Swift-Link: A Compressive Beam Alignment Algorithm For Practical Mmwave Radios

Millimeter wave (mmWave) bands offer a large amount of spectrum that can support many high data rate applications. To efficiently use the spectrum at mmWave, the wireless link between the transmitting and receiving radios must be configured properly. Compressed sensing (CS) is a promising approach for fast mmWave link configuration in the absence of hardware impairments. Most CS-based techniques for mmWave systems, however, use a random design for the CS matrix and fail under a hardware impairment called carrier frequency offset (CFO). In this talk, I will discuss about our new construction of CS matrices that achieves robustness to CFO. The construction is based on our framework called FALP which maps a special class of CS matrices to two dimensional trajectories. I will show how restricting the randomness in trajectories can result in a new class of robust CS matrices. Our robust compressive beam alignment solution called Swift-Link acquires channel measurements using a CS matrix defined by this class. Swift-Link has a lower complexity than standard CS-based solutions and can be realized in ultra-low resolution mmWave radios.