Wideband communication with high-dimensional arrays: New results and transceiver architectures

Brady, John; Sayeed, A.M.

doi:10.1109/iccw.2015.7247314

Cited by 77 publications

(78 citation statements)

References 15 publications

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“…Furthermore, we impose a total power constraint F RF F g BB [n] F = 1 [26]. Considering the angular sparsity of the mmWave channels, one usually needs less beams than antenna elements, i.e., M ≤ N BS [27], [28]. It should be noticed that our work does not assume any specific choice of the beamformers F g [n], hence the derived expressions will be completely general.…”

Section: A Transmitter Modelmentioning

confidence: 99%

Millimeter-Wave Downlink Positioning With a Single-Antenna Receiver

Fascista

Coluccia

Wymeersch

et al. 2019

IEEE Trans. Wireless Commun.

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The paper addresses the problem of determining the unknown position of a mobile station for a mmWave MISO system. This setup is motivated by the fact that massive arrays will be initially implemented only on 5G base stations, likely leaving mobile stations with one antenna. The maximum likelihood solution to this problem is devised based on the time of flight and angle of departure of received downlink signals. While positioning in the uplink would rely on angle of arrival, it presents scalability limitations that are avoided in the downlink. To circumvent the multidimensional optimization of the optimal joint estimator, we propose two novel approaches amenable to practical implementation thanks to their reduced complexity. A thorough analysis, which includes the derivation of relevant Cramér-Rao lower bounds, shows that it is possible to achieve quasi-optimal performance even in presence of few transmissions, low SNRs, and multipath propagation effects. Index TermsmmWave, positioning, massive MIMO, MISO, 5G cellular networks, angle of departure (AOD), beamforming

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Section: A Transmitter Modelmentioning

confidence: 99%

Millimeter-Wave Downlink Positioning With a Single-Antenna Receiver

Fascista

Coluccia

Wymeersch

et al. 2019

IEEE Trans. Wireless Commun.

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“…For sufficiently long symbols (T OFDM ) the path loss coefficient is equivalent at each subcarrier [3], [14]. Thus, it is assumed that h n (k) ≈ h n for all k. This assumption is discussed in further detail in Section V-A.…”

Section: A Mimo Ofdm Channel Modelmentioning

confidence: 99%

Multilinear Singular Value Decomposition for Millimeter Wave Channel Parameter Estimation

Ruble

Güvenç

2020

IEEE Access

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Fifth generation (5G) cellular standards are set to utilize millimeter wave (mmWave) frequencies, which enable data speeds greater than 10 Gbps and sub-centimeter localization accuracy. These capabilities rely on accurate estimates of the channel parameters, which we define as the angle of arrival, angle of departure, and path distance for each path between the transmitter and receiver. Estimating the channel parameters in a computationally efficient manner poses a challenge because it requires estimation of parameters from a high-dimensional measurement -particularly for multi-carrier systems since each subcarrier must be estimated separately. Additionally, channel parameter estimation must be able to handle hybrid beamforming, which uses a combination of digital and analog beamforming to reduce the number of required analog to digital converters. This paper introduces a channel parameter estimation technique based on the multilinear singular value decomposition (MSVD), a tensor analog of the singular value decomposition, for massive multiple input multiple output (MIMO) multi-carrier systems with hybrid beamforming. The MSVD tensor estimation approach provides a computationally efficient method and is shown to closely match the Cramer-Rao bound (CRB) of parameter estimates through simulations. Limitations of channel parameter estimation and communication waveform effects are also studied.

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“…The broadband array frequency response in the T -DFT domain assuming all the frequencies propagate with the same speed is [13] a(m, ϕ)…”

Section: System Model and Problem Formulationmentioning

confidence: 99%

“…where ρ(w, d) is defined in (13) and a T j is the j-th row of the matrix βB for fixed β. The input step messages are then…”

Section: Appendixmentioning

confidence: 99%

MIMO Beampattern and Waveform Design with Low Resolution DACs

Mezghani

Heath

2019

2019 IEEE Radar Conference (RadarConf)

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Digital beamforming and waveform generation techniques in MIMO radar offer enormous advantages in terms of flexibility and performance compared to conventional radar systems based on analog implementations. To allow for such fully digital design with an efficient hardware complexity, we consider the use of low resolution digital-to-analog converters (DACs) while maintaining a separate radio-frequency chain per antenna. A sum of squared residuals (SSR) formulation for the beampattern and spectral shaping problem is solved based on the Generalized Approximate Message Passing (GAMP) algorithm. Numerical results demonstrate good performance in terms of spectral shaping as well as cross-correlation properties of the different probing waveforms even with just 2-bit resolution per antenna.

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Wideband communication with high-dimensional arrays: New results and transceiver architectures

Cited by 77 publications

References 15 publications

Millimeter-Wave Downlink Positioning With a Single-Antenna Receiver

Millimeter-Wave Downlink Positioning With a Single-Antenna Receiver

Multilinear Singular Value Decomposition for Millimeter Wave Channel Parameter Estimation

MIMO Beampattern and Waveform Design with Low Resolution DACs

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