Beam Alignment and Tracking for Autonomous Vehicular Communication Presenter: Kaushik R. Chowdhury using IEEE 802.11ad-based Authors: Guillem Reus, Kumar Vijay, radar Carlos Bocanegra , Yonina Eldar and Kaushik Chowdhury. Next GEneration NEtworks and SYStems Lab
Agenda of the talk < > 2 • The need of 802.11ad radar • 802.11ad beamtraining overview • Radar within 802.11ad • System design • Performance evaluation
Introduction < > 3 Modern Communications require high data-rates IEEE 802.11ad enables high throughput at 60GHz IEEE 802.11ad IEEE 802.11ad radar-aided beamtraining beamtraining not suitable for mobility.
802.11ad - MAC Layer < > 4 BTI The AP sends beacon frames across its sectors to allow users to detect the most beneficial sector
802.11ad - MAC Layer < > 5 A-BFT Users reply back with the best BS sector. This information is shared across every sector so that the BS is able to choose the user’s best sector as well.
802.11ad - MAC Layer < > 6 ATI The AP communicates the sector selection to the connected devices.
7 Radar frames withinthe IEEE 802.11ad < > 7 Definition Two length N unimodular sequences Ga N and Gb N are Golay complementary if they satisfy the perfect aperiodic autocorrelation property, i.e., Autocorrelation properties applications Radar: Zero range sidelobes aid • identifying closely spaced targets. Communication: Accurate channel • estimation.
8 IEEE 802.11ad Radar Signal Processing < > 8 The four correlators outputs, each for a 256 Golay Sequence, are delayed and summed up Final channel estimate is the mean of two Golay correlators outputs. Position estimation 2-D FFT in Peak ! ℎ[𝑜] delay-Doppler Detection Velocity estimation plane
9 System Architecture < > 9 Assumptions V2I IEEE 802.11 sync • Straight road with cars at moving at a constant velocity. 1. During the BTI, the • LOS. BS estimates cars • Overlap between the communication sectors location. 2. BS allocates detected cars along the A-BFT. 3. Vehicles finalize the handshake
Beamwidth – Distance analysis < > 10 Design constraint: Narrow beamwidths are preferred over 10 short distances.
Performance evaluation < > 11 • Accurate velocity estimations require low ∆𝜉 11 • Higher overlap ratio reduces misalignment probability
Performance evaluation < > 12 We reduce the overhead compared to the IEEE 802.11ad 12 beamtraining procedure.
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