Invited: Context-aware energy-efficient communication for IoT sensor nodes

The widespread proliferation of sensor nodes in the era of Internet of Things (IoT) coupled with increasing sensor fidelity and data-acquisition modality is expected to generate 30+ Exabytes of data per month by 2020. In this data driven IoT world, wireless communication is a significant consumer of energy, and paying careful attention to the balance between local and remote computation is critical to overall energy usage. The communication fabrics that will handle this enormous amount of IoT workload will need to be energy-efficient under changing contexts such as channel conditions, applications, QoS, data-rate requirements etc. Moreover, the IoT devices will often include multiple parallel communication fabrics; e.g. wired, proximity, mm-wave, 5G etc. We will discuss how self-learning can enable context-aware operation in such communication systems to allow minimum energy/bit and energy/information for any given communication scenario. The need for context-aware operation within and among multiple physical layers (PHYs) in future IoT workloads will be highlighted. Such energy-efficient communication (Shannon's Law) along with low-power computing (Moore's Law), is expected to harness the true potential of the IoT revolution and produce dramatic societal impact.

[1]  Abhijit Chatterjee,et al.  A Power-Scalable Channel-Adaptive Wireless Receiver Based on Built-In Orthogonally Tunable LNA , 2012, IEEE Transactions on Circuits and Systems I: Regular Papers.

[2]  Li Lin,et al.  20.5 A 40nm dual-band 3-stream 802.11a/b/g/n/ac MIMO WLAN SoC with 1.1Gb/s over-the-air throughput , 2014, 2014 IEEE International Solid-State Circuits Conference Digest of Technical Papers (ISSCC).

[3]  Krishnamurthy Soumyanath,et al.  A 28mW Spectrum-Sensing Reconfigurable 20MHz 72dB-SNR 70dB-SNDR DT ΔΣ ADC for 802.11n/WiMAX Receivers , 2008, 2008 IEEE International Solid-State Circuits Conference - Digest of Technical Papers.

[4]  Tadahiro Kuroda,et al.  A 2.5Gb/s/ch 4PAM inductive-coupling transceiver for non-contact memory card , 2010, 2010 IEEE International Solid-State Circuits Conference - (ISSCC).

[5]  Abhijit Chatterjee,et al.  Process-Variation Tolerant Channel-Adaptive Virtually Zero-Margin Low-Power Wireless Receiver Systems , 2014, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

[6]  Abhijit Chatterjee,et al.  Environment-Adaptive Concurrent Companding and Bias Control for Efficient Power-Amplifier Operation , 2011, IEEE Transactions on Circuits and Systems I: Regular Papers.

[7]  Asad A. Abidi,et al.  Adaptive analog IF signal processor for a wide-band CMOS wireless receiver , 2001 .

[8]  Abhijit Chatterjee,et al.  Orthogonally tunable inductorless RF LNA for adaptive wireless systems , 2011, 2011 IEEE International Symposium of Circuits and Systems (ISCAS).

[9]  Abhijit Chatterjee,et al.  VIZOR: Virtually zero margin adaptive RF for ultra low power wireless communication , 2007, 2007 25th International Conference on Computer Design.

[10]  Elad Alon,et al.  A 50mW-TX 65mW-RX 60GHz 4-element phased-array transceiver with integrated antennas in 65nm CMOS , 2013, 2013 IEEE International Solid-State Circuits Conference Digest of Technical Papers.

[11]  Shinya Nakano,et al.  A 12-Gb/s Non-Contact Interface With Coupled Transmission Lines , 2013, IEEE Journal of Solid-State Circuits.

[12]  Shreyas Sen,et al.  A 32 Gb/s Bidirectional 4-channel 4 pJ/b Capacitively Coupled Link in 14 nm CMOS for Proximity Communication , 2016, IEEE Journal of Solid-State Circuits.

[13]  Justin Schauer,et al.  Circuit Techniques to Enable 430Gb/s/mm2 Proximity Communication , 2007, 2007 IEEE International Solid-State Circuits Conference. Digest of Technical Papers.

[14]  Abhijit Chatterjee,et al.  Real-Time Use-Aware Adaptive RF Transceiver Systems for Energy Efficiency Under BER Constraints , 2015, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

[15]  Shinya Nakano,et al.  A 12Gb/s non-contact interface with coupled transmission lines , 2011, 2011 IEEE International Solid-State Circuits Conference.

[16]  Andrea J. Goldsmith,et al.  Adaptive coded modulation for fading channels , 1997, Proceedings of ICC'97 - International Conference on Communications.

[17]  Koichiro Tanaka,et al.  A Fully Integrated 60-GHz CMOS Transceiver Chipset Based on WiGig/IEEE 802.11ad With Built-In Self Calibration for Mobile Usage , 2013, IEEE Journal of Solid-State Circuits.

[18]  Abhijit Chatterjee,et al.  Multidimensional Adaptive Power Management for Low-Power Operation of Wireless Devices , 2008, IEEE Transactions on Circuits and Systems II: Express Briefs.

[19]  Abhijit Chatterjee,et al.  Real-time use-aware adaptive MIMO RF receiver systems for energy efficiency under BER constraints , 2013, 2013 50th ACM/EDAC/IEEE Design Automation Conference (DAC).

[20]  Koichiro Tanaka,et al.  A fully integrated 60GHz CMOS transceiver chipset based on WiGig/IEEE802.11ad with built-in self calibration for mobile applications , 2013, 2013 IEEE International Solid-State Circuits Conference Digest of Technical Papers.

[21]  Li Li,et al.  A Low-Power Adaptive Receiver Utilizing Discrete-Time Spectrum-Sensing , 2013, IEEE Transactions on Microwave Theory and Techniques.

[22]  Shreyas Sen.  Channel-adaptive zero-margin & process-adaptive self-healing communication circuits/systems: Special session paper , 2014, 2014 IEEE/ACM International Conference on Computer-Aided Design (ICCAD).

[23]  Abhijit Chatterjee,et al.  Self-learning MIMO-RF receiver systems: Process resilient real-time adaptation to channel conditions for low power operation , 2014, 2014 IEEE/ACM International Conference on Computer-Aided Design (ICCAD).

[24]  Abhijit Chatterjee,et al.  Pro-VIZOR: Process tunable virtually zero margin low power adaptive RF for wireless systems , 2008, 2008 45th ACM/IEEE Design Automation Conference.

[25]  Abhijit Chatterjee,et al.  Self learning analog/mixed-signal/RF systems: Dynamic adaptation to workload and environmental uncertainties , 2015, 2015 IEEE/ACM International Conference on Computer-Aided Design (ICCAD).

[26]  Kuroda Tadahiro,et al.  A 2.5Gb/s/ch 4PAM Inductive-Coupling Transceiver for Non-Contact Memory Card , 2010 .