Phase noise scaling and tracking in OFDM multi-user beamforming arrays

Puglielli, Antonio; LaCaille, Greg; Niknejad, Ali M.; Wright, G. I.; Nikolić, Borivoje; Alon, Elad

doi:10.1109/icc.2016.7511631

Cited by 19 publications

(18 citation statements)

References 24 publications

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“…Similar to Figure 2, as 훽 increases, the joint CPE estimation (5) becomes less accurate, and the difference between the simulated and theoretical MSE increases. It is shown from (22) that the effects of correlation and power imbalance are separable. Thus, we show their effects on the MU-MIMO-OFDM system with two users and four BS antennas in Figures 8 and 9, respectively.…”

Section: Simulationmentioning

confidence: 99%

“…Note that the two-user case is assumed in (22) and (23) in order to illustrate the effects of correlation and power imbalance explicitly, whereas (21) holds for any 퐾 (< 푀).…”

Section: Performance Analysismentioning

confidence: 99%

“…Therefore, PN estimation in the former is more challenging than that in the latter. For example, the CPEs of multiuser PNs must 2 Wireless Communications and Mobile Computing be jointly estimated [20], whereas the CPE of each of the BS PNs can be tracked separately in an easier way [21,22]. It is difficult to compensate the ICI effects of multiple transmit PNs at the receiver.…”

Section: Introductionmentioning

confidence: 99%

“…Unfortunately, MIMO-OFDM systems are sensitive to oscillator phase noises [11][12][13][14][15][16][17][18][19][20][21][22][23], which cause common phase error (CPE) and intercarrier interference (ICI). While the CPE is a common phase rotation for all the subcarriers (of one OFDM symbol), the ICI represents the interferences caused by nonorthogonal subcarriers.…”

Section: Introductionmentioning

confidence: 99%

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Uplink Multiuser MIMO‐OFDM System in the Presence of Phase Noises, Power Imbalance, and Correlation

Chen

Wolfgang

Svensson

2018

Wireless Communications and Mobile Computing

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The effects of phase noises (PNs), power imbalances, and correlations on multiuser orthogonal frequency division multiplexing (OFDM) multiple-input multiple-output (MIMO) systems are studied. It is assumed that each user is equipped with a single antenna, whereas the base station (BS) has multiple antennas and use zero-forcing (ZF) decoder for multiuser detection. Since each user has an independent oscillator, the received uplink (UL) signal at each BS antenna is corrupted by all of these independent PNs. Furthermore, there may be power imbalances and correlations (due to common scatterers) between different users. These impairments are jointly analyzed in this work. A closed-form expression of the mean square error (MSE) performance of the multiuser MIMO-OFDM system is derived. The analytical results are verified by simulations.

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Section: Simulationmentioning

confidence: 99%

“…Note that the two-user case is assumed in (22) and (23) in order to illustrate the effects of correlation and power imbalance explicitly, whereas (21) holds for any 퐾 (< 푀).…”

Section: Performance Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Uplink Multiuser MIMO‐OFDM System in the Presence of Phase Noises, Power Imbalance, and Correlation

Chen

Wolfgang

Svensson

2018

Wireless Communications and Mobile Computing

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“…The PN effects on OFDM or MIMO-OFDM systems have been extensively studied in the literature [10][11][12][13][14][15][16][17][18][19][20][21][22][23][24][25][26]. Most of the works assume free-running oscillators, except for [10][11][12][13], where phase locked loop (PLL) based oscillators were also assumed. Most of the studies assume a common oscillator for all the transmit (receive) antennas, except for [12,[24][25][26], where independent oscillators (i.e., each antenna is equipped with a different oscillator) were also considered.…”

Section: Introductionmentioning

confidence: 99%

Phase Noise Effect on MIMO-OFDM Systems with Common and Independent Oscillators

Chen

Wang

Fan

et al. 2017

Wireless Communications and Mobile Computing

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The effects of oscillator phase noises (PNs) on multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) systems are studied. It is shown that PNs of common oscillators at the transmitter and at the receiver have the same influence on the performance of (single-stream) beamforming MIMO-OFDM systems, yet different influences on spatial multiplexing MIMO-OFDM systems with singular value decomposition (SVD) based precoding/decoding. When each antenna is equipped with an independent oscillator, the PNs at the transmitter and at the receiver have different influences on beamforming MIMO-OFDM systems as well as spatial multiplexing MIMO-OFDM systems. Specifically, the PN effect on the transmitter (receiver) can be alleviated by having more transmit (receive) antennas for the case of independent oscillators. It is found that the independent oscillator case outperforms the common oscillator case in terms of error vector magnitude (EVM).

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Achieving Phase Coherency and Gain Stability in Active Antenna Arrays for Sub-6 GHz FDD and TDD FD-MIMO: Challenges and Solutions

Vaghefi¹,

Palat²,

Marzin³

et al. 2020

IEEE Access

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Full-dimension MIMO (FD-MIMO) using planar active antenna systems (AAS) is considered a critical technology for fifth-generation (5G) cellular systems to improve network capacity. An AAS is typically subject to hardware impairments that negatively impact network capacity. Hence, this paper focuses on impairments that cause phase and magnitude errors between radio frequency (RF) chains and shows why they are particularly difficult to avoid in practical AAS. Although previous investigations show these impairments to degrade performance, they are not useful in deriving measurable impairment margins for practical FD-MIMO deployments. Knowing impairment limits are critical for system designers to make hardware design tradeoffs such as AAS configuration, component selection, implementation complexity, and cost. Moreover, it also helps set conformance limits for critical lab verification. Therefore, the paper first investigates the impact of the impairments and derives their practical limits for FD-MIMO by explicitly considering the cumulative effects of the channel model, inter-cell interference, link adaptation, and channel aging due to feedback delays. It is shown that a lower number of digitized RF chains can be a better choice under lower impairments. Next, the sources of impairments are investigated by using measurements carried out in the lab and the field during live operation in a commercial LTE network. Phase drift from local oscillators (LO) and internal temperature variations are identified as two significant sources. The tradeoffs and shortcomings of some of the existing solutions in massive MIMO literature are discussed. Finally, in order to address the shortcomings, a novel and practical coherent LO distribution architecture and array calibration mechanism are proposed. This solution is shown to be applicable to both TDD and FDD FD-MIMO. Measurement results are provided to prove the high degree of coherency and stability achieved on a unique array architecture called high definition active antenna system (HDAAS). INDEX TERMS Massive MIMO, FD-MIMO, calibration, phase and magnitude error, array coherency. I. INTRODUCTION M ASSIVE multiple-input and multiple-output (MIMO) using large active antenna arrays are viewed as a critical solution to solve capacity demands in Fifth Generation New Radio (5G-NR) cellular networks operating in sub-6 GHz bands. Full-dimension MIMO (FD-MIMO) defined in the 3rd Generation Partnership Project (3GPP) [1] has adopted principles of massive MIMO. It specifies the use of planar rectangular active antenna arrays at the base station (BS) to support simultaneous data transmission to multiple user equipment (UE) terminals (referred to as multiuser MIMO or MU-MIMO) to achieve significant improvement in network capacity. This topic is of active research in academia and industry [2]. A. CHALLENGES IN FIELD OPERATION DUE TO HARDWARE IMPAIRMENTS AND RELATED WORK Antenna installations on tower tops and buildings for a macro-cell network are typically limited in space and weight due to win...

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Phase noise scaling and tracking in OFDM multi-user beamforming arrays

Cited by 19 publications

References 24 publications

Uplink Multiuser MIMO‐OFDM System in the Presence of Phase Noises, Power Imbalance, and Correlation

Uplink Multiuser MIMO‐OFDM System in the Presence of Phase Noises, Power Imbalance, and Correlation

Phase Noise Effect on MIMO-OFDM Systems with Common and Independent Oscillators

Achieving Phase Coherency and Gain Stability in Active Antenna Arrays for Sub-6 GHz FDD and TDD FD-MIMO: Challenges and Solutions

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