Mutual Coupling Calibration for Multiuser Massive MIMO Systems

Wei, Hao; Wang, Dongming; Zhu, Huiling; Wang, Jiangzhou; Sun, Shaojun; You, Xiaohu

doi:10.1109/twc.2015.2476467

Cited by 140 publications

(106 citation statements)

References 30 publications

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“…The channels in the current cell (C jj ) is estimated by (8), while the channels between cells (C qj ) can be obtained directly via the similar process, just by using different signal from other cells (T q ). With respect to the H-inf CE, the optimization problem of H-inf, to a great extent, depends on the thresholds.…”

Section: The Scheme Of H-inf Channel Estimatormentioning

confidence: 99%

“…Note thatĤ jj is a K × M estimated channel matrix of nth subcarrier between the K users in the jth cell and the jth BS, which is obtained by applying (8). The similar process forĤ qj is straightforward.…”

Section: The Scheme Of H-inf Precodingmentioning

confidence: 99%

“…In order to achieve more gains as well as to simplify the required signal processing, massive MIMO has been proposed in [4][5][6][7][8] As a highly spectrally efficient technology, massive MIMO is indispensable for future wireless communication system or architecture [9][10][11]. With perfect channel state information (CSI) and zero inter-cell interference, massive MIMO provides multiple advantages compared to traditional MIMO.…”

Section: Introductionmentioning

confidence: 99%

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On the use of H-inf criterion in channel estimation and precoding in massive MIMO systems

Wang

Feng³

2016

Sci. China Inf. Sci.

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In this paper, a channel estimation (CE) and precoding scheme by using H-infinity (H-inf) criterion for mitigation of pilot contamination (PC) in massive multiple input multiple output (MIMO) orthogonal frequency division multiplexing (OFDM) systems is investigated. Firstly, different thresholds in H-inf CE and precoding are considered. Secondly, asymptotic analysis is presented to simplify the H-inf precoding, which shows that the complexity of an order of magnitude is reduced. Thirdly, approximate downlink achievable data rates per user are studied for different CE and precoding schemes, such as H-inf and minimum mean square error (MMSE) CE, MMSE, zero-forcing (ZF) and H-inf precoding. The analysis shows that the proposed scheme can provide dual mitigation to the PC. That is, the H-inf CE mitigates the PC by adjusting its thresholds, and the H-inf precoding is utilized to suppress the PC by considering inter-cell interference. The numerical results show that joint use of H-inf CE and H-inf precoding outperforms existing schemes in terms of mitigation to the PC.

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Section: The Scheme Of H-inf Channel Estimatormentioning

confidence: 99%

Section: The Scheme Of H-inf Precodingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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On the use of H-inf criterion in channel estimation and precoding in massive MIMO systems

Wang

Feng³

2016

Sci. China Inf. Sci.

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“…Therefore, C The impact of the RF mismatches on the massive MIMO systems was analyzed in [60]- [62]. Considering the RF mismatches, the lower bound of the ergodic sum-rate for multi-user massive MIMO can be given by [62] …”

Section: Reciprocity Calibration For Tdd Systemsmentioning

confidence: 99%

An overview of transmission theory and techniques of large-scale antenna systems for 5G wireless communications

WANG¹,

YOU²,

Yu³

et al. 2015

Sci. Sin.-Inf.

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To meet the future demand for huge traffic volume of wireless data service, the research on the fifth generation (5G) mobile communication systems has been undertaken in recent years. It is expected that the spectral and energy efficiencies in 5G mobile communication systems should be ten-fold higher than the ones in the fourth generation (4G) mobile communication systems. Therefore, it is important to further exploit the potential of spatial multiplexing of multiple antennas. In the last twenty years, multiple-input multiple-output (MIMO) antenna techniques have been considered as the key techniques to increase the capacity of wireless communication systems. When a large-scale antenna array (which is also called massive MIMO) is equipped in a base-station, or a large number of distributed antennas (which is also called large-scale distributed MIMO) are deployed, the spectral and energy efficiencies can be further improved by using spatial domain multiple access. This paper provides an overview of massive MIMO and large-scale distributed MIMO systems, including spectral efficiency analysis, channel state information (CSI) acquisition, wireless transmission technology, and resource allocation. Index TermsThe fifth generation mobile communication, massive MIMO, large-scale distributed antenna systems, spectral efficiency, channel state information acquisition, multi-user MIMO, resource allocation.

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“…Since the transmitting signals also experience the RF circuits, the RF mismatches will jeopardize the reciprocity of the entire channel and can lead to a severe loss in system performance [6] . Therefore, it is very important to perform a reciprocity calibration.…”

Section: Introductionmentioning

confidence: 99%

Cooperative TDD reciprocity calibration with diversity combining for distributed large-scale MIMO systems

Wei

Wang

Hua

et al. 2017

J. Commun. Inf. Netw.

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Thanks to channel reciprocity, the time-division duplexing operation is typically used for distributed large-scale multiple-input multiple-output systems. With the knowledge of uplink channel state, APs (Access Points) perform the downlink precoding to cooperatively communicate with multiple UEs (User Equipments). Unfortunately, the channel reciprocity is often jeopardized by the non-symmetric transceiver RF (Radio Frequency) circuits at both sides of the link. By excluding UEs from the calibration procedure, the TLS (Total Least Squares) method is extended to the case of partial calibration, where only the APs are involved to exchange calibration signals to compensate for RF mismatches. Nevertheless, channel fluctuations between APs significantly degrade system performance. Therefore, we propose a scheme to obtain the diversity gain, by performing a calibration with the combination of the calibration signals of different channel coherent times. Simulation results confirm the effective performance and robustness of our scheme.

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Mutual Coupling Calibration for Multiuser Massive MIMO Systems

Cited by 140 publications

References 30 publications

On the use of H-inf criterion in channel estimation and precoding in massive MIMO systems

On the use of H-inf criterion in channel estimation and precoding in massive MIMO systems

An overview of transmission theory and techniques of large-scale antenna systems for 5G wireless communications

Cooperative TDD reciprocity calibration with diversity combining for distributed large-scale MIMO systems

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