Contributions for 5G Development at Brazil Dr. Henry Douglas Rodrigues May 22 nd 2018
Agenda Motivations for 5G Inatel Contributions for 5G Demos and Performance Future Work Conclusions
Motivations
Motivations 5G Scenarios massive Machine Type Communication (mmtc) Ultra Reliable Low Latency (URLL)
Motivations 5G Scenarios Peak Rate > 20 Gbps URLL Coverage radius >= 50 km Internet Access for Remote Areas (IARA) Latency < 1ms mmtc Connections per cell > 100k
Motivations Remote Areas Applications Huge social impacts: 3.9 billion people are unconnected Smart farms: Farms automation Machinery control Environment and cattle monitoring Road coverage: Entertainment Vehicle to infrastructure (V2I)
Inatel Contributions for 5G
Inatel Contributions for 5G Centro de Referência em Radiocomunicações ( ) Flexible reference model: 5G transceiver Comply with specific requirements for Remote Area scenario Produce knowledge Training for professionals
5G Flexible Transceiver New Waveform: Low out of band emissions Flexible to cover different scenarios Main Technologies: Polar coding 2x2 MIMO for diversity Hardware: 100% real time operation FDD (Frequency Division Duplexing) Scalable bandwidth Software Defined Radio
Motivations for new waveforms Problem: Energy and Spectral Efficiency CP wastes energy and throughput! OFDM CP CP OFDM CP OFDM CP protects the data from the channel What if we can have a modulation scheme that needs only one CP for several subsymbols? Subsymbol Subsymbol CPSubsymbol Resource saved by efficient use of the CP CP waste of energy and bandwidth can be significantly reduced.
Motivations for new waveforms Proble: High energy leakage (Cognitive Radio) Primary User No interference Very strong interference Huge Zero energy Leakage leakage What if we can have a modulation scheme that has a smooth pulse shape with virtually zero energy leakage? because caused by of bad the smooth filter shape. pulses. frequency time The ability to control the pulse shape allows the co existence with other technologies.
5G GFDM Transceiver Block Diagram Rate Adaption Channel encoder GFDM Modulador TR STC Encoder Transmitter CP/CS windowing Frame Structure Digital Pre Distortion TX Front end PA PA PRBS data Ethernet Interface Packet Tunneling Synchronization Signal Channel Estimation Signal RX Front end Receiver RX Front end Impairments Auto correction Automatic Gain Control Time & Carrier Offset Synch. Channel Estimation ST Decoder Equalization GFDM Demodulator Channel Decoder FPGA (USRP Rio) Host (Windows PC) Software Defined Radio External Hardware Synchronization Signal Channel Estimation Signal Packet Detunneling Ethernet Interface BER Meas. Stuffing Removal
5G Transceiver System Base Station
Coexistence with Digital TV in UHF band ISDB T OFDM GFDM frequency
Coexistence with Digital TV in UHF band
Demos and Performance
Inatel Campus March 2017 Inatel Campus @ Santa Rita do Sapucaí, Minas Gerais, Brazil
International Award June 2017 Grand Challenge @ Oulu, Finland
Brasília August 2017 5G Base Station 5G Mobile Station
Demo @ Brasília August 2017
Preliminary Field Tests June 2018 Under evaluation: Coverage Throughput Robustness (MIMO and Polar Coding) Channel model Legacy compatibility (interference)
Performance Analysis @ Lab Goal: how much do we lose, due to implementation? Noisy channel estimation AWGN Channel 64QAM, Polar 3/4 Implementation loss
Future Work
Evolution Roadmap Definition of 5G Network Architecture Control and Resource Allocation Prototypes for each scenario Today Future 5G Transceiver Solutions for Irradiating Systems Massive MIMO 5G Network Definition of PHY and MAC technologies Coordinated Multipoint Definition of PHY and MAC technologies
Conclusions
Conclusions Huge demand for providing connectivity for rural areas 5G Networks can be the final solution for delivering Internet access everywhere Current technology can create new business model and economic feasible solutions for remote are coverage