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Waveform design for massive MISO downlink with energy-efficient receivers adopting 1-bit ADCs

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Waveform design for massive MISO downlink with energy-efficient receivers adopting 1-bit ADCs. / Gokceoglu, Ahmet; Bjornson, Emil; Larsson, Erik G.; Valkama, Mikko.

2016 IEEE International Conference on Communications, ICC 2016. IEEE, 2016.

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Harvard

Gokceoglu, A, Bjornson, E, Larsson, EG & Valkama, M 2016, Waveform design for massive MISO downlink with energy-efficient receivers adopting 1-bit ADCs. in 2016 IEEE International Conference on Communications, ICC 2016. IEEE, IEEE International Conference on Communications, 1/01/00. https://doi.org/10.1109/ICC.2016.7510947

APA

Gokceoglu, A., Bjornson, E., Larsson, E. G., & Valkama, M. (2016). Waveform design for massive MISO downlink with energy-efficient receivers adopting 1-bit ADCs. In 2016 IEEE International Conference on Communications, ICC 2016 IEEE. https://doi.org/10.1109/ICC.2016.7510947

Vancouver

Gokceoglu A, Bjornson E, Larsson EG, Valkama M. Waveform design for massive MISO downlink with energy-efficient receivers adopting 1-bit ADCs. In 2016 IEEE International Conference on Communications, ICC 2016. IEEE. 2016 https://doi.org/10.1109/ICC.2016.7510947

Author

Gokceoglu, Ahmet ; Bjornson, Emil ; Larsson, Erik G. ; Valkama, Mikko. / Waveform design for massive MISO downlink with energy-efficient receivers adopting 1-bit ADCs. 2016 IEEE International Conference on Communications, ICC 2016. IEEE, 2016.

Bibtex - Download

@inproceedings{2721fcedbb084f9c9699dbef0a605e9b,
title = "Waveform design for massive MISO downlink with energy-efficient receivers adopting 1-bit ADCs",
abstract = "In high-density low-bitrate Internet-of-Things (IoT) use case of 5G networks, the terminals and sensors are to be of extremely low-cost and low energy-consuming. Typically, the analog-to-digital converters (ADCs) dominate the power-budget of receiver chains, in particular if the quantization resolution is high. Hence, receiver architectures deploying 1-bit ADCs are of high interest towards realizing low-cost, high energy-efficiency device solutions. In this paper, we study the waveform design and optimization for a narrowband low-bitrate massive MISO downlink targeting to achieve rates higher than 1 bits/sec (per real-dimension) where the terminal receivers adopt only simple 1-bit quantization (per real-dimension) with oversampling. In this respect, first we show that for a particular precoder structure, the overall link is equivalent to that of an AWGN SISO with controlled intersymbol interference (ISI). The filter design problem for generating the desired ISI in such SISO links has been studied in previous works, however, the only known method in literature is a computationally demanding brute force search method. As a novel contribution, we develop models and tools that elaborate on the conditions to be satisfied for unique detection and existence of solution for the filter coefficients. Then, as a concrete example, the developed models and tools are utilized to show that in the absence of noise, five-times oversampling is required for unique detection of 16-QAM input alphabet. Building on these findings, we then develop novel algorithms that can efficiently design the filter coefficients. Examples and simulations are provided to elaborate on filter coefficient design and optimization, and to illustrate good SER performance of the MISO link with 1-bit receiver even at SNRs down to 5 dB.",
author = "Ahmet Gokceoglu and Emil Bjornson and Larsson, {Erik G.} and Mikko Valkama",
year = "2016",
month = "7",
day = "12",
doi = "10.1109/ICC.2016.7510947",
language = "English",
booktitle = "2016 IEEE International Conference on Communications, ICC 2016",
publisher = "IEEE",

}

RIS (suitable for import to EndNote) - Download

TY - GEN

T1 - Waveform design for massive MISO downlink with energy-efficient receivers adopting 1-bit ADCs

AU - Gokceoglu, Ahmet

AU - Bjornson, Emil

AU - Larsson, Erik G.

AU - Valkama, Mikko

PY - 2016/7/12

Y1 - 2016/7/12

N2 - In high-density low-bitrate Internet-of-Things (IoT) use case of 5G networks, the terminals and sensors are to be of extremely low-cost and low energy-consuming. Typically, the analog-to-digital converters (ADCs) dominate the power-budget of receiver chains, in particular if the quantization resolution is high. Hence, receiver architectures deploying 1-bit ADCs are of high interest towards realizing low-cost, high energy-efficiency device solutions. In this paper, we study the waveform design and optimization for a narrowband low-bitrate massive MISO downlink targeting to achieve rates higher than 1 bits/sec (per real-dimension) where the terminal receivers adopt only simple 1-bit quantization (per real-dimension) with oversampling. In this respect, first we show that for a particular precoder structure, the overall link is equivalent to that of an AWGN SISO with controlled intersymbol interference (ISI). The filter design problem for generating the desired ISI in such SISO links has been studied in previous works, however, the only known method in literature is a computationally demanding brute force search method. As a novel contribution, we develop models and tools that elaborate on the conditions to be satisfied for unique detection and existence of solution for the filter coefficients. Then, as a concrete example, the developed models and tools are utilized to show that in the absence of noise, five-times oversampling is required for unique detection of 16-QAM input alphabet. Building on these findings, we then develop novel algorithms that can efficiently design the filter coefficients. Examples and simulations are provided to elaborate on filter coefficient design and optimization, and to illustrate good SER performance of the MISO link with 1-bit receiver even at SNRs down to 5 dB.

AB - In high-density low-bitrate Internet-of-Things (IoT) use case of 5G networks, the terminals and sensors are to be of extremely low-cost and low energy-consuming. Typically, the analog-to-digital converters (ADCs) dominate the power-budget of receiver chains, in particular if the quantization resolution is high. Hence, receiver architectures deploying 1-bit ADCs are of high interest towards realizing low-cost, high energy-efficiency device solutions. In this paper, we study the waveform design and optimization for a narrowband low-bitrate massive MISO downlink targeting to achieve rates higher than 1 bits/sec (per real-dimension) where the terminal receivers adopt only simple 1-bit quantization (per real-dimension) with oversampling. In this respect, first we show that for a particular precoder structure, the overall link is equivalent to that of an AWGN SISO with controlled intersymbol interference (ISI). The filter design problem for generating the desired ISI in such SISO links has been studied in previous works, however, the only known method in literature is a computationally demanding brute force search method. As a novel contribution, we develop models and tools that elaborate on the conditions to be satisfied for unique detection and existence of solution for the filter coefficients. Then, as a concrete example, the developed models and tools are utilized to show that in the absence of noise, five-times oversampling is required for unique detection of 16-QAM input alphabet. Building on these findings, we then develop novel algorithms that can efficiently design the filter coefficients. Examples and simulations are provided to elaborate on filter coefficient design and optimization, and to illustrate good SER performance of the MISO link with 1-bit receiver even at SNRs down to 5 dB.

U2 - 10.1109/ICC.2016.7510947

DO - 10.1109/ICC.2016.7510947

M3 - Conference contribution

BT - 2016 IEEE International Conference on Communications, ICC 2016

PB - IEEE

ER -