System-Level simulation Inter-cell RRM Multi-cell RRM

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Presentation transcript:

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

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

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

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’

The concept of Inter-cell RRM BS Coordination Delay Static Adaptive Real - time ICIC User Scheduling UE Reports Delay CQIs 1 2 3 4 5 6 7 … 15

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

LTE_load_params (settings) 7

LTE_load_params (settings)

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

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

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

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.

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.

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

LTE launcher

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

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

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

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

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

Results of FR1 21

Results of Dynamic EE

SOTA Comparison Cell T-Put 5th CDF T-Put EE 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.

Q & A