Polar Quantizer for Wireless Receivers: Theory, Analysis, and CMOS Implementation

Nazari, Peyman; Chun, Byung-Kwan; Tzeng, F.; Heydari, Payam

doi:10.1109/tcsi.2013.2284172

Cited by 21 publications

(12 citation statements)

References 29 publications

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“…Specifically, we consider a wideband downlink multi-user massive MIMO-OFDM system and focus on the case of utilizing a few amplitude bits and a moderate number of phase bits in the polar transmitter. In modern CMOS technologies, the maximum achievable amplitude resolution is decreased with continuous scaling of low supply voltage and device feature size, whereas the phase resolution is increased by the faster transition times and higher maximum oscillation frequency of nanoscale CMOS [10], [11]. Therefore, we argue that a higher number of phase bits is a feasible assumption.…”

Section: Introductionmentioning

confidence: 89%

“…In addition, the polar architecture has a power efficiency gain of up to 3 dB compared to the Cartesian, due to the omission of I/Q signal summation [9]. Moreover, a comprehensive analytical study followed by a CMOS implementation of a polar quantizer chip prototype demonstrated the superiority of signal-to-quantization-noise ratio improvement compared to rectangular (I/Q) quantizer [10]. It also showed that the maximum quantization error of large-amplitude input signals is dominated by the phase resolution.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Quantized Polar Transmitters for Power Efficient Massive MIMO Systems

Lampu

Kosunen

et al. 2021

IEEE Wireless Commun. Lett.

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Section: Introductionmentioning

confidence: 89%

Section: Introductionmentioning

confidence: 99%

Quantized Polar Transmitters for Power Efficient Massive MIMO Systems

Lampu

Kosunen

et al. 2021

IEEE Wireless Commun. Lett.

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“…Analytical and measurement results of wireless receivers equipped with polar quantizers have been provided in [23] showing that polar quantization offers a significant boost in signal-to-quantization noise ratio (SQNR) as compared to I/Q quantization under Gaussian signaling. Effectively, this means that polar quantizers would need fewer number of bits (NoBs) to recover the signal as compared to I/Q quantizers.…”

Section: Arxiv:220505850v1 [Csit] 12 May 2022mentioning

confidence: 99%

On the Capacity-Achieving Input of Channels With Phase Quantization

Bernardo

Zhu

Evans

2022

IEEE Trans. Inform. Theory

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The polar receiver architecture is a receiver design that captures the envelope and phase information of the signal rather than its in-phase and quadrature components. Several studies have demonstrated the robustness of polar receivers to phase noise and other nonlinearities. Yet, the information-theoretic limits of polar receivers with finite-precision quantizers have not been investigated in the literature. The main contribution of this work is to identify the optimal signaling strategy for the additive white Gaussian noise (AWGN) channel with polar quantization at the output. More precisely, we show that the capacity-achieving modulation scheme has an amplitude phase shift keying (APSK) structure. Using this result, the capacity of the AWGN channel with polar quantization at the output is established by numerically optimizing the probability mass function of the amplitude. The capacity of the polar-quantized AWGN channel with b 1 -bit phase quantizer and optimized single-bit magnitude quantizer is also presented. Our numerical findings suggest the existence of signal-to-noise ratio (SNR) thresholds, above which the number of amplitude levels of the optimal APSK scheme and their respective probabilities change abruptly. Moreover, the manner in which the capacity-achieving input evolves with increasing SNR depends on the number of phase quantization bits.

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“…Second, phase quantizers can be implemented using one-bit ADCs that consist of simple comparators, and they consume negligible power (in the order of milliwatts). As given in [41], the implementation based on time-to-digital converters (TDCs) can also be adopted to further reduce the area and power consumption of the phase quantizer. On the other hand, phase modulation has an important and practical layering feature enabling the quantizer and detector design separation in low-resolution ADC based communications.…”

Section: B Receiver Architecturementioning

confidence: 99%

Reliability Characterization for SIMO Communication Systems With Low-Resolution Phase Quantization Under Rayleigh Fading

Gayan

Senanayake

İnaltekin

et al. 2021

IEEE Open J. Commun. Soc.

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This paper investigates the communication reliability for single-input-multiple-output wireless systems with low-resolution phase quantizers. First, the maximum-likelihood detector with n-bit phase quantization is derived when there are N antennas at the receiver. Then, three low-complexity antenna selection strategies for data detection are proposed and their symbol error probability performance is characterized. It is shown that having 3 or more bits is sufficient to attain the full diversity order N , achievable with infinite-bit quantizers, for quadrature phase shift keying modulation under Rayleigh fading. In particular, it is established that the proposed low-complexity max-distance and max-norm antenna selection strategies perform the same as the maximum-likelihood detector in terms of the asymptotic system reliability for n ≥ 3. On the other hand, the diversity order decreases dramatically from N to N 2 when n is equal to 2, as illustrated by our numerical results and proven for the case of N = 2. An extensive numerical and simulation study is performed to illustrate the accuracy of the derived results and asymptotic system reliability performance as well as verifying our hypotheses in the high signal-to-noise ratio regime.

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Polar Quantizer for Wireless Receivers: Theory, Analysis, and CMOS Implementation

Cited by 21 publications

References 29 publications

Quantized Polar Transmitters for Power Efficient Massive MIMO Systems

Quantized Polar Transmitters for Power Efficient Massive MIMO Systems

On the Capacity-Achieving Input of Channels With Phase Quantization

Reliability Characterization for SIMO Communication Systems With Low-Resolution Phase Quantization Under Rayleigh Fading

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