SNR estimation in time-varying fading channels

Wiesel, Ami; Goldberg, J.; Messer-Yaron, Hagit

doi:10.1109/tcomm.2006.873995

Cited by 100 publications

(48 citation statements)

References 16 publications

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“…While (9) provides a useful heuristic 7 for some SNR trust regions, we argue that it is inapplicable whenever the trust region contains the zero SNR.…”

Section: Comparison With Previous Workmentioning

confidence: 98%

“…The problem of accurately recovering the SNR from a noisy data sequence was addressed quite early in literature [5] and different estimators, tailored to the signalspecific model, have been proposed in later studies, see [6] for an overview. Among the different approaches, employed for SNR recovery, are the data-aided (DA) maximum-likelihood estimator (MLE) [7], the decision-directed (DD) estimator [8] and the method-of-moments [9].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Uniformly Improving Maximum-Likelihood SNR Estimation of Known Signals in Gaussian Channels

Stathakis

Jaldén

Rasmussen

et al. 2014

IEEE Trans. Signal Process.

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Abstract-The signal-to-noise ratio (SNR) estimation problem is considered for an amplitude modulated known signal in Gaussian noise. The benchmark method is the maximumlikelihood estimator (MLE), whose merits are well-documented in the literature. In this work, an affinely modified version of the MLE (AMMLE) that uniformly outperforms, over all SNR values, the traditional MLE in terms of the mean-square error (MSE) is obtained in closed-form. However, construction of an AMMLE whose MSE is lower, at every SNR, than the unbiased Cramer-Rao bound (UCRB), is shown to be infeasible. In light of this result, the AMMLE construction rule is modified to provision for anà priori known set S, where the SNR lies, and the MSE enhancement target is pursued within S. The latter is realized through proper extension of an existing framework, due to Eldar [13], which settles the design problem by solving a semidefinite program. The analysis is further extended to the general case of vector signal models. Numerical results show that the proposed design demonstrates enhancement of the MSE for all the considered cases.

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“…While (9) provides a useful heuristic 7 for some SNR trust regions, we argue that it is inapplicable whenever the trust region contains the zero SNR.…”

Section: Comparison With Previous Workmentioning

confidence: 98%

Section: Introductionmentioning

confidence: 99%

Uniformly Improving Maximum-Likelihood SNR Estimation of Known Signals in Gaussian Channels

Stathakis

Jaldén

Rasmussen

et al. 2014

IEEE Trans. Signal Process.

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show abstract

“…Intuitively, since the quality of each link in the first symmetric network is not better than the corresponding link in the original asymmetric network, it suffers a higher system outage probability. Thus the upper bound is obtained by calculating the system outage probability of this special symmetric network using (21). Similarly, we can generate the second symmetric network where the source-torelay links have higher or identical qualities compared to the corresponding links in the original asymmetric network, and get the lower bound.…”

Section: Appendix B the Expressionmentioning

confidence: 99%

“…2) In contrast with traditional protocols that achieve full cooperative diversity with the aid of relay selection, R3SSP does not require CSI feedback to carry out source selection, rendering much convenience for practical implementation. The source selection is performed by means of the quality record of each source, which is simply characterized as the signal-to-noise ratio (SNR) of the combined signals of each source, and may be easily obtained by SNR estimation algorithms [20], [21] at the destination. 3) Based on the DMT analysis of R3SSP, an adaptive relay activation (ARA) strategy is then proposed to further improve the DMT performance of R3SSP.…”

mentioning

confidence: 99%

Round-Robin Relaying With Diversity in Amplify-and-Forward Multisource Cooperative Communications

Zhang

Yang

2013

IEEE Trans. Veh. Technol.

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Abstract-In this paper, a round-robin based relay protocol dubbed round-robin relaying with source selection protocol (R3SSP) is proposed to achieve full cooperative diversity in multisource cooperative communication networks. In R3SSP, all the sources transmit their individual information in turn. The relays then forward the messages of some specific sources in a fixed order according to the limited feedback information. Compared with traditional relay selection based protocols, R3SSP is based on round-robin relaying, thus avoids relay selection and requires no specific channel state information (CSI) feedback. R3SSP can therefore be implemented with lower complexity. Furthermore, the exact and asymptotic expressions of the outage probability are derived. The diversity-multiplexing tradeoff (DMT) performance is also analyzed. Theoretical analysis shows that R3SSP achieves full cooperative diversity, and provides better DMT performance than relay selection based protocols in a system where the number of sources is higher than that of the relays. Based on the DMT analysis, we further propose an adaptive relay activation (ARA) scheme which is capable of achieving higher DMT by dynamically selecting the number of relays to be activated in the entire network. Simulation results also verify the validity and superiority of R3SSP.

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“…To mitigate the effect of SNR variations, SNR values from multiple beacon or probe response frames can be averaged [17].…”

Section: Snr-based Admission Control Schemementioning

confidence: 99%

An SNR-based admission control scheme in WiFi-based vehicular networks

Kim

Pack

et al. 2011

J Wireless Com Network

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In WiFi-based vehicular networks, the performance anomaly problem can be serious because different vehicles with diverse channel conditions access the channel by a random access protocol. In this article, we first develop a novel analytical model, which combines the vehicular traffic theory and WiFi properties to show the impact of performance anomaly at the intersection. We then propose a signal-to-noise ratio (SNR)-based admission control scheme that excludes vehicles with bad channel qualities to address the performance anomaly problem. Extensive simulation and analytical results are presented to show the effect of the traffic condition and the topology. From the simulation results, it can be found that the SNR-based admission control scheme can improve the overall throughput, and starvation issues can be addressed by means of mobility in WiFi-based vehicular networks with multiple intersections.

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SNR estimation in time-varying fading channels

Cited by 100 publications

References 16 publications

Uniformly Improving Maximum-Likelihood SNR Estimation of Known Signals in Gaussian Channels

Uniformly Improving Maximum-Likelihood SNR Estimation of Known Signals in Gaussian Channels

Round-Robin Relaying With Diversity in Amplify-and-Forward Multisource Cooperative Communications

An SNR-based admission control scheme in WiFi-based vehicular networks

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