Pilot design for large-scale multi-cell multiuser MIMO systems

Hu, Anzhong; Lv, Tiejun; Gao, Hui; Lu, Yueming; Liu, Enjie

doi:10.1109/icc.2013.6655444

Cited by 34 publications

(25 citation statements)

References 9 publications

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“…Under the condition that there are K orthogonal pilots, which are reused in every cell [16], the channel estimation at the BS of the q-th cell is formulated as…”

Section: Multi-cell Senariomentioning

confidence: 99%

Two-Dimensional Precoding for 3-D Massive MIMO

Hanzo

Chen

et al. 2017

IEEE Trans. Veh. Technol.

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Abstract-A two-dimensional (2D) precoding scheme is proposed for three-dimensional massive multiple-input multipleoutput (3D MIMO) systems to efficiently exploit the 2D antenna array of the base station. Specifically, by exploiting the Kronecker structure of the 3D MIMO channel matrix, the transmit precoding operation is divided into elevation precoding and azimuth precoding. Explicitly, in contrast to the existing beamforming schemes, precoding is also performed in the vertical dimension. Consequently, the proposed scheme can fully exploit the extra degrees of freedom provided by the vertical dimension for avoiding the inter-user interference so as to improve the attainable system performance. Compared to the conventional scheme relying on the equivalent one-dimensional precoding, the proposed 2D precoding scheme offers an improved performance in severe inter-cell interference-contaminated environments, despite its lower complexity.Index Terms-3D massive MIMO, Kronecker structure, interuser interference, precoding, 2D precoding I. INTRODUCTION Massive multiple-input multiple-output (MMIMO) arrangements have attracted considerable attention as a benefit of their potential of significantly increasing the spectral efficiency and/or the energy efficiency by relying on low-complexity linear signal processing schemes [1]- [4]. However, most studies focus on the classic uniformly-spaced linear array (ULA), which is not suitable for practical MMIMO systems relying on a large antenna array. Three-dimensional massive MIMOs (3D MMIMO) [5], [6], also often referred to as fulldimensional MIMOs are capable of overcoming this dimensionality problem of the base station (BS), since the array size can be reduced when the elevation domain represented by the vertical dimension is also exploited. This way 3D MMIMOs create extra degrees of freedom for avoiding the inter-cell interference, while achieving an improved spectral efficiency. However, given the same total number of antenna elements at the BS, two-dimensional (2D) uniformly-spaced rectangular arrays (URA) perform worse than the ULA due to their low resolution in the elevation domain [5], and thus either vertical beamforming or transmit precoding (TPC) has to be invoked for improving the performance of 3D MIMO systems [7]-[9].

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“…Under the condition that there are K orthogonal pilots, which are reused in every cell [16], the channel estimation at the BS of the q-th cell is formulated as…”

Section: Multi-cell Senariomentioning

confidence: 99%

Two-Dimensional Precoding for 3-D Massive MIMO

Hanzo

Chen

et al. 2017

IEEE Trans. Veh. Technol.

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“…For example, in [5], a pilot design method for massive MIMO is proposed. By maximizing the signal-tointerference ratio (SIR), a design criterion is introduced.…”

Section: Introductionmentioning

confidence: 99%

Location-based channel estimation and pilot assignment for massive MIMO systems

Hanzo

Chen

Dai

et al. 2015

2015 IEEE International Conference on Communication Workshop (ICCW)

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Abstract-In this paper, a location-based channel estimation algorithm is proposed for massive multi-input multi-output (MI-MO) systems. By utilizing the property of the steering vector, a fast Fourier transform (FFT)-based post-processing is introduced after the conventional pilot-aided channel estimation. Under the condition that different users with the same pilot sequence have non-overlapping angle-of-arrivals (AOAs), the proposed channel estimation algorithm is capable of distinguishing these users effectively. To cooperate with the location-based channel estimation, a pilot assignment algorithm is also proposed to ensure that the users in different cells using the same pilot sequence have different AOAs at base station. The simulation results demonstrate that the proposed scheme can reduce the inter-cell interference caused by the reuse of the pilot sequence and thus improves the overall system performance significantly.

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“…In the multi-cell scenario, upon employing linear channel estimation with moderate complexity, pilot contamination becomes a major obstacle to improve the BE, which is due to the limited number of available pilots. Hence, diverse counter-measures have been conceived for mitigating pilot contamination [71]- [79], such as specially conceived pilot design [71], power allocation [75] and pilot-decontamination precoding [78]. Finally, the performance of practical LS-MIMO systems is affected by numerous non-ideal factors [78]- [83], including imperfect CSI [78], [80] and non-ideal hardware [81]- [83].…”

Section: Summary Of Physical Layer Issuesmentioning

confidence: 99%

“…Rayleigh channel, a specific pilot design criterion, aiming to minimize the inner product of the pilots for different cells is proposed in [71] for mitigating pilot contamination. Based on this criterion, Chu-sequence-based pilots are designed, which makes the pilots for the UEs in the same cell orthogonal, and reuses the same pilots in the neighboring cells after suboptimal phase shifts.…”

Section: B Performance Of Precoders/detectors In Multi-cell Environmmentioning

confidence: 99%

Survey of Large-Scale MIMO Systems

Zheng

Zhao

Mei

et al. 2015

IEEE Commun. Surv. Tutorials

286

172

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Abstract-The escalating teletraffic growth imposed by the proliferation of smartphones and tablet computers outstrips the capacity increase of wireless communications networks. Furthermore, it results in substantially increased carbon dioxide emissions. As a powerful countermeasure, in the case of full-rank channel matrices, MIMO techniques are potentially capable of linearly increasing the capacity or decreasing the transmit power upon commensurately increasing the number of antennas. Hence, the recent concept of large-scale MIMO (LS-MIMO) systems has attracted substantial research attention and been regarded as a promising technique for next-generation wireless communications networks. Therefore, this paper surveys the state of the art of LS-MIMO systems. First, we discuss the measurement and modeling of LS-MIMO channels. Then, some typical application scenarios are classified and analyzed. Key techniques of both the physical and network layers are also detailed. Finally, we conclude with a range of challenges and future research topics.Index Terms-Large-scale MIMO, 3-D MIMO, channel modeling, physical layer, networking.

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Pilot design for large-scale multi-cell multiuser MIMO systems

Cited by 34 publications

References 9 publications

Two-Dimensional Precoding for 3-D Massive MIMO

Two-Dimensional Precoding for 3-D Massive MIMO

Location-based channel estimation and pilot assignment for massive MIMO systems

Survey of Large-Scale MIMO Systems

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