Quantized Polar Transmitters for Power Efficient Massive MIMO Systems

Xu, Guixian; Lampu, Vesa; Kosunen, Marko; Stadius, Kari; Ryynänen, Jussi; Valkama, Mikko; Anttila, Lauri

doi:10.1109/lwc.2020.3046952

Cited by 1 publication

(4 citation statements)

References 14 publications

(22 reference statements)

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“…However, the analysis methods in [18] are only valid for the case of negligible overload distortion, whereas we take the overload distortion into account explicitly in this study. Compared to our earlier work in [38], here we develop more accurate and complete system analyses and performance evaluations, in the framework of the 5G enhanced mobile broadband (eMBB) applications. Specifically, in [38], a second-order Taylor approximation was utilized which yields good performance estimates with high phase resolution.…”

Section: B Contributionsmentioning

confidence: 99%

“…Compared to our earlier work in [38], here we develop more accurate and complete system analyses and performance evaluations, in the framework of the 5G enhanced mobile broadband (eMBB) applications. Specifically, in [38], a second-order Taylor approximation was utilized which yields good performance estimates with high phase resolution. Following up on this, in the current work, a more generic analysis is developed, being applicable also with lower phase resolutions.…”

Section: B Contributionsmentioning

confidence: 99%

“…Due to the overload distortion being omitted in [18], we use the simulated results for the Cartesian transmitter rather than the analytical ones. In addition, analytical results with the second order Taylor approximation method from [38] are also presented for comparison. The results in Fig.…”

Section: B Average Sum-ratementioning

confidence: 99%

“…However, the polar transmitter with smaller amplitude and phase bits requires more power to meet the target SE for the case of l A = l P = l DAC . In addition, it is not feasible to estimate the P adjust for the polar transmitter with 2-bit amplitude and phase resolutions in dense urban use case since the term Ḡ − ( Ī2 + D2 )SIN R req < 0 in (38). This is because the SINDR is limited by the quantization distortion due to coarse quantization.…”

Section: Power Consumption Comparisonmentioning

confidence: 99%

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Digital Polar Transmitters for Massive MIMO: Sum-Rate and Power Efficiency Analysis

Lampu

Kosunen

et al. 2024

IEEE Trans. Wireless Commun.

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In this article, we comprehensively investigate the potential of the digital polar radio transmitter architecture for multi-user massive multiple-input multiple-output orthogonal frequency-division multiplexing (MIMO-OFDM) downlink system. In terms of throughput performance, we derive a lower bound for the average sum-rate achievable with Gaussian signaling inputs and zero-forcing (ZF) precoding based on Bussgang decomposition. By diagonal approximation, we derive an approximate, yet accurate, model for the distortion caused by uniform polar quantization, which can be used to evaluate the corresponding sum-rate in closed form. To assess the power efficiency, we provide power consumption models with realistic parameters and values for the quantized polar and Cartesian transmitters, based on state-of-the-art integrated circuit (IC) designs and measurements. Extensive numerical results demonstrate that the proposed quantized polar transmitter can enable excellent performance in terms of average sum-rate, symbol error rate (SER), and out-of-band (OOB) emission level, compared to the Cartesian architecture. Furthermore, the power consumption comparisons show that the digital polar transmitter can save more than 36% in the energy consumption under 64-antenna setting in typical 5G enhanced mobile broadband use cases, thus making it highly appealing for future power-efficient massive MIMO transmitter implementations.

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Section: B Contributionsmentioning

confidence: 99%

Section: B Contributionsmentioning

confidence: 99%

Section: B Average Sum-ratementioning

confidence: 99%

Section: Power Consumption Comparisonmentioning

confidence: 99%

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