Distributed Beam Alignment in sub-THz D2D Networks
Fernando Pedraza, Jan Christian Hauffen, Fabian Jaensch, Shuangyang, Li, and Giuseppe Caire

TL;DR
This paper introduces a novel, efficient method for distributed beam alignment in sub-THz D2D networks using compressed sensing and a unique pilot design, significantly reducing overhead and enabling scalable network-wide alignment.
Contribution
It proposes a new pilot sequence design and a sequential partitioning strategy that achieve logarithmic overhead scaling for beam alignment in large D2D networks.
Findings
Reduces pilot overhead compared to baseline methods.
Enables simultaneous multi-device alignment with orthogonal frequency pilots.
Channels become frequency flat after beamforming, suitable for single carrier transmission.
Abstract
Devices in a device-to-device (D2D) network operating in sub-THz frequencies require knowledge of the spatial channel that connects them to their peers. Acquiring such high dimensional channel state information entails large overhead, which drastically increases with the number of network devices. In this paper, we propose an accelerated method to achieve network-wide beam alignment in an efficient way. To this aim, we consider compressed sensing estimation enabled by a novel design of pilot sequences. Our designed pilots have constant envelope to alleviate hardware requirements at the transmitters, while they exhibit a "comb-like"' spectrum that flexibly allocates energy only on certain frequencies. This design enables multiple devices to transmit thier pilots concurrently while remaining orthogonal in frequency, achieving simultaneous alignment of multiple devices. Furthermore, we…
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Taxonomy
TopicsMicrowave Engineering and Waveguides · Gyrotron and Vacuum Electronics Research · Radio Frequency Integrated Circuit Design
