MIMO adaptive codebook for cross-polarized antenna arrays

Schober, Karol; Enescu, Mihai; Wichman, Risto

doi:10.1109/pimrc.2013.6666307

Cited by 9 publications

(13 citation statements)

References 4 publications

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“…The received power is expected to increase for a smaller value of the deviation angle, due to the antenna gain pattern of the subarray. For a given location of the target UE, deviation angles can be determined for all M subarrays which are then sorted in an ascending order, denoted by symbols Θ (1) , Θ (2) , . .…”

Section: Discussionmentioning

confidence: 99%

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Beamforming for Rotated 3D Multipanel Array Structures for 5G NR MIMO Transmission

Lee

Ryu

Sung

et al. 2019

International Journal of Antennas and Propagation

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5G new radio (NR) provides enhanced transmission capabilities to transceivers by utilizing the massive multiple-input multiple-output (MIMO) technology with a significantly increased number of antenna elements. Such transmission requires massive arrays to perform accurate high-gain beamforming over the millimeter-wave frequency band. There is no fixed form of array structures for 5G NR base stations, but they are likely to include multiple subarrays or panels for practicality of implementation and are expected to cover the user equipment (UE) in various locations. In this paper, we propose an array structure to transmit signals over the three-dimensional (3D) space in an isotropic fashion for all types of UEs in ground, aerial, and high-rise building locations, by employing panels on surfaces of a polyhedron. We further derive exact beamforming equations for the proposed array and show the resulting beams provide improved receiver performance over the exiting conventional beamforming. The presented beamforming expressions can be applied to an arbitrary multipanel array with massive antenna elements.

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Section: Discussionmentioning

confidence: 99%

“…A massive multiple-input multiple-output (MIMO) technology enables signal transmission to multiple users at increased bandwidth efficiency, resulting in higher system capacity [1][2][3][4]. In 5G new radio (NR), the frequency band extends to the millimeter-wave to accommodate increased traffic over a larger bandwidth.…”

Section: Introductionmentioning

confidence: 99%

Beamforming for Rotated 3D Multipanel Array Structures for 5G NR MIMO Transmission

Lee

Ryu

Sung

et al. 2019

International Journal of Antennas and Propagation

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show abstract

“…With such setup, the channel is spatially correlated, and the spatial covariance matrix can be approximated using its eigenvectors with the closely spaced ( /2) array. The linear DFT codebook design targets at the linear closely spaced array, which has two separate parts representing long-term and short-term channel states, respectively [6,9]. The first codeword W 1 in the long-term feedback part consists of multiple beams such that the beams cover the full signal space over the wideband with closely-spaced arrays, hence capturing the correlation properties of the channel.…”

Section: The Traditional Dft Codebookmentioning

confidence: 99%

“…For traditional MIMO systems, several codebooks have been proposed, such as Kerdock codebook [3], codebooks based on vector quantization [4], Grassmannian packing [5], discrete Fourier transform (DFT) [6], and quadrature amplitude modulation [7]. Codebooks based on vector quantization have taken the channel distribution into account but have to be redesigned when the channel distribution changes.…”

Section: Introductionmentioning

confidence: 99%

Limited Feedback Precoding for Massive MIMO

Zeng

et al. 2013

International Journal of Antennas and Propagation

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The large-scale array antenna system with numerous low-power antennas deployed at the base station, also known as massive multiple-input multiple-output (MIMO), can provide a plethora of advantages over the classical array antenna system. Precoding is important to exploit massive MIMO performance, and codebook design is crucial due to the limited feedback channel. In this paper, we propose a new avenue of codebook design based on a Kronecker-type approximation of the array correlation structure for the uniform rectangular antenna array, which is preferable for the antenna deployment of massive MIMO. Although the feedback overhead is quite limited, the codebook design can provide an effective solution to support multiple users in different scenarios. Simulation results demonstrate that our proposed codebook outperforms the previously known codebooks remarkably.

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“…Unfortunately, the codebook size has an impact on the system performance and requires high storage. For traditional MIMO systems, several codebooks have been proposed, such as Kerdock codebook [9], codebooks based on vector quantization [10], Grassmannian packing [11], discrete Fourier transform (DFT) [12] and quadrature amplitude modulation [13]. The coodbook principle is adopted in LTE [14].…”

Section: Introductionmentioning

confidence: 99%