Turbocharging ambient backscatter communication

Communication primitives such as coding and multiple antenna processing have provided significant benefits for traditional wireless systems. Existing designs, however, consume significant power and computational resources, and hence cannot be run on low complexity, power constrained backscatter devices. This paper makes two main contributions: (1) we introduce the first multi-antenna cancellation design that operates on backscatter devices while retaining a small form factor and power footprint, (2) we introduce a novel coding mechanism that enables long range communication as well as concurrent transmissions and can be decoded on backscatter devices. We build hardware prototypes of the above designs that can be powered solely using harvested energy from TV and solar sources. The results show that our designs provide benefits for both RFID and ambient backscatter systems: they enable RFID tags to communicate directly with each other at distances of tens of meters and through multiple walls. They also increase the communication rate and range achieved by ambient backscatter systems by 100X and 40X respectively. We believe that this paper represents a substantial leap in the capabilities of backscatter communication.

[1]  Shyamnath Gollakota,et al.  Bringing Gesture Recognition to All Devices , 2014, NSDI.

[2]  Deepak Ganesan,et al.  Enabling Bit-by-Bit Backscatter Communication in Severe Energy Harvesting Environments , 2014, NSDI.

[3]  Colby Boyer,et al.  — Invited Paper — Backscatter Communication and RFID: Coding, Energy, and MIMO Analysis , 2014, IEEE Transactions on Communications.

[4]  David Wetherall,et al.  Ambient backscatter: wireless communication out of thin air , 2013, SIGCOMM.

[5]  Qing Yang,et al.  BigStation: enabling scalable real-time signal processingin large mu-mimo systems , 2013, SIGCOMM.

[6]  Dhanalakshmi Srinivasan.  A Low Power VLSI Implementation of 2X2 MIMO OFDM Transceiver with ICI-SC Scheme , 2013 .

[7]  N. Honma,et al.  Passive MIMO transmission using load modulation , 2012, 2012 International Symposium on Antennas and Propagation (ISAP).

[8]  Xun Chen,et al.  On the performance of MIMO RFID backscattering channels , 2012, EURASIP Journal on Wireless Communications and Networking.

[9]  Chamath Divarathne,et al.  MIMO based chipless RFID system , 2012, 2012 IEEE International Conference on RFID-Technologies and Applications (RFID-TA).

[10]  Piotr Indyk,et al.  Efficient and reliable low-power backscatter networks , 2012, CCRV.

[11]  Jaeseok Kim,et al.  A Low-power and Low-complexity Baseband Processor for MIMO-OFDM WLAN Systems , 2012, J. Signal Process. Syst..

[12]  S. Ramamurthy,et al.  Passive tag-to-tag communication , 2012, 2012 IEEE International Conference on RFID (RFID).

[13]  David Wetherall,et al.  Backscatter protocols and energy-efficient computing for rf-powered devices , 2012 .

[14]  Srinivasan Seshan,et al.  Clearing the RF smog: making 802.11n robust to cross-technology interference , 2011, SIGCOMM.

[15]  Z. Jane Wang,et al.  Closed-Form BER Analysis of Non-Coherent FSK in MISO Double Rayleigh Fading/RFID Channel , 2011, IEEE Communications Letters.

[16]  Jafar Ghaisari,et al.  A direct sequence spread spectrum code acquisition circuit for wireless sensor networks , 2011 .

[17]  David Wetherall,et al.  Dewdrop: An Energy-Aware Runtime for Computational RFID , 2011, NSDI.

[18]  David Wetherall,et al.  Demystifying 802.11n power consumption , 2010 .

[19]  Z. Jane Wang,et al.  Gains by a space-time-code based signaling scheme for multiple-antenna RFID tags , 2010, CCECE 2010.

[20]  Robert Langwieser,et al.  A UHF frontend for MIMO applications in RFID , 2010, 2010 IEEE Radio and Wireless Symposium (RWS).

[21]  Robert Langwieser,et al.  Maximal ratio combining receivers for dual antenna RFID readers , 2009, 2009 IEEE MTT-S International Microwave Workshop on Wireless Sensing, Local Positioning, and RFID.

[22]  Lih-Chyau Wuu,et al.  Zero-Collision RFID Tags Identification Based on CDMA , 2009, 2009 Fifth International Conference on Information Assurance and Security.

[23]  C. Mutti,et al.  CDMA-based RFID Systems in Dense Scenarios: Concepts and Challenges , 2008, 2008 IEEE International Conference on RFID.

[24]  G.D. Durgin,et al.  Gains For RF Tags Using Multiple Antennas , 2008, IEEE Transactions on Antennas and Propagation.

[25]  Tong Zhang,et al.  Low power soft-output signal detector design for wireless MIMO communication systems , 2007, Proceedings of the 2007 international symposium on Low power electronics and design (ISLPED '07).

[26]  R. Piechocki,et al.  Analog MIMO detection on the basis of Belief Propagation , 2006, 2006 49th IEEE International Midwest Symposium on Circuits and Systems.

[27]  Tughrul Arslan,et al.  Low power layered space-time channel detector architecture for MIMO systems , 2006, IEEE Computer Society Annual Symposium on Emerging VLSI Technologies and Architectures (ISVLSI'06).

[28]  David Tse,et al.  Fundamentals of Wireless Communication , 2005 .

[29]  J. McGeehan,et al.  Analog MIMO detector: the concept and initial results , 2004, 1st International Symposium onWireless Communication Systems, 2004..

[30]  Naresh R. Shanbhag,et al.  Low-power MIMO signal processing , 2003, IEEE Trans. Very Large Scale Integr. Syst..

[31]  John Thompson,et al.  Low Power Receiver Architectures for Multi-Carrier CDMA , 2002 .

[32]  Martti Hallikainen,et al.  Comparison of analog continuum correlators for remote sensing and radio astronomy , 2002, IEEE Trans. Instrum. Meas..

[33]  W. L. Holzapfel,et al.  A wideband analog correlator for microwave background observations , 2001, IEEE Trans. Instrum. Meas..

[34]  C. Chien,et al.  Low-power direct-sequence spread-spectrum modem architecture for distributed wireless sensor networks , 2001, ISLPED'01: Proceedings of the 2001 International Symposium on Low Power Electronics and Design (IEEE Cat. No.01TH8581).

[35]  Naresh R. Shanbhag,et al.  Low-power CDMA multiuser receiver architectures , 1999, 1999 IEEE Workshop on Signal Processing Systems. SiPS 99. Design and Implementation (Cat. No.99TH8461).

[36]  A. N. Willson,et al.  Low-power Viterbi decoder for CDMA mobile terminals , 1998 .

[37]  Stephen Padin.  A wideband analog continuum correlator for radio astronomy , 1994 .