The present deliverable “Pencil beamforming and device tracking algorithms and performance, version 2.0” focuses on multi-resolution codebook design for beamforming and device discovery, effects of phase noise on beamforming performance (both for beam shape metrics – such as main lobe gain, sidelobe gain, beam pointing error – and bit error rates), cooperative fast beam tracking approach to enable efficient beam tracking, interference from other links due to rain scattering when using pencil beamforming, for realizing terabit/s wireless connectivity.
In order to avoid repetition and to keep length of the deliverable reasonable, all sections after Section 2.3 are totally new and focus in detail on some specific aspects related to pencil beamforming and tracking considered important for TERRANOVA. For discussion on the other aspects, we refer the reader to version v1.0 of this deliverable [Terranova2018].
Section 2 presents the background on beamforming, beam discovery and iterative beam search. Some material has been reproduced from D3.1 for readability. Section 2.4 focuses on multi-resolution codebooks needed for iterative search schemes using successively narrower beams. The impact of transmitter (TX) and receiver (RX) beam misalignment is considered in Section 2.5.
Section 3 focuses on the effects of phase noise on beamforming. Specifically, metrics concerning the beam shape are studied. Also, received constellations and the errors in them due to phase noise are studied. Finally, bit error rate results are presented showing the effect of the phase noise.
In Section 4, the multi-resolution or hierarchical codebooks presented in Section 2.4 are evaluated and compared. It is shown that hybrid beamforming can enable effective codebook design.
In Section 5, cooperative fast device tracking approach is proposed and evaluated. This approach is more advanced than the version presented in the earlier deliverable [Terranova2018]. Effects of human blockage on tracking are also considered.
It is well known from lower frequencies (including mmWave) that rain scattering can cause interference between different communication links using beamforming. As a response to a comment from a reviewer, in Section 6, we check the effect of rain scattering at 300 GHz and compare the results to those at 60 GHz. Accuracy of the ITU rain loss model is also evaluated by simulations.
You can find the PDF here: TERRANOVA D3.3