5g waveform approaches in highly asynchronous...
TRANSCRIPT
Presenter: Gerhard Wunder, [email protected] EuCNC Workshop “Enablers on the road to 5G” June 23rd, 2014
5G Waveform Approaches In Highly Asynchronous Settings
What is 5GNOW? 5GNOW (5th Generation Non-Orthogonal Waveforms for Asynchronous Signalling) is an European collaborative research project supported by the European Commission within FP7 ICT Call 8.
Who is in the consortium? Fraunhofer HHI (coordinator), Germany, Dr. Gerhard Wunder Alcatel Lucent (technical coord.), Germany, Thorsten Wild Technische Universität Dresden, Germany, Prof. Gerhard Fettweis CEA-LETI, France, Dr. Dimitri Ktenas IS-Wireless, Poland, Dr. Slawomir Pietrzyk National Instruments, Hungary, Dr. Bertalan Eged
www.5gnow.eu, LinkedIn group
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Vision:
• 5GNOW is the physical layer evolution of mobile communication network technology such as LTE-Advanced towards emerging application challenges.
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Outline
(1) 5GNOW Application Challenges
(2) 5GNOW Frame Structure
(3) 5GNOW Waveform Approaches
(4) Conclusions
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Gigabit Wireless Connectivity
2013
2005
Examples: 3D video streaming, large crowd gatherings
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Internet of Things (IoT)
Battery (10 years)
Cost below 10$ Coverage (deep indoor)
„Plug&secure“, human in the loop
■ Connecting the things of every day life, scalable connectivity for billions of devices
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Tactile Internet (TI)
Real-time cyber-physical control applications
100ms
10ms
1ms 100 µs latency on physical layer!
Spectrum paradox: spectrum scarce and expensive but underutilized!
EC Digital Agenda forces the systems to deal with fragmented spectrum and white spaces communication (PAPR, 100x better localization)
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Fragmented Spectrum
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Application Challenges
Wireless Access: • flexible • scalable • fast • robust
• efficient (energy, spectrum)
• reliable
Target for 5G integrated air interface: Efficiently combine various types of service and performance classes within a radio frame (from small packet service to high rate ‘bit-pipe’)
Unified Frame Structure
Traffic Type Synch? Access Type Properties
I closed-loop scheduled classical high volume data services
II open-loop
scheduled HetNet and/or cell edge multi-layered high data traffic
III
open-loop sporadic, contention-based few bits, supporting low latency, e.g. smartphone apps
IV open-loop/none* contention-based energy-efficient, high latency, few bits
Type I Type II
Layer
Time
Type III and Type IV
Frequency
*: none for maximal energy savings at Tx, open-loop for reduced complexity at Rx
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Requirements
Some arguments against OFDM: • Flexibility: Cyclic prefixes reduce spectral efficiency
and prohibit flexible handling of frame formats
• Scalable: Spectral localization is too bad, e.g. in narrowband setting up to 4-6 subcarrier gain by different waveforms
• Robust and Reliable: OFDM is very sensitive both in time and frequency domain due to FFT
• Fast: Very difficult to support short symbols with given channel delay spread
• Efficient (energy, spectrum): OFDM is not robust under incomplete channel state information
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-0.5 -0.4 -0.3 -0.2 -0.1 0 0.1 0.2 0.3 0.4 0.5-30
-28
-26
-24
-22
-20
-18
relative delay
MSE
[dB
]
UFMC, no CFOUFMC, 5% CFOUFMC, 10% CFOCPOFDM, no CFOCPOFDM, 5% CFOCPOFDM, 10% CFO
Main observation: OFDM fails in highly asynchronous access scenarios, e.g. for massive MTC communication.
Outside CP: New waveforms really make a difference!
G. Wunder, P. Jung, M. Kasparick, T. Wild, F. Schaich, S. ten Brink, Y. Chen, I. Gaspar, N. Michailow, A. Festtag, G. Fettweis, N. Cassiau, D. Ktenas, M. Dryjanski, S. Pietrzyk, B. Eged, P. Vago, and F. Wiedmann, “5GNOW: Non-Orthogonal, Asynchronous Waveforms for Future Mobile Applications“, IEEE Communications Magazine, 5G Special Issue, Feb. 2014
Asynchronous Reference Scenario
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Filter Bank Multicarrier (FBMC) Features: Non-orthogonal multicarrier modulation (in complex domain) OQAM Prototype filter optimized for time and frequency localization trade-off
(PHYDYAS, K=4 optimized for ACLR) Non-adjacent subcarriers are almost perfectly separated Spectral efficiency improved as no cyclic prefix is required Efficient implementation with IFFT/FFT
FBMC transmitter with filtering in the frequency domain
Overlapping of time symbols: ISI solved by OQAM modulation
Nicolas Cassiau, Dimitri Kténas, Jean Baptiste Doré, “Time and frequency synchronization for CoMP with FBMC”, Tenth International Symposium on Wireless Communication Systems (ISWCS’13), Ilmenau, Germany, August, 2013
High performance receiver for frequency-spreading FBMC A receiver suited for asynchronous uplink multiuser access and fragmented spectrum operation
One unique (larger) FFT for all users Relaxed synchro requirements
All treatments are realized in the frequency domain BEFORE filtering by prototype filter
one-tap equalizer
Low complexity CFO correction (see on next slide)
Three interpolation filters (left, middle and right) prototype filter
Performance of FBMC Multiple Access with Relaxed Synchronization
• Due to fair frequency localization e.g. with fragmented spectrum, only the carriers located at the edges of the active spectrum are affected by interference (OFDM: interference is spread over all the active carriers)
• FBMC waveforms permit a simple way of sharing resources between cell-edge users without strict synchronization between users due to the low level of uplink interference generated by the built-in waveform filter.
• In case of QPSK, without guard carrier, the capacity is close to synchronous transmission and the level of interference is much lower than the required SNR to allow the decoding of QPSK.
• For 16-QAM modulation, FBMC gives a significantly better capacity, particularly in the range of [10-20]dB of SNR. Due to the better frequency localization, only the carriers located at the border of the user spectrum are affected by interference.
• For 64-QAM, the FBMC waveform clearly outperforms the OFDM waveform. Interference dominates the SINR for OFDM waveform and consequently for a given capacity of 5 bits/s/carrier, the SNR loss is of around 5dB.
Performance of FBMC Multiple Access with Relaxed Synchronization
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Universal Filtered Multicarrier (UFMC) • Generalization of Filtered OFDM and FBMC (FMT)
• UFMC complexity similar to OFDM
• Huge knowledge base of OFDM processing can be re-applied to UFMC
IDFT spreader V1k
+ P/S
Filter F1k with
length L s1k
x1k
+
IDFT spreader V2k
+ P/S
Filter F2k with
length L s2k
x2k
IDFT spreader VBk
+ P/S
Filter FBk with
length L sBk
xBk
Baseband to RF
channel
+ noise n
RF to Baseband
other users
xk
Time domain pre-processing
(e.g. windowing)
+ S/P 2N point-
FFT
Frequency domain symbol
processing (e.g. per
subcarrier equalization)
zeropadding
0 0
0 V. Vakilian, T. Wild, F. Schaich, S.t. Brink, J.-F. Frigon, "Universal-Filtered Multi-Carrier Technique for Wireless Systems Beyond LTE", IEEE Globecom'13, Atlanta, December 2013
Uplink CoMP: UFMC vs OFDM
• CFO is estimated and compensated.
• CFO estimation error Δε
Parameters
• CFO 10% of subcarrier spacing
• QPSK
• FFT size 128
• 12 subc. per PRB
• 6 PRBs allocated
• Filter length / CP length 16
• UFMC: Dolph-Chebychev filters with 120 dB att.
• Frequency-selective fading channel (16 taps)
• UFMC adds increased robustness in CoMP against time-frequency misalignments
UFMC OFDM
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Generalized Frequency Division Multiplexing (GFDM)
Multidimensional block structure with cyclic prefix:
Circular sub-carrier pulse shape: Overlapping (non-orthogonal) sub-carriers:
Waveform Properties
I. Gaspar, N. Michailow, A. Navarro Caldevilla, E. Ohlmer, S. Krone and G. Fettweis, „Low Complexity GFDM Receiver Based On Sparse Frequency Domain Processing“, 77th IEEE Vehicular Technology Conference (VTC Spring'13), Dresden, Germany, June 2013
256QAM, RRC, a=0.4 64QAM, RRC, a=0.4
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64QAM, RRC, a=0.2
AWGN
Rayleigh multipath
GDFM Successive Interference Cancellation (SIC)
Theoretical BER of orthogonal system can be reached with SIC
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Conclusions
5G visions like the IoT have very specific application demands and require highly asynchronous access in time and frequency
New waveforms such as FBMC, UFMC, GFDM have very desirable properties and are significantly more robust to temporal and spectral fragmentation of traffic
Two major upcoming things: System simulation to show benefit for fragmented traffic Unifying theory to explore in terms of Gabor signaling
Demonstration of multiuser uplink
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Contact
Dr. Gerhard Wunder – [email protected],de www.hhi.fraunhofer.de/wn Fraunhofer Heinrich Hertz Institute Berlin, Germany
Thank you for your attention!
www.5gnow.eu