1 SMART ANTENNAS FOR THIRD GENERATION TDMA (EDGE) Jack H. Winters AT&T Labs - Research Red Bank, NJ 07701-7033 March 22, 2000.

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1 SMART ANTENNAS FOR THIRD GENERATION TDMA (EDGE) Jack H. Winters AT&T Labs - Research Red Bank, NJ March 22, 2000

2 OUTLINE Smart Antenna Overview 2G System Applications 3G System Applications: –EDGE –MIMO-EDGE –OFDM-MIMO-EDGE Conclusions

3 WIRELESS SYSTEM IMPAIRMENTS Wireless communication systems are limited in performance and capacity by: Delay Spread CoChannel Interference Rayleigh Fading Limited Spectrum

4 SMART ANTENNAS Today: Cellular systems with sectorization (120°)  handoffs between sectors For higher performance  Narrower sectors  Too many handoffs Smart Antenna definition: Multibeam antenna or adaptive array without handoffs between beams f1f1 f2f2 f3f3 f4f4 f5f5 f6f6

5 Smart Antennas Smart Antennas can significantly improve the performance of wireless systems Higher antenna gain / diversity gain  Range extension and multipath mitigation Interference suppression  Quality and capacity improvement Suppression of delayed signals  Equalization of ISI for higher data rates Multiple signals in the same bandwidth  Higher data rates Switched Multibeam versus Adaptive Array Antenna: Simple beam tracking, but limited interference suppression and diversity gain SIGNAL OUTPUT SIGNAL INTERFERENCE BEAMFORMER WEIGHTS SIGNAL OUTPUT BEAM SELECT SIGNAL BEAMFORMER Adaptive Antenna ArraySwitched Multibeam Antenna

6 BASE STATION DIVERSITY OPTIONS (4 ANTENNAS) 24 (12 ft) 3 (1.5 ft) 3 or 24 Spatial DiversityAngle Diversity Polarization Diversity

7 INTERFERENCE NULLING Line-Of-Sight Systems Utilizes spatial dimension of radio environment to: Maximize signal-to-interference-plus-noise ratio Increase gain towards desired signal Null interference: M-1 interferers with M antennas User 1 User 2  User 1 Signal

8 INTERFERENCE NULLING Multipath Systems User 1 User 2  User 1 Signal Antenna pattern is meaningless, but performance is based on the number of signals, not number of paths (without delay spread). => A receiver using adaptive array combining with M antennas and N-1 interferers can have the same performance as a receiver with M-N+1 antennas and no interference, i.e., can null N-1 interferers with M-N+1 diversity improvement (N-fold capacity increase).

9 Delay spread: Delay spread over [(M-1) / 2]T or M-1 delayed signals (over any delay) can be eliminated Typically use temporal processing with spatial processing for equalization: EQUALIZATION LE MLSE/DFE 

10 MIMO CAPACITY INCREASE With M antennas at both the base station and mobiles, M independent channels can be provided in the same bandwidth if the multipath environment is rich enough. 1.2 Mbps in a 30 kHz bandwidth using 8 transmit and 12 receive antennas demonstrated by Lucent (indoors). Separation of signals from two closely-spaced antennas 5 miles from the base station demonstrated by AT&T/Lucent.

11 SMART ANTENNAS IN SECOND GENERATION SYSTEMS IS-136 TDMA: –On uplink, with two receive antennas, in 1999 changed from maximal ratio combining to optimum combining Software change only - provided 3-4 dB gain in interference- limited environments Combined with power control on downlink (software change only) - increased capacity through frequency reuse reduction –Use of 4 antennas (adaptive array uplink/multibeam, with power control, downlink) extends range and/or doubles capacity (N=7 to 4 or 3) Clears spectrum for EDGE deployment (2002) Limited deployment at base stations

12 IS-136 Smart Antenna System ADAPTIVE ANTENNA RECEIVER 4 Branches TRANSMITTER RADIO UNIT RSSI, BER DUPLEXERS BEAM SCANNING RECEIVER 1 per N radios SPLITTER Power ControlShared LPAs Atten 4 Branch adaptive antenna uplink for range extension and interference suppression Fixed switched beam downlink with power control for increased coverage and capacity Uplink and downlink are independent Shared linear power amplifiers reduce amplifier requirements to handle maximum traffic load

13 EXPERIMENTAL TESTBED 1.9 GHz PCS band, IS antennas (adaptive array uplink / multibeam downlink) Baseband processing: 4 ‘C40 DSP’s DMI - realtime (symbol-by-symbol) processing with sliding window and symbol synchronization (uplink) RF channel emulator (independent Rayleigh fading) Ideal (theoretical) performance at BER (versus 2 antenna system with selection diversity): - 6 dB gain in noise alone (S/I =  ) - 4 dB gain with S/I = 0 dB Experimental Results: - Noise alone (S/I =  ): < 0.5 dB implementation loss up to 60 mph - S/I = 0 dB: 1dB implementation loss for speeds < 8 mph, close to BER at high S/N at 60 mph

14 INTERFERENCE SUPPRESSION Spatial Diversity: S/I = 0dB, AAA with 4 antennas vs. REF with 2 antennas - ADJACENT INTERFERER AAA(avg.) REF (avg.) AAA (data) ·REF (data) Theory Laboratory Results BER SNR (dB)

15 Interference Suppression Results for Required S/I Offset Interferer Only Diversity Type S/I BER = 0.01 REFAAAGAIN Spatial Pol./Spatial Pol./Angle Angle * * * Not determined

16 SMART ANTENNAS IN THIRD GENERATION SYSTEMS: EDGE High data rate ( 384 kbps) service based on GSM, for both Europe and North America 8PSK at ksps 26 symbol training sequence 1/3, 3/9 or 4/12 reuse  s

17 ADAPTIVE ARRAYS IN EDGE Spatial-Temporal processing using DDFSE for interference suppression

18 ADAPTIVE ARRAYS IN EDGE

19 MIMO-EDGE Goal: 4 transmit / 4 receive antennas in EDGE can theoretically increase capacity 4-fold with the same total transmit power (3.77X384 kbps = 1.45 Mbps is actual theoretical increase) Issues: –Joint spatial-temporal equalization –Weight adaptation –Mobile channel characteristics to support MIMO-EDGE Our approach: –Development of multi-antenna EDGE testbed –Development of 2X2 and 4X4 DDFSE architecture with MMSE combining using successive interference cancellation –Mobile channel measurements

20 MIMO Channel Testing Tx W1W1 W2W2 W3W3 W4W4 LO Synchronous test sequences Rx Record complex correlation of each transmit waveform on each receive antenna, C 4x4 Compute C H C correlation matrix to determine potential capacity and predict performance Compute fading correlation across receive array LO Mobile Transmitter Test Bed Receiver with Rooftop Antennas Transmit Antenna Configurations Space diversity Space / polarization diversity Space / pattern diversity Space / polarization / pattern diversity

21 MIMO Channel Measurement System Transmitter 4 antennas mounted on a laptop 4 coherent 1 Watt 1900 MHz transmitters with synchronous waveform generator Receive System Dual-polarized slant 45° PCS antennas separated by 10 feet and fixed multibeam antenna with ° beams 4 coherent 1900 MHz receivers with real-time baseband processing using 4 TI TMS320C40 DSPs

22 EDGE with Wideband OFDM - MIMO Downlink High data rates (>1 Mbps) required on downlink only OFDM eliminates need for temporal processing => simplified MIMO processing for much higher data rates With 1.25 MHz bandwidth, QPSK, OFDM- MIMO with 4 antennas at base station and terminal => 10 Mbps downlink

23 SMART ANTENNA RESEARCH Conclusions Smart antennas can significantly enhance wireless systems: Extend coverage  Higher antenna gain, improved diversity Increase capacity  Interference suppression Suppression of delayed signals  Better equalization of ISI with temporal equalization for higher data rates Multiple signals in the same bandwidth  Higher data rates in EDGE IS-136: Double capacity on downlink and uplink with 4 antennas/beams (cost effective evolution) EDGE:Adaptive arrays provide substantial interference suppression (>10 dB), but dual terminal antennas/power control may be required on downlink. MIMO EDGE: Up to 1.5 Mbps with 4 transmit/receive antennas.

24 SMART ANTENNA RESEARCH Evolution [Research Issues] IS-136: Optimum combining uplink / power control downlink at all base stations with existing antennas 4 antenna upgrade (adaptive uplink/multibeam downlink) for N=7 to 4 to clear spectrum for EDGE EDGE: S-T processing with IS-136 smart antennas [power control/weight generation/S-T architecture/VoIP] MIMO-EDGE (1.5 Mbps) [multipath richness] Wideband OFDM-MIMO downlink (10 Mbps) [weight generation]