Advanced Self-Interference Cancellation and Multiantenna Techniques for Full-Duplex Radios

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Advanced Self-Interference Cancellation and Multiantenna Techniques for Full-Duplex Radios Dani Korpi 1, Sathya Venkatasubramanian 2, Taneli Riihonen 2, Lauri Anttila 1, Sergei Tretyakov 2, Mikko Valkama 1, Risto Wichman 2 1 Tampere University of Technology, Department of Electronics and Communications Engineering, Finland 2 Aalto University, School of Electrical Engineering, Finland

Outline Part 1: Development of a Compact Relay Terminal Achieving High Isolation between Transmit and Receive Antennas Previous work Research methods Coupling mechamisms Shielding Summary Part 2: Cancellation of RX-induced nonlinear Introduction and motivation MIMO full-duplex transceiver model Simplified example Cancellation of RX nonlinearities Simulations Conclusions 2

Outline Part 1: Development of a Compact Relay Terminal Achieving High Isolation between Transmit and Receive Antennas Previous work Research methods Coupling mechanisms Shielding Summary Part 2: Cancellation of RX-induced nonlinear Introduction and motivation MIMO full-duplex transceiver model Simplified example Cancellation of RX nonlinearities Simulations Conclusions Part 1: Development of a Compact Relay Terminal Achieving High Isolation between Transmit and Receive Antennas 3

150 mm Previous Work: Compact MIMO Relay Terminal at 2.6 GHz 180 mm Rx element 1 Rx element 2 Tx and Rx are on the different side of the box Increased isolation Depth of the box + antenna = 20 mm The same size as a WLAN AP Use of slanted polarization Increase isolation Tx element 1 Tx element 2 Ground plane = metal box Haneda et al., EuCAP2010. Part 1: Development of a Compact Relay Terminal Achieving High Isolation between Transmit and Receive Antennas 4

Prototype Measurements in an anechoic chamber Reflection coefficients Isolation (front-back) Mean isolation = 48 db

Research Methods How to improve the isolation further? 1. Identify dominant coupling mechanism between antennas on either side of the ground plane. 2. Choose a method to improve isolation by, for example, a) Increasing separation between Tx and Rx antennas b) Increase antenna size c) Use different polarizations d) Reduce electromagnetic coupling e) Reduce surface currents Part 1: Development of a Compact Relay Terminal Achieving High Isolation between Transmit and Receive Antennas 6

Reference Model of the Relay Terminal 50 mm 5 mm 18 mm 5 mm 180 mm 50 mm 13 mm 150 mm 7

Coupling Mechanisms Galvanic coupling Capacitive coupling Inductive coupling Part 1: Development of a Compact Relay Terminal Achieving High Isolation between Transmit and Receive Antennas 8

Determination of Coupling Mechanisms No direct contact No galvanic coupling Electric field E E0 Wave impedance 120 H H 0 Magnetic field Magnetic field is more dominant, hence stronger inductive coupling! Part 1: Development of a Compact Relay Terminal Achieving High Isolation between Transmit and Receive Antennas 9

Shielding Loops that create cancelling magnetic fields Electromagnetic induction Part 1: Development of a Compact Relay Terminal Achieving High Isolation between Transmit and Receive Antennas 10

Shielding Magnetic field reduced Magnetic field in reference model Magnetic field with loops Part 1: Development of a Compact Relay Terminal Achieving High Isolation between Transmit and Receive Antennas 11

Isolation [db] Shielding The worst isolation increased by 6 db Reference model: 49 db With metal loops: 55 db Frequency [GHz] Part 1: Development of a Compact Relay Terminal Achieving High Isolation between Transmit and Receive Antennas 12

Summary Mission Design of highly isolated transmit and receive antennas under size and volume constraint Finding Inductive coupling due to magnetic field is the dominant mechanism affecting isolation Solution Installing metal loops to produce counter-flowing magnetic fields Result 6 db improvement of the worst isolation relative to the reference case Future works Antenna fabrication, testing other methods of coupling reduction Part 1: Development of a Compact Relay Terminal Achieving High Isolation between Transmit and Receive Antennas 13

Outline Part 1: Development of a Compact Relay Terminal Achieving High Isolation between Transmit and Receive Antennas Previous work Research methods Coupling mechamisms Shielding Summary Part 2: Cancellation of RX-induced nonlinear Introduction and motivation MIMO full-duplex transceiver model Simplified example Cancellation of RX nonlinearities Simulations Conclusions Part 2: Cancellation of RX-induced nonlinear 14

Introduction and motivation In a full-duplex transceiver, the power of the SI signal is usually very high at the receiver chain input Without highly linear components in the RX chain, the signal is nonlinearly distorted Part 2: Cancellation of RX-induced nonlinear 15

MIMO full-duplex transceiver model Part 2: Cancellation of RX-induced nonlinear 16

MIMO full-duplex transceiver model Component Gain (db) IIP2 (dbm) IIP3 (dbm) - RX components correspond to typical low-/medium-cost devices - All the RX chains are assumed to be identical - A linear transmit chain is assumed NF (db) LNA (Rx) 25 43-15 4.1 IQ Mixer (Rx) 6 42 15 4 VGA (Rx) 0-69 43 10 4 Parameter Value SNR requirement 10 db Bandwidth 12.5 MHz Sensitivity level -88.9 dbm Received signal power -83.9 dbm Antenna separation 40 db RF cancellation 20 db ADC bits 12 PAPR 10 db PA gain 20 db Part 2: Cancellation of RX-induced nonlinear 17

Power of different signal components (dbm) Simplified example The RX induced nonlinear seems to be a significant factor with higher transmit powers This motivates the development and utilization of SI regeneration methods capable of modeling also nonlinear -10-20 -30-40 -50-60 Antenna separation: 40 db, RF cancellation: 20 db 2nd order nonlinearity -70 3rd order nonlinearity Self-interference -80 Signal of interest Quantization noise Thermal noise -90 0 5 10 15 20 25 Transmit power (dbm) Part 2: Cancellation of RX-induced nonlinear 18

Cancellation of RX nonlinearities The signal model at the digital baseband is of the form y i n = a i,1 x i n + a i,2 x i (n) 2 +a i,3 x i n 2 x i n + a i,4 (x i (n)) 3, where x i n is the signal at the input of the ith receiver chain The coefficients can be solved with linear leastsquares as a i = (X i,aug X i,aug ) 1 H H X i,aug y i, where X i,aug = 2 x i x i x 2 i x i (x i ) 3, and a i = a i,1 a i,2 a i,3 a T i,4 Part 2: Cancellation of RX-induced nonlinear 19

Cancellation of RX nonlinearities The signal x i can be determined by estimating the SI coupling channel first with a low transmit power Then, the receiver chain is linear and the known transmitted signal is only distorted by the coupling channel This two-stage estimation procedure allows the cancellation of the RX-induced nonlinearities Part 2: Cancellation of RX-induced nonlinear 20

Simulations The performance of the proposed nonlinear SI cancellation algorithm is evaluated with waveform simulations Here, the previously presented 2x2 MIMO full-duplex transceiver model is used The parameters of the OFDM signal are presented in the table Parameter Constellation Number of subcarriers Number of data subcarriers Guard interval Sample length Symbol length Oversampling factor Value 16-QAM 64 48 25 % of symbol duration 15.625 ns 4 μs 4 Part 2: Cancellation of RX-induced nonlinear 21

SINR (db) Simulations Here, the SINR is shown for one receiver chain The SINR is significantly increased when using the proposed nonlinear SI cancellation algorithm instead of only linear estimation 15 10 5 0-5 -10-15 -20 Nonlinear estimation -25 Linear estimation Nonlinear estimation with linear RX chain -30 0 5 10 15 20 Transmit Power (dbm) Part 2: Cancellation of RX-induced nonlinear Antenna separation: 40 db, RF cancellation: 20 db, M = 5, N = 10000 22

Conclusions It was observed that with high transmit powers, the strong SI signal induces nonlinear in the receiver chain The proposed nonlinear SI cancellation algorithm allows the usage of higher transmit powers than can be achieved with linear processing Part 2: Cancellation of RX-induced nonlinear 23

Thank you! Questions? Comments? 24