Phase noise analysis for mmwave massive MIMO: a design framework for scaling via tiled architectures

Rasekh, Maryam Eslami; Abdelghany, Mohammed; Madhowz, Upamanyu; Rodwell, M.J.W.

doi:10.1109/ciss.2019.8693033

Cited by 16 publications

(12 citation statements)

References 5 publications

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“…The current work is a significant extension of preliminary results reported in our conference paper [30], including a more detailed theoretical treatment of phase noise scaling, introduction of BER approximations via effective SNR and SINR, derivation of LMMSE reception accounting for phase noise statistics, and validation of our analytical estimates via full system simulations.…”

Section: B Related Workmentioning

confidence: 86%

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Phase noise in modular millimeter wave massive MIMO

Rasekh¹,

Abdelghany²,

Madhow³

et al. 2019

Preprint

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This paper investigates the effect of oscillator phase noise on a multiuser millimeter wave (mmWave) massive MIMO uplink as we scale up the number of base station antennas, fixing the load factor, defined as the ratio of the number of simultaneous users to the number of base station antennas. We consider a modular approach in which the base station employs an array of subarrays, or "tiles." Each tile supports a fixed number of antennas, and can therefore be implemented using a separate radio frequency integrated circuit (RFIC), with synchronization across tiles accomplished by employing a phased locked loop in each tile to synthesize an on-chip oscillator at the carrier frequency by locking on to a common lower frequency reference clock. Assuming linear minimum mean squared error (LMMSE) multiuser detection, we provide an analytical framework that can be used to specify the required power spectral density (PSD) mask for phase noise for a target system performance. Our analysis for the phase noise at the output of the LMMSE receiver indicates two distinct effects: self-noise for each user which is inversely proportional to the number of tiles, and cross-talk between users which is insensitive to the number of tiles, and is proportional to the load factor. These analytical predictions, verified by simulations for a 140 GHz system targeting a per-user data rate of 10 Gbps, show that tiling is a robust approach for scaling. Numerical results for our proposed design approach yield relatively relaxed specifications for phase noise PSD masks.

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Section: B Related Workmentioning

confidence: 86%

“…While the scaling laws in Theorem 2 apply to arbitrary constellations (e.g., see numerical results for 16QAM in our preliminary results [30]), the BER estimates based on Theorem 1 are specialized to Gray coded QPSK. Extension of such estimates for larger constellations is an interesting topic for future work.…”

Section: Discussionmentioning

confidence: 99%

Phase noise in modular millimeter wave massive MIMO

Rasekh¹,

Abdelghany²,

Madhow³

et al. 2019

Preprint

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“…Through link-level simulation, the efficiency of the suggested analysis and SNR estimate algorithm is confirmed. Rasekh et al [5] provided a technique to assess the effect of phase noise, which is frequently regarded as a substantial bottleneck at high carrier frequencies and broad bandwidths, on MIMO performance. P. Rabiei et al [13] demonstrated that using the same oscillator for up conversion and down conversion results in significantly reduced residual selfinterference levels and that phase noise has a significant impact on self-interference cancellation in both of the scenarios taken into consideration.…”

Section: Related Workmentioning

confidence: 99%

Performance Investigation of Phase noise compensation in millimeter wave MIMO-OFDMA Systems

Udayakumar¹,

Krishnaveni

2022

Preprint

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5G cellular networks are of high user demand in mobile data services. A millimeter wave technology is considered a potential one for 5G mobile networks, as it allocates more bandwidth. The next generation of wireless networks i.e Millimeter wave offers multi-gigabit data rates for many mobile users with higher attenuations. The major drawback in high-frequency communication systems (mmWaves) is Phase noise. These Phase noises are due to non-linearity conditions of local oscillators, which introduce Common phase error (CPE) & Inter-carrier interference (ICI). To overcome the phase noise effect in mmWave systems, the Multiple-Input & Multiple-Output (MIMO) beamforming is used for higher order data transmissions. In the situation of the common oscillator, the phase noise at MIMO-OFDM has the same influence on the transmitter and receiver sides in terms of Error vector magnitude. But in the independent oscillator case, it has different levels of influence. The measurement of channel metrics such as Average Power Delay Profile, Power Elevation Profile, and Power Azimuth Profile are employed to reduce the Phase noise in millimeter MIMO-OFDMA systems. A Unitary Space Alternating Generalized Expectation-maximization (U-SAGE) algorithm is proposed for channel measurements based on Phase noise reduction in millimeter waves. This paper discusses the reduction of Phase noise greatly in independent oscillator cases using U-SAGE Algorithm.

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“…We have also shown how an adaptive implementation of this approach can be extended to provide implicit channel estimation. It is worth mentioning complementary research [9], [10] that indicates that analog frontend issues such as RF/baseband nonlinearities, analog-to-digital conversion and phase noise, are not fundamental bottlenecks for alldigital architectures. Taken together with the promising results in this paper, this motivates a concerted effort in designing scalable digital backends for mmWave massive MIMO.…”

Section: Viconclusionmentioning

confidence: 99%

Beamspace Local LMMSE: An Efficient Digital Backend for mmWave Massive MIMO

Abdelghany

Madhow

Tölli

2019

2019 IEEE 20th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)

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We explore an all-digital architecture for a mmWave massive MIMO cellular uplink in which the number of users scales with the number of antenna elements at the base station. We consider the design of multiuser detection strategies after a spatial FFT, which concentrates the energy of each user onto a few FFT bins in "beamspace." In this paper, we propose and investigate a local LMMSE receiver that exploits this property, using a small window in beamspace to demodulate each user. The proposed architecture is computationally efficient: the required window size depends on load factor (the number of users divided by the number of antenna elements) and does not scale with the number of elements. We also show that adaptive implementations of such local LMMSE receivers naturally extend to provide implicit channel estimation.

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Phase noise analysis for mmwave massive MIMO: a design framework for scaling via tiled architectures

Cited by 16 publications

References 5 publications

Phase noise in modular millimeter wave massive MIMO

Phase noise in modular millimeter wave massive MIMO

Performance Investigation of Phase noise compensation in millimeter wave MIMO-OFDMA Systems

Beamspace Local LMMSE: An Efficient Digital Backend for mmWave Massive MIMO

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