in the ROI.
– sent CQI report for the selected RB and stream (blue), mean CQI for the whole frequency band (red) and CQI of to
the Transport Block (TB) sent to the UE, if scheduled.
– distribution of the CQIs for the selected UE and RB during the simulation time (blue), and of the TB CQIs (red).
Note that all time-dependant data is averanged by using a rectangular window of configurable length.

14. Analytical Results of each eNB
– graphical depiction of the RB allocation for the selected TTI.
– evolution of the number of assigned RBs to each UE during the selected TTI range.
– throughput and BLER for the selected stream number. Throughput and BLER are averaged using a rectangular window
of configurable length

15. LTE launcher

16. LTE_sim_main file for each TTI End Get CQIs Dynamic scheme
General template
EE Dynamic
Example
Schedule UEs
End

17. Dynamic Scheme Part 1 (Template)
Collected all CQIs
reports from eNBs
Calculate the SE
(spectral efficiency)
Calculate
user fairness

18. Dynamic Scheme Part 2 (Template)
Collected Utility
Find the best user
Initialized
User Scheduling
Power Scheduling

19. Results Avg Cell throughput in Mps Avg Transmit Power in W
Avg Cell-edge throughput in KBs
5% of CDF of user average T-put

20. Results of each eNB Avg Cell throughput in Mps Avg Transmit Power in W
Avg Cell-edge throughput in KBs
5% of CDF of user average T-put

21. Results of FR1 21

22. Results of Dynamic EE

23. SOTA Comparison Cell T-Put 5th CDF T-PutEE
Cell
T-Put
5th CDF T-Put
The system throughput is depicted against the critical throughput of deprived UEs for all the some baseline reuse techniques using a varying choice of effective reuse measure.

24. Q & A