A Tone-Based AoA Estimation and Multiuser Precoding for Millimeter Wave Massive MIMO

Zhao, Lou; Geraci, Giovanni; Yang, Tao; Ng, Derrick Wing Kwan; Yuan, Jinhong

doi:10.1109/tcomm.2017.2742510

Cited by 50 publications

(35 citation statements)

References 49 publications

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“…For strongest AoAs estimation at the desired BS in a multi-cell scenario, the received power of the reused pilot symbols transmitted from the users in neighboring cells is smaller than that of the desired pilot symbols transmitted from the users in the desired cell. In addition, strongest AoAs estimation may not rely on pilot symbols[23] 9. The simulation result of the strongest AoAs estimation is omitted here due to the space limitation.…”

mentioning

confidence: 99%

Multi-Cell Hybrid Millimeter Wave Systems: Pilot Contamination and Interference Mitigation

Zhao

Wei

et al. 2018

IEEE Trans. Commun.

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In this paper, we investigate the system performance of a multi-cell multi-user (MU) hybrid millimeter wave (mmWave) communications in a multiple-input multiple-output (MIMO) network. Due to the reuse of pilot symbols among different cells, the performance of channel estimation is expected to be degraded by pilot contamination, which is considered as a fundamental performance bottleneck of conventional multicell MU massive MIMO networks. To analyze the impact of pilot contamination to the system performance, we first derive the closed-form approximation of the normalized mean squared error (MSE) of the channel estimation algorithm proposed in [2] over Rician fading channels. Our analytical and simulation results show that the channel estimation error incurred by the impact of pilot contamination and noise vanishes asymptotically with an increasing number of antennas equipped at each radio frequency (RF) chain at the desired BS. Furthermore, by adopting zero-forcing (ZF) precoding in each cell for downlink transmission, we derive a tight closed-form approximation of the average achievable rate per user. Our results unveil that the intra-cell interference and inter-cell interference caused by pilot contamination over Rician fading channels can be mitigated effectively by simply increasing the number of antennas equipped at the desired BS.

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confidence: 99%

Multi-Cell Hybrid Millimeter Wave Systems: Pilot Contamination and Interference Mitigation

Zhao

Wei

et al. 2018

IEEE Trans. Commun.

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“…Each computation of the sum-rate can be performed only after both the analog precoder and digital precoder are determined, which leads to intractable computational complexity to solve (7). According to the existing literature [10], [11], [18], [20], [21], a typical method to decouple the design of the analog precoder and digital precoder is first determining F RF and {w k } K k=1 while fixing F BB , and then determining F BB based on zero-forcing (ZF) or minimum mean-squared error (MMSE) criterion. When determining F RF and {w k } K k=1 , the optimization problem can be written as…”

Section: Problem Formulation As Shown Inmentioning

confidence: 99%

“…adopted for mmWave massive MIMO communications [8]- [11]. Analog precoding, also known as analog beamforming, can produce directional transmission under the constraints of constant amplitude (CA) and limited resolution from phase shifters [12]- [15].…”

Section: Introductionmentioning

confidence: 99%

Beam Training and Allocation for Multiuser Millimeter Wave Massive MIMO Systems

Sun

2019

IEEE Trans. Wireless Commun.

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We investigate beam training and allocation for multiuser millimeter wave massive MIMO systems. An orthogonal pilot based beam training scheme is first developed to reduce the number of training times, where all users can simultaneously perform the beam training with the base station (BS). As the number of users increases, the same beam from the BS may point to different users, leading to beam conflict and multiuser interference. Therefore, a quality-of-service (QoS) constrained (QC) beam allocation scheme is proposed to maximize the equivalent channel gain of the QoS-satisfied users, under the premise that the number of the QoS-satisfied users without beam conflict is maximized. To reduce the overhead of beam training, two partial beam training schemes, an interlaced scanning (IS) and a selection probability (SP) based schemes, are proposed. The overhead of beam training for the IS-based scheme can be reduced by nearly half while the overhead for the SP-based scheme is flexible. Simulation results show that the QC-based beam allocation scheme can effectively mitigate the interference caused by the beam conflict and significantly improve the spectral efficiency while the IS-based and SP-based schemes significantly reduce the overhead of beam training at the cost of sacrificing spectral efficiency a little.

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“…The received signal of the k-th RF chain at the desired BS in the uplink is given by 4 For strongest AoAs estimation at the desired BS in a multi-cell scenario, the received power of the reused pilot symbols transmitted from the users in neighboring cells is smaller than that of the desired pilot symbols transmitted from the users in the desired cell. In addition, the strongest AoAs estimation may not rely on pilot symbols [11].…”

Section: A Channel Estimation and Pilot Contamination Analysismentioning

confidence: 99%

Mitigating Pilot Contamination in Multi-Cell Hybrid Millimeter Wave Systems

Zhao

Wei

et al. 2018

2018 IEEE International Conference on Communications (ICC)

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In this paper, we investigate the system performance of a multi-cell multi-user (MU) hybrid millimeter wave (mmWave) multiple-input multiple-output (MIMO) network adopting the channel estimation algorithm proposed in [1] for channel estimation. Due to the reuse of orthogonal pilot symbols among different cells, the channel estimation is expected to be affected by pilot contamination, which is considered as a fundamental performance bottleneck of conventional multicell MU massive MIMO networks. To analyze the impact of pilot contamination on the system performance, we derive the closed-form approximation expression of the normalized mean squared error (MSE) of the channel estimation performance. Our analytical and simulation results show that the channel estimation error incurred by the impact of pilot contamination and noise vanishes asymptotically with an increasing number of antennas equipped at each radio frequency (RF) chain deployed at the desired BS. Thus, pilot contamination is no longer the fundamental problem for multi-cell hybrid mmWave systems.

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A Tone-Based AoA Estimation and Multiuser Precoding for Millimeter Wave Massive MIMO

Cited by 50 publications

References 49 publications

Multi-Cell Hybrid Millimeter Wave Systems: Pilot Contamination and Interference Mitigation

Multi-Cell Hybrid Millimeter Wave Systems: Pilot Contamination and Interference Mitigation

Beam Training and Allocation for Multiuser Millimeter Wave Massive MIMO Systems

Mitigating Pilot Contamination in Multi-Cell Hybrid Millimeter Wave Systems

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