Performance of Transmit Beamforming Codebooks with Separate Amplitude and Phase Quantization

Dowhuszko, Alexis A.; Hämäläinen, Jyri

doi:10.1109/lsp.2014.2370762

Cited by 15 publications

(15 citation statements)

References 12 publications

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“…As CTD and DTD have different l l s, i.e. eigenvalues of the channel covariance matrix C, their BERs by (6) are different as well. In this section, we take a simple example for the case of N t = 2 with QPSK modulation (p = 1/2 and q = 1) to clearly illustrate which one of CTD and DTD and how much one performs better than the other according to MCG ratio of DTD and the antenna correlation of CTD.…”

Section: Comparison Between Ctd and Dtdmentioning

confidence: 99%

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Switching between co‐located and distributed transmit diversity

Amini

Choi

2016

IET Communications

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Section: Comparison Between Ctd and Dtdmentioning

confidence: 99%

“…Transmit diversity (TD) systems in the literature can be classified into two types, i.e. co-located TD (CTD) and distributed TD (DTD) [1][2][3][4][5][6][7][8][9]. In CTD scheme, multiple transmit (TX) antennas for TD are collocated on a single body transmitter.…”

Section: Introductionmentioning

confidence: 99%

Switching between co‐located and distributed transmit diversity

Amini

Choi

2016

IET Communications

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“…On the other hand, the analog beamformer connects the output of the RF blocks with the transmit antennas. Due to its analog nature, the phase shift that the beamformer applies per antenna is the same for the whole wideband RF signal [3]. Different approaches, such as the ones reported in [4], [5], [6], have been proposed to implement the hybrid beamforming scheme.…”

Section: Introductionmentioning

confidence: 99%

Hybrid beamforming algorithm using reinforcement learning for millimeter wave wireless systems

Lizárraga

Maggio

Dowhuszko

2019

2019 XVIII Workshop on Information Processing and Control (RPIC)

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In this paper, a Reinforcement Learning (RL) algorithm is presented to speed up the selection process of spatial beams to maximize the mean data rate of a multiantenna wireless system that implements hybrid beamforming in Millimeter Wave (mmWave) frequency bands. In the proposed hybrid beamforming architecture, the analog beamforming layer is codebook-based, and is implemented using a simple array of phase-shifters that delay the RF signal in the different transmit antennas using a fixed number of discrete steps. In contrast, the digital beamforming layer is much more flexible, and implements a fully adaptive (i.e., non-quantized) digital precoding scheme that enables the simultaneous transmission of few independent baseband data streams in the spatial domain. Obtained simulation results show that the use of RL-based techniques reduces the iterations that are needed to find the most convenient analog beamformers and digital precoders to be used in transmission, without affecting notably the upper bound data rate that is achieved when brute-force search is utilized.

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“…For example, the authors of [6], [7] characterized the sum data rate of JT-CoMP when multiple non-coherent transmission points (no CSI) serve a common user over frequency-selective channels. However, when limited feedback information is available (partial CSI) [8], simple Quantized Co-Phasing (QCP) scheme can be used to transmit information coherently on a per-carrier basis [9], [10] and improve the sum data rate of JT-CoMP even further. Though the combination of JPA and QCP looks natural, it has not been addressed before in the context of multi-carrier JT-CoMP systems.…”

Section: Introductionmentioning

confidence: 99%

Distance-aware coordinated multi-point transmission for terahertz band communication

Dowhuszko

Jiménez

Guman

et al. 2017

2017 IEEE 18th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)

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Terahertz (THz) band communication has abundant spectral resources to accommodate multiple broadband carriers. However, the strong path loss attenuation and the limited transmission power affect the maximum number of carriers that can be activated. A simple way to address this limitation consists in transmitting the same message from multiple transmission points, using Joint-Transmission (JT) Coordinated Multi-Point (CoMP). However, the distance-frequency-dependent molecular absorption that THz channels experience makes the implementation of JT-CoMP challenging. In this paper, we propose a decentralized scheme that takes into account the effect of distance to select the per-carrier transmit beamforming weights and powers. For this purpose, low-rate feedback information is reported from the receiver to the transmission points, such that decisions performed locally take into account the ones made in the coordinated set. Notable sum data rate gains are observed when compared to the baseline schemes, where transmission power is equally divided among carriers or independently allocated using waterfilling. As expected, the accuracy of the reported channel phase information, the number active transmission points, and the distance-dependent frequency selectivity of the THz channel affect the sum data rate that multi-carrier JT-CoMP can provide.Peer ReviewedPostprint (published version

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Performance of Transmit Beamforming Codebooks with Separate Amplitude and Phase Quantization

Cited by 15 publications

References 12 publications

Switching between co‐located and distributed transmit diversity

Switching between co‐located and distributed transmit diversity

Hybrid beamforming algorithm using reinforcement learning for millimeter wave wireless systems

Distance-aware coordinated multi-point transmission for terahertz band communication

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