HoloBeam: Learning Optimal Beamforming in Far-Field Holographic Metasurface Transceivers

• URL: http://arxiv.org/abs/2401.05420v1
• Date: Sat, 30 Dec 2023 03:29:32 GMT
• Title: HoloBeam: Learning Optimal Beamforming in Far-Field Holographic Metasurface Transceivers
• Authors: Debamita Ghosh and Manjesh Kumar Hanawal and Nikola Zlatanova
• Abstract summary: Holographic Metasurface Transceivers (HMTs) are emerging as cost-effective substitutes to large antenna arrays for beamforming in Millimeter and TeraHertz wave communication. To achieve desired channel gains through beamforming in HMT, phase-shifts of a large number of elements need to be appropriately set, which is challenging. We develop a learning algorithm using a it fixed-budget multi-armed bandit framework to beamform and maximize received signal strength at the receiver for far-field regions.
• Score: 5.402030962296633
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Holographic Metasurface Transceivers (HMTs) are emerging as cost-effective substitutes to large antenna arrays for beamforming in Millimeter and TeraHertz wave communication. However, to achieve desired channel gains through beamforming in HMT, phase-shifts of a large number of elements need to be appropriately set, which is challenging. Also, these optimal phase-shifts depend on the location of the receivers, which could be unknown. In this work, we develop a learning algorithm using a {\it fixed-budget multi-armed bandit framework} to beamform and maximize received signal strength at the receiver for far-field regions. Our algorithm, named \Algo exploits the parametric form of channel gains of the beams, which can be expressed in terms of two {\it phase-shifting parameters}. Even after parameterization, the problem is still challenging as phase-shifting parameters take continuous values. To overcome this, {\it\HB} works with the discrete values of phase-shifting parameters and exploits their unimodal relations with channel gains to learn the optimal values faster. We upper bound the probability of {\it\HB} incorrectly identifying the (discrete) optimal phase-shift parameters in terms of the number of pilots used in learning. We show that this probability decays exponentially with the number of pilot signals. We demonstrate that {\it\HB} outperforms state-of-the-art algorithms through extensive simulations.

Related papers

• Accelerated zero-order SGD under high-order smoothness and overparameterized regime [79.85163929026146]
  We present a novel gradient-free algorithm to solve convex optimization problems. Such problems are encountered in medicine, physics, and machine learning. We provide convergence guarantees for the proposed algorithm under both types of noise.
  arXiv  Detail & Related papers  (2024-11-21T10:26:17Z)
• A Fast and Simple Algorithm for computing the MLE of Amplitude Density Function Parameters [0.0]
  In this work, the maximum likelihood estimator (MLE) is proposed for parameters of the amplitude distribution. It is proved that the emphprojected data follow a zero-location symmetric $alpha$-stale distribution for which the MLE can be computed quite fast. The average of computed MLEs based on two emphprojections is considered as estimator for parameters of the amplitude distribution.
  arXiv  Detail & Related papers  (2023-11-14T07:04:47Z)
• Optimal Algorithms for the Inhomogeneous Spiked Wigner Model [89.1371983413931]
  We derive an approximate message-passing algorithm (AMP) for the inhomogeneous problem. We identify in particular the existence of a statistical-to-computational gap where known algorithms require a signal-to-noise ratio bigger than the information-theoretic threshold to perform better than random.
  arXiv  Detail & Related papers  (2023-02-13T19:57:17Z)
• Variational waveguide QED simulators [58.720142291102135]
  Waveguide QED simulators are made by quantum emitters interacting with one-dimensional photonic band-gap materials. Here, we demonstrate how these interactions can be a resource to develop more efficient variational quantum algorithms.
  arXiv  Detail & Related papers  (2023-02-03T18:55:08Z)
• Learning Optimal Phase-Shifts of Holographic Metasurface Transceivers [8.90567774835436]
  We propose an algorithm for learning the optimal phase-shifts at a HMT for the far-field channel model. Our proposed algorithm exploits the structure of the channel gains in the far-field regions and learns the optimal phase-shifts in presence of noise in the received signals.
  arXiv  Detail & Related papers  (2022-12-12T12:43:45Z)
• Fast Beam Alignment via Pure Exploration in Multi-armed Bandits [91.11360914335384]
  We develop a bandit-based fast BA algorithm to reduce BA latency for millimeter-wave (mmWave) communications. Our algorithm is named Two-Phase Heteroscedastic Track-and-Stop (2PHT&S)
  arXiv  Detail & Related papers  (2022-10-23T05:57:39Z)
• Bayesian Optimization-Based Beam Alignment for MmWave MIMO Communication Systems [1.7467279441152421]
  beam alignment (BA) is a critical issue in millimeter wave communication (mmWave) We present a novel beam alignment scheme on the basis of a machine learning strategy, Bayesian optimization (BO) In this work, we consider the beam alignment issue to be a black box function and then use BO to find the possible optimal beam pair.
  arXiv  Detail & Related papers  (2022-07-28T15:37:49Z)
• Bosonic field digitization for quantum computers [62.997667081978825]
  We address the representation of lattice bosonic fields in a discretized field amplitude basis. We develop methods to predict error scaling and present efficient qubit implementation strategies.
  arXiv  Detail & Related papers  (2021-08-24T15:30:04Z)
• Accurate methods for the analysis of strong-drive effects in parametric gates [94.70553167084388]
  We show how to efficiently extract gate parameters using exact numerics and a perturbative analytical approach. We identify optimal regimes of operation for different types of gates including $i$SWAP, controlled-Z, and CNOT.
  arXiv  Detail & Related papers  (2021-07-06T02:02:54Z)
• Beamforming Learning for mmWave Communication: Theory and Experimental Validation [23.17604790640996]
  We propose a beam design technique that reduces the search time and does not require CSI while guaranteeing a minimum beamforming gain. We evaluate the efficacy of the proposed scheme in terms of building the codebook and assessing its performance through real-life measurements.
  arXiv  Detail & Related papers  (2019-12-28T05:46:39Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.