Invited Paper: mmMoReEdge: A mmWave Modular and Reconfigurable Testbed Design using a Smart Edge Framework

As the complexity of hardware (sensors, components, antennas) and software (algorithms) increases, it is practical and efficient to manage and process test configuration and data analysis as close to the testbed as possible (inline) instead of offline compute platforms. We present mmMoReEdge, a mmWave modular and reconfigurable testbed inspired by a smart edge networking and communication framework, typically found in IoT devices. In mmMoReEdge, complex signal processing is performed on the edge (local servers in close proximity) of a group of testbed nodes. mmMoReEdge offers modularity via configuration of phased-array antennas, RF front ends, ADC, and DAC, while the edge processing provides reconfigurability via scalable inline processing. Using a mathematical model for processing time (the proposed figure of merit), we present results which show that mmMoReEdge is 50% to 70% faster as compared to an offline general-purpose processor based architecture and is 30% to 40% faster as compared to a node-based architecture with one FPGA.

[1]  Qingyu Miao,et al.  Spectrum Analysis and Regulations for 5G , 2017 .

[2]  Kevin Marquet,et al.  Software defined radio architecture survey for cognitive testbeds , 2012, 2012 8th International Wireless Communications and Mobile Computing Conference (IWCMC).

[3]  Piero Castoldi,et al.  On experimenting 5G: Testbed set-up for SDN orchestration across network cloud and IoT domains , 2017, 2017 IEEE Conference on Network Softwarization (NetSoft).

[4]  Christos H. Papadimitriou,et al.  Optimality of the Fast Fourier transform , 1979, JACM.

[5]  S. Winograd On computing the Discrete Fourier Transform. , 1976, Proceedings of the National Academy of Sciences of the United States of America.

[6]  Raed A. Abd-Alhameed,et al.  A New Low Complexity Angle of Arrival Algorithm for 1D and 2D Direction Estimation in MIMO Smart Antenna Systems , 2017, Sensors.