Linear Massive MIMO Precoders in the Presence of Phase Noise—A Large-Scale Analysis

Krishnan, R.; Khanzadi, M. Reza; Kumarappan, N.; Wu, Yongpeng; Amat, Alexandre Graell i; Eriksson, Thomas; Schober, Robert

doi:10.1109/tvt.2015.2440300

Cited by 76 publications

(50 citation statements)

References 35 publications

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“…In this section, we use random matrix theory to analyze the received signal in (23) as M → ∞. Importantly, the ICI and AWGN of the received PM signal after ZF detection are asymptotically analyzed to derive the phase noise cancelation performance.…”

Section: Performance Analysismentioning

confidence: 99%

“…In [15,22], the impact of phase noise on massive MIMO-OFDM uplink system performances has been analyzed for the single-user (SU) and multiuser (MU) cases. The MU massive MIMO-OFDM downlink system with ZF and maximal ratio transmission (MRT) precoding has been compared [23,24]. Recently, some phase noise cancelation schemes have been proposed for massive MIMO uplink systems [25,26] and for downlink systems [27].…”

Section: Introductionmentioning

confidence: 99%

“…Let W D,0 ′ be the additive noise after ZF detection without phase noise θ 0,0 , W D,0 ′ = G 0,0 ′ W D,0 , according to(23). W D,0 ′ is the random variable vector with Gaussian distribution.…”

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confidence: 99%

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Phase Noise Cancelation Based on Polarization Modulation for Massive MIMO-OFDM Systems

Nie

Feng

et al. 2019

International Journal of Antennas and Propagation

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In massive multiple-input multiple-output (MIMO) systems, phase noise introduced by oscillators can cause severe performance loss. It leads to common phase error and intercarrier interference in massive MIMO-OFDM uplink. To solve the issue, a novel phase noise cancelation scheme based on polarization modulation for the massive MIMO-OFDM system is proposed. We first introduce the polarization modulation (PM) exploited in massive MIMO-OFDM uplink. Then, by exploiting the zero-forcing detection, we analyze the asymptotically ICI and the distribution of the transformed noise under different XPD values. Furthermore, we demonstrate that phase noise can be asymptotically canceled and only the transformed additive white Gaussian noise exists as the number of antennas at the base station is very large. Moreover, we derive the instantaneous signal-to-noise ratio (SNR) on each subcarrier and analyze the ergodic capacity. To increase the ergodic capacity performance further, a joint modulation scheme combining the PM and 2PSK is proposed and the ergodic capacity performance of the joint modulation is discussed. The simulation results show that the proposed scheme can effectively mitigate phase noise and achieve a higher ergodic capacity.

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Section: Performance Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Phase Noise Cancelation Based on Polarization Modulation for Massive MIMO-OFDM Systems

Nie

Feng

et al. 2019

International Journal of Antennas and Propagation

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“…It is worthwhile to extend the results to the frequency-selective downlink and to other linear schemes, such as regularized zero forcing (RZF) precoding in the downlink or MMSE reception in the uplink. Towards this research direction, prior work includes [77], where the authors use asymptotic random matrix theory and provide capacity bounds for the case of frequency-flat downlink transmission with ZF precoding.…”

Section: Future Research Directionsmentioning

confidence: 99%

Phase Noise and Wideband Transmission in Massive MIMO

Pitarokoilis¹

2016

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In the last decades the world has experienced a massive growth in the demand for wireless services. The recent popularity of hand-held devices with data exchange capabilities over wireless networks, such as smartphones and tablets, increased the wireless data traffic even further. This trend is not expected to cease in the foreseeable future. In fact, it is expected to accelerate as everyday apparatus unrelated with data communications, such as vehicles or household devices, are foreseen to be equipped with wireless communication capabilities.Further, the next generation wireless networks should be designed such that they have increased spectral and energy efficiency, provide uniformly good service to all of the accommodated users and handle many more devices simultaneously. Massive multiple-input multiple-output (Massive MIMO) systems, also termed as large-scale MIMO, very large MIMO or full-dimension MIMO, have recently been proposed as a candidate technology for next generation wireless networks. In Massive MIMO, base stations (BSs) with a large number of antenna elements serve simultaneously only a few tens of single antenna, non-cooperative users. As the number of BS antennas grow large, the normalized channel vectors to the users become pairwise asymptotically orthogonal and, therefore, simple linear processing techniques are optimal. This is substantially different from the current design of contemporary cellular systems, where BSs are equipped with a few antennas and the optimal processing is complex. Consequently, the need for redesign of the communication protocols is apparent.The deployment of Massive MIMO requires the use of many inexpensive and, potentially, off-the-shelf hardware components. Such components are likely to be of low quality and to introduce distortions to the information signal. Hence, Massive MIMO must be robust against the distortions introduced by the hardware impairments. Among the most important hardware impairments is phase noise, which is introduced by local oscillators (LOs) v at the BS and the user terminals. Phase noise is a phenomenon of particular importance since it acts multiplicatively on the desired signal and rotates it by some random and unknown argument. Further, the promised gains of Massive MIMO can be reaped by coherent combination of estimated channel impulse responses at the BS antennas. Phase noise degrades the quality of the estimated channel impulse responses and impedes the coherent combination of the received waveforms.In this dissertation, wideband transmission schemes and the effect of phase noise on Massive MIMO are studied. First, the use of a low-complexity single-carrier precoding scheme for the broadcast channel is investigated when the number of BS antennas is much larger than the number of served users. A rigorous, closed-form lower bound on the achievable sum-rate is derived and a scaling law on the potential radiated energy savings is stated. Further, the performance of the proposed scheme is compared with a sumcapacity upper bound and ...

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“…Authors in [19] analyzed different HWIs with regards to the aggregate impact it has on the system. The impact of HWIs with regard to the number of local oscillators used at the base station is analyzed in [20] and [21]. HWIs are modeled as oscillator phase noise in systems studied in [22].…”

Section: Introductionmentioning

confidence: 99%

Massive MIMO with Transceiver Hardware Impairments: Performance Analysis and Phase Noise Error Minimization

2019

KSII TIIS

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In this paper, we investigate the impact of hardware impairments (HWIs) on the performance of a downlink massive MIMO system. We consider a single-cell system with maximum ratio transmission (MRT) as precoding scheme, and with all the HWIs characteristics such as phase noise, distortion noise, and amplified thermal noise. Based on the system model, we derive closed-form expressions for a typical user data rate under two scenarios: when a common local oscillator (CLO) is used at the base station and when separated oscillators (SLOs) are used. We also derive closed-form expressions for the downlink transmit power required for some desired per-user data rate under each scenario. Compared to the conventional system with ideal transceiver hardware, our results show that impairments of hardware make a finite upper limit on the user's downlink channel capacity; and as the number of base station antennas grows large, it is only the hardware impairments at the users that mainly limit the capacity. Our results also show that SLOs configuration provides higher data rate than CLO at the price of higher power consumption. An approach to minimize the effect of the hardware impairments on the system performance is also proposed in the paper. In our approach, we show that by reducing the cell size, the effect of accumulated phase noise during channel estimation time is minimized and hence the user capacity is increased, and the downlink transmit power is decreased.

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Linear Massive MIMO Precoders in the Presence of Phase Noise—A Large-Scale Analysis

Cited by 76 publications

References 35 publications

Phase Noise Cancelation Based on Polarization Modulation for Massive MIMO-OFDM Systems

Phase Noise Cancelation Based on Polarization Modulation for Massive MIMO-OFDM Systems

Phase Noise and Wideband Transmission in Massive MIMO

Massive MIMO with Transceiver Hardware Impairments: Performance Analysis and Phase Noise Error Minimization

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