Year: 2021
One Protocol to Rule Them All: Deep Reinforcement Learning for Wireless Network-on-Chip [NSDI’21]
Wireless Network-on-Chip (NoC) has emerged as a promising solution to scale chip multi-core processors to hundreds and thousands of cores. The broadcast nature of a wireless network allows it to significantly reduce the latency and overhead of many-to-many multicast and broadcast communication on NoC processors. Unfortunately, the traffic patterns on wireless NoCs tend to be (…)
Practical Null Steering in Millimeter Wave Networks [NSDI’21]
Millimeter wave (mmWave) is playing a central role in pushing the performance and scalability of wireless networks by offering huge bandwidth and extremely high data rates. Millimeter wave radios use phased array technology to modify the antenna beam pattern and focus their power towards the transmitter or receiver. In this paper, we explore the practicality (…)
Efficient Wideband Spectrum Sensing Using MEMS Acoustic Resonators [NSDI’21]
This paper presents S3, an efficient wideband spectrum sensing system that can detect the real-time occupancy of bands in large spectrum. S3 samples the wireless spectrum below the Nyquist rate using cheap, commodity, low power analog-to-digital converters (ADCs). In contrast to existing sub-Nyquist sampling techniques, which can only work for sparsely occupied spectrum, S3 can (…)