Nonlinear MIMO: affordable MIMO technology for wireless sensor networks

Psaltopoulos, Georgios K.; Wittneben, A.

doi:10.1109/twc.2010.02.090530

Cited by 33 publications

(31 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This is due to the presence of the nonlinearity distortion power σ 2 d in (19), which also scales with the input power (see (11)). Thus, we seek to work out the EAR in the asymptotic regime.…”

Section: B Asymptotic Analysismentioning

confidence: 99%

Performance Limits of MIMO Systems with Nonlinear Power Amplifiers

Fozooni¹,

Matthaiou²,

Björnson³

et al. 2014

2015 IEEE Global Communications Conference (GLOBECOM)

View full text Add to dashboard Cite

Abstract-The development of 5G enabling technologies brings new challenges to the design of power amplifiers (PAs). In particular, there is a strong demand for low-cost, nonlinear PAs which, however, introduce nonlinear distortions. On the other hand, contemporary expensive PAs show great power efficiency in their nonlinear region. Inspired by this trade-off between nonlinearity distortions and efficiency, finding an optimal operating point is highly desirable. Hence, it is first necessary to fully understand how and how much the performance of multiple-input multipleoutput (MIMO) systems deteriorates with PA nonlinearities. In this paper, we first reduce the ergodic achievable rate (EAR) optimization from a power allocation to a power control problem with only one optimization variable, i.e. total input power. Then, we develop a closed-form expression for the EAR, where this variable is fixed. Since this expression is intractable for further analysis, two simple lower bounds and one upper bound are proposed. These bounds enable us to find the best input power and approach the channel capacity. Finally, our simulation results evaluate the EAR of MIMO channels in the presence of nonlinearities. An important observation is that the MIMO performance can be significantly degraded if we utilize the whole power budget.

show abstract

Section: B Asymptotic Analysismentioning

confidence: 99%

Performance Limits of MIMO Systems with Nonlinear Power Amplifiers

Fozooni¹,

Matthaiou²,

Björnson³

et al. 2014

2015 IEEE Global Communications Conference (GLOBECOM)

View full text Add to dashboard Cite

show abstract

“…Nonlinear MIMO (NL-MIMO) [8], [9] is featured on lowpower and low-cost. It can achieve information recovery based on the amplitudes of the complex baseband signals, which can be acquired by simple envelop detection.…”

Section: Introductionmentioning

confidence: 99%

“…However, NL-MIMO [8], [9] has the following three drawbacks, which limit its application in mmWave massive MIMO. First, because the phase information is lost at the BS, [8], [9] forced the transmitter to adopt an extended on-off keying (Ex-OOK) modulation where the input data-bits were mapped as 0 or a positive number. Ex-OOK exploits only the inphase (I) dimension, has low data rate (i.e.…”

Section: Introductionmentioning

confidence: 99%

“…So its spectral and energy efficiencies are much lower than that of quadrature amplitude modulation (QAM). Second, highresolution quantization was used implicitly [8], [9], which becomes rather difficult at the mmWave band.…”

Section: Introductionmentioning

confidence: 99%

“…Until now, the new problem is how to design practical multiuser detector for this new amplitude-only (AO-) MIMO system. Apparently, the detectors from [8], [9] will not work anymore, because they target on recovering the real-valued Ex-OOK symbols but not the complex QAM ones, and naively omitted the quantization effects which must be handled specially here (considering low-resolution ADCs are used). Moreover, they have exponential complexities, and quickly become infeasible once the system dimension becomes large.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Multiuser Detection in Massive MIMO with Quantized Amplitude-Only Measurements

Wang¹,

Zhang²,

Li³

et al. 2014

2015 IEEE Global Communications Conference (GLOBECOM)

View full text Add to dashboard Cite

This correspondence researches the multiuser detection (MUD) in a new massive MIMO system, where the base station (BS) acquires the quantized amplitude-only (AO) measurements of the complex baseband signals through the envelop detection and low-resolution analog-to-digital convertor (ADC) sampling. Cumbersome frequency mixers are removed and low-resolution ADCs can easily reach the Giga-sample-persecond (GSPS) rate, so massive AO-MIMO has low power and low cost, and is especially suitable for millimeter-wave (mmWave) communication. A practical multiuser detector is constructed based on the Wirtinger-flow (WF) gradient method for phase retrieval (PR), and the message passing de-quantization (MPDQ) algorithm for the quantized compressed sensing (CS). It iterates between the missing phase estimation and signal reconstruction, and involves only matrix-vector multiplication as its complex operation. Simulation results validate the effectiveness of the proposed detector, and show that massive AO-MIMO can even perform similarly as the classical massive MIMO by adopting relatively more BS antennas.

show abstract

Channel estimation for nonlinear MIMO receiver with square envelope detection

Hao

Tsai

2011

Int J Communication

View full text Add to dashboard Cite

SUMMARYTwo practical channel estimation schemes, the moment‐based first‐and‐second moments and the simplified maximum likelihood estimators, are proposed for the MIMO/on–off keying system with square envelope detection applied for wireless sensor networks. Here, both the channel response and noise power are estimated simultaneously in comparison with other approaches in which the noise quantity is assumed to be known at the receiver. Hence, the developed estimators are more practical than those estimators without noise power estimation. Simulation results reveal that the system with both proposed schemes can achieve an excellent BER performance in a wide signal‐to‐noise ratio (SNR) range. More specifically, we observed that the simplified maximum likelihood estimator performed as well as the moment‐based first‐and‐second moments estimator for SNR greater than 7.5 dB, yet had much more decline at low SNRs. This study also investigated the effects of the numbers of receive antennas and transmit antennas on the system performance. Simulation results demonstrated that, at the BER of 10−3, the 5 × 5 system had an improvement of 7 dB in SNR compared with the 3 × 3 system. Copyright © 2011 John Wiley & Sons, Ltd.

show abstract

Nonlinear MIMO: affordable MIMO technology for wireless sensor networks

Cited by 33 publications

References 21 publications

Performance Limits of MIMO Systems with Nonlinear Power Amplifiers

Performance Limits of MIMO Systems with Nonlinear Power Amplifiers

Multiuser Detection in Massive MIMO with Quantized Amplitude-Only Measurements

Channel estimation for nonlinear MIMO receiver with square envelope detection

Contact Info

Product

Resources

About