Millimeter Wave Backscatter: Toward Batteryless Wireless Networking at Gigabit Speeds

Backscatter networks (such as RFID, and WiFi backscatter) are very attractive for IoT applications due to their ultra-low energy consumption. In fact, their required energy to operate is low enough that it can be harvested from the environment without having a battery. However, existing backscatter networks offer very limited data-rates (i.e. at most one Mbps). Hence, despite their energy benefit, their applications are very limited. This paper presents the design of mmTag, a backscatter network which can achieve Gbps data-rates. mmTag achieves this by developing a backscatter technology operating in the mmWave spectrum band. mmWave promises to enable high throughput wireless links by offering massive chunks of high-frequency spectrum. However, to use mmWave frequencies in backscatter networks, we need to address a fundamental challenge: beam alignment. mmWave devices require highly directional antennas with very narrow beams, and communication is possible only when the transmitter's beam is aligned with the receiver's beam. However, existing beam searching techniques require power hungry components, and most importantly require the node to transmit a signal which is not possible for a backscatter device. mmTag solves this problem by building a mmWave backscatter tag which performs beam alignment without using any active component. Finally, we implement mmTag and empirically demonstrate some results.

[1]  Xiang-Yang Li,et al.  Diamond: Nesting the Data Center Network With Wireless Rings in 3-D Space , 2016, IEEE/ACM Transactions on Networking.

[2]  Karthikeyan Sundaresan,et al.  RIO: A Pervasive RFID-based Touch Gesture Interface , 2017, MobiCom.

[3]  Theodore S. Rappaport,et al.  Millimeter-Wave Cellular Wireless Networks: Potentials and Challenges , 2014, Proceedings of the IEEE.

[4]  Sachin Katti,et al.  BackFi: High Throughput WiFi Backscatter , 2015, SIGCOMM.

[5]  Dina Katabi,et al.  RF-IDraw: virtual touch screen in the air using RF signals , 2014, S3 '14.

[6]  Piotr Indyk,et al.  Fast millimeter wave beam alignment , 2018, SIGCOMM.

[7]  Angela Doufexi,et al.  An efficient and low-complexity beam training technique for mmWave communication , 2015, 2015 IEEE 26th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC).

[8]  Jack Kurzweil,et al.  An introduction to digital communications , 1999 .

[9]  Theodore S. Rappaport,et al.  Millimeter Wave Mobile Communications for 5G Cellular: It Will Work! , 2013, IEEE Access.

[10]  Jiangchuan Liu,et al.  Spatial Stream Backscatter Using Commodity WiFi , 2018, MobiSys.

[11]  Kyungwhoon Cheun,et al.  Millimeter-wave beamforming as an enabling technology for 5G cellular communications: theoretical feasibility and prototype results , 2014, IEEE Communications Magazine.

[12]  Ali Abedi,et al.  WiTAG: Rethinking Backscatter Communication for WiFi Networks , 2018, HotNets.

[13]  Omid Salehi-Abari,et al.  Poster: A millimeter wave software defined radio platform with phased arrays , 2016, MobiCom.

[14]  Ali Abedi,et al.  A millimeter wave network for billions of things , 2019, SIGCOMM.

[15]  Ali Abedi,et al.  Bringing mmWave Communications to Raspberry Pi , 2018, MobiCom.

[16]  Mehdi Bennis,et al.  Toward Low-Latency and Ultra-Reliable Virtual Reality , 2018, IEEE Network.

[17]  Bin Li,et al.  On the Efficient Beam-Forming Training for 60GHz Wireless Personal Area Networks , 2013, IEEE Transactions on Wireless Communications.

[18]  Unsoo Ha,et al.  Food and Liquid Sensing in Practical Environments using RFIDs , 2020, NSDI.

[19]  Joongheon Kim,et al.  Fast millimeter-wave beam training with receive beamforming , 2014, Journal of Communications and Networks.

[20]  Joshua R. Smith,et al.  Wi-fi backscatter , 2014, SIGCOMM 2015.

[21]  Omid Salehi-Abari,et al.  Enabling High-Quality Untethered Virtual Reality , 2017, NSDI.

[22]  Lili Qiu,et al.  Konark: A RFID based System for Enhancing In-store Shopping Experience , 2017, WPA@MobiSys.

[23]  Ada S. Y. Poon,et al.  Coding the Beams: Improving Beamforming Training in mmWave Communication System , 2011, 2011 IEEE Global Telecommunications Conference - GLOBECOM 2011.

[24]  Manos M. Tentzeris,et al.  Millimeter-wave backscatter: A quantum leap for gigabit communication, RF sensing, and wearables , 2017, 2017 IEEE MTT-S International Microwave Symposium (IMS).

[25]  Robert J. Mailloux,et al.  Phased Array Antenna Handbook , 1993 .

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

[27]  Parameswaran Ramanathan,et al.  OpenMili: a 60 GHz software radio platform with a reconfigurable phased-array antenna , 2016, MobiCom.

[28]  Sachin Katti,et al.  FreeRider: Backscatter Communication Using Commodity Radios , 2017, CoNEXT.

[29]  László Monostori,et al.  A survey of applications and requirements of unique identification systems and RFID techniques , 2011, Comput. Ind..

[30]  Tareq Y. Al-Naffouri,et al.  Opportunistic beam training with hybrid analog/digital codebooks for mmWave systems , 2015, 2015 IEEE Global Conference on Signal and Information Processing (GlobalSIP).

[31]  Muhammad Ali Imran,et al.  MmWave massive-MIMO-based wireless backhaul for the 5G ultra-dense network , 2015, IEEE Wireless Communications.

[32]  Upamanyu Madhow,et al.  Compressive tracking with 1000-element arrays: A framework for multi-Gbps mm wave cellular downlinks , 2012, 2012 50th Annual Allerton Conference on Communication, Control, and Computing (Allerton).

[33]  Sachin Katti,et al.  HitchHike: Practical Backscatter Using Commodity WiFi , 2016, SenSys.

[34]  E. Sharp,et al.  Van Atta reflector array , 1960 .

[35]  KatabiDina,et al.  Efficient and reliable low-power backscatter networks , 2012 .