Achievable rates of nonlinear MIMO systems with noisy channel state information

Psaltopoulos, Georgios K.; Wittneben, A.

doi:10.1109/isit.2008.4595474

Cited by 6 publications

(5 citation statements)

References 7 publications

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“…Let

{\overset{v}{true}}_{q_{l}^{i}}

and

{\overset{σ}{true}}_{w}^{2}

denote the corresponding estimates of

v_{q_{l}^{i}}

and

σ_{w}^{2}

, respectively. The m th moment of the mixed Ricean distribution in can be obtained in and

M_{m} MathClass-punc: MathClass-rel= E ([], {(y_{l MathClass-punc, k}^{i})}^{m}) MathClass-rel= m {MathClass-punc!}_{1} F_{1} ((), MathClass-bin- m MathClass-punc, 1 MathClass-punc, MathClass-bin- \frac{v_{q_{l}^{i}}^{2} α^{2}}{σ_{w}^{2}}) MathClass-punc,

…”

Section: Proposed Estimation Methodsmentioning

confidence: 99%

“…Let O v q i l and O 2 w denote the corresponding estimates of v q i l and 2 w , respectively. The mth moment of the mixed Ricean distribution in (11) can be obtained in [13] and [14] M m WD E .…”

Section: Estimation Based On First-and-second Momentsmentioning

confidence: 99%

“…To meet these demands of low power consumption, low computational complexity, and higher rate, a new family of nonlinear MIMO systems is developed. The nonlinear MIMO/OOK scheme was first proposed in 2010 . Specifically, this system combines the high‐rate of the MIMO system with the nonlinear OOK modulation.…”

Section: Introductionmentioning

confidence: 99%

“…The 948 M.-J. HAO AND Y.-C. TSAI nonlinear MIMO/OOK scheme was first proposed in 2010 [9][10][11][12][13]. Specifically, this system combines the high-rate of the MIMO system with the nonlinear OOK modulation.…”

Section: Introductionmentioning

confidence: 99%

“…In , the semi‐analytical results for achievable rates in MIMO systems that use nonlinear detectors for the fast fading channel and outage probabilities for the same detectors in the slow fading case was provided. The work in extended the study of the achievable rates to cover the case where the channel estimation at the receiver contains an additive Gaussian noise term.…”

Section: Introductionmentioning

confidence: 99%

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Channel estimation for nonlinear MIMO receiver with square envelope detection

Hao

Tsai

2011

Int J Communication

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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.

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“…Let

{\overset{v}{true}}_{q_{l}^{i}}

and

{\overset{σ}{true}}_{w}^{2}

denote the corresponding estimates of

v_{q_{l}^{i}}

and

σ_{w}^{2}

, respectively. The m th moment of the mixed Ricean distribution in can be obtained in and

M_{m} MathClass-punc: MathClass-rel= E ([], {(y_{l MathClass-punc, k}^{i})}^{m}) MathClass-rel= m {MathClass-punc!}_{1} F_{1} ((), MathClass-bin- m MathClass-punc, 1 MathClass-punc, MathClass-bin- \frac{v_{q_{l}^{i}}^{2} α^{2}}{σ_{w}^{2}}) MathClass-punc,

…”

Section: Proposed Estimation Methodsmentioning

confidence: 99%

Section: Estimation Based On First-and-second Momentsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Channel estimation for nonlinear MIMO receiver with square envelope detection

Hao

Tsai

2011

Int J Communication

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Exploring Uplink Achievable Rate for HPO MIMO Through Quasi-Monte Carlo and Variance Reduction Techniques

Gong

Zhang

et al. 2020

IEEE Access

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The power consumption at the receiver side will be dramatically increased in the millimetrewave and massive multiple-input-multiple-output (MIMO) communication systems due to the wide bandwidth and a large number of antennas adopted. A half phase-only MIMO (HPO MIMO) scheme, in which the base station (BS) acquires π-periodic phase measurements of the complex envelop signals was proposed very recently to overcome the above problem. Due to the non-linear nature of HPO MIMO, the valuation of the achievable rate is very challenging. The purpose of the paper is to provide an efficient method for calculating the achievable rate of the HPO MIMO system. By the mutual information theory, we transform the achievable rate into a sum of two high-dimensional integrations. However, calculating those integrations suffers from the enormous computational burden when using the traditional Monte-Carlo method. In order to increase efficiency, a new method by combining quasi-Monte Carlo with a variance reduction technique is proposed. Besides, we derive the probability density function (PDF) of the HPO MIMO system and analyze the uplink achievable rate of the HPO MIMO scheme. Numerical results show that our proposed method is efficient for calculating the achievable rate of the HPO MIMO system. With the proposed method we confirm that HPO MIMO is a promising technology in future low-power communication scenarios.

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Channel Estimation for Very Low Power MIMO Envelope Detectors

Psaltopoulos

Wittneben

2010

2010 IEEE International Conference on Communications

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Achievable rates of nonlinear MIMO systems with noisy channel state information

Cited by 6 publications

References 7 publications

Channel estimation for nonlinear MIMO receiver with square envelope detection

Channel estimation for nonlinear MIMO receiver with square envelope detection

Exploring Uplink Achievable Rate for HPO MIMO Through Quasi-Monte Carlo and Variance Reduction Techniques

Channel Estimation for Very Low Power MIMO Envelope Detectors

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