Pilot-Based Time Domain SNR Estimation for Broadcasting OFDM Systems

Khan, Abid Muhammad; Jeoti, Varun; Rehman, M. Z. Ur; Jilani, Muhammad Taha; Chugtai, Omer; Rehmani, Mubashir Husain

doi:10.1155/2018/9319204

Cited by 5 publications

(7 citation statements)

References 25 publications

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“…For the DA-SNR estimator, SNR estimation is performed at the receiver using the training sequence or pilot data. Hence, it has higher estimation accuracy [17], [18], but at the expense of data overhead. The DA-SNR estimator has higher estimation accuracy than the NDA-SNR estimator but involves the insertion of a periodic pilot sequence, which is inefficient.…”

Section: A Related Workmentioning

confidence: 99%

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Adaptive Modulation With CAZAC Preamble-Based Signal-to-Noise-Ratio Estimator in OFDM Cooperative Communication System

Manzoor

Othman

2022

IEEE Access

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This paper presents an adaptive modulation in a single-input-single-output (SISO)-OFDM-based cooperative system that employs a Constant Amplitude Zero Autocorrelation (CAZAC) preamble-based SNR estimator. A novel CAZAC preamble-based SNR estimator that does not incur a throughput penalty is derived by exploiting a modified CAZAC preamble structure for the OFDM system. The proposed CAZAC SNR estimator is used to estimate the channel quality by finding the instantaneous SNR of the received cooperative data, which is sent to the transmitter via feedback channel. The modulation scheme is then changed according to the estimated SNR. The performance of the CAZAC preamble-based SNR estimator exhibits less than 0.02 dB and less than 0.2 dB bias when communicating over AWGN and SUI-5 channels, respectively. The proposed adaptive modulation scheme with the CAZAC SNR estimator significantly improved the channel throughput in comparison with the corresponding benchmarker scheme dispensing with adaptive modulation that invokes M -PSK and M -QAM. More explicitly, the proposed adaptive modulation system with the CAZAC SNR estimator that invokes M -PSK exhibits significant improvement by about 5 dB at BER=10 −3 in comparison to its corresponding benchmarker scheme dispensing with adaptive modulation when communicating over the SUI-5 channel. On the other hand, the relay-aided cooperative transmission exhibited an approximately 6 dB SNR gain in terms of channel throughput in comparison to the corresponding non-cooperative benchmarker scheme, and benefited from spatial diversity.

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Section: A Related Workmentioning

confidence: 99%

“…Some of the methods used in the derivation of SNR estimations are maximum likelihood [19], second order moment criteria [20], second and fourth order moments (M2M4) [16], and autocorrelation function [17]. In [20], second-order moment criteria are used to derive the SNR expression.…”

Section: A Related Workmentioning

confidence: 99%

Adaptive Modulation With CAZAC Preamble-Based Signal-to-Noise-Ratio Estimator in OFDM Cooperative Communication System

Manzoor

Othman

2022

IEEE Access

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“…Since the transmit waveforms must follow governance and standards, these nulls' shape, depth, and width have to meet the spectral criteria [12]. These nulls also result in significant performance degradation of channel estimation algorithms [13]. Thus, providing a low complexity channel estimation for spectrally constrained (SC) MB waveform is the focus of this work.…”

Section: Introductionmentioning

confidence: 99%

“…The TD channel estimation methods can generally be categorized into two types. Those employ discrete Fourier transform (DFT) processing to compute CIR from LS estimates [23][24][25][26][27][28], and those utilize TD correlation between the received signal and known signal to estimate the CIR [13,[29][30][31][32][33].…”

Section: Introductionmentioning

confidence: 99%

Advancing Multiband OFDM Channel Sounding: An Iterative Time Domain Estimation for Spectrally Constrained Systems

Iqbal,

Drieberg,

Jeoti

et al. 2023

IEEE Access

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The emerging wireless applications are facing new challenges in combating frequency congestion problems. As a result, the opportunistic utilization of available frequency spectrum and channel bonding is becoming increasingly common in new wireless standards. In these systems, the transmit waveforms are required to have nulls in specific frequency bands to avoid interference with primary users. However, these nulls can significantly affect the performance of channel estimation algorithms. This work proposes a novel Iterative Multiband (MB) Spectrally Constrained Time-Domain (SCTD) technique to developed to reduce the residual error of correlation due to spectrally constrained waveforms. The performance of the newly developed technique is evaluated through extensive numerical experiments, where the Mean Squared Error (MSE) and Bit Error Rate (BER) are computed for various scenarios. The accuracy of the proposed technique is compared with known channel state information and with conventional techniques. The simulation results show that the proposed Time-Domain Iterative Method, SCTD, performs better than conventional techniques for various Rayleigh channel conditions with Additive White Gaussian Noise (AWGN). It was found that after ten iterations, the proposed technique outperforms the conventional technique for both stationary and mobile frequency-selective channels. Furthermore, it was observed that the proposed SCTD technique requires fewer pilot signals to achieve a similar performance. The results show that the proposed SCTD method supersedes the conventional techniques for stationary and mobile frequency selective channel scenarios within ten iterations. Subsequently, it is observed that the proposed SCTD method requires 50% fewer pilots to provide similar performance compared to conventional methods. It is also observed that the proposed SCTD method provides an average of 6 dB mean squared error (MSE) advantage for low signal-to-noise ratio per bit (𝐸 𝑏 𝑁 0 ⁄ ) regime cases. It can be concluded that the proposed technique is highly suitable, particularly for low 𝐸 𝑏 𝑁 0 ⁄ regimes and can be used for various communication systems.

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“…The ACK/NACK signals, used in Hybrid Automatic Repeat Request (HARQ) scheme [1], [2], can be used to identify the breaking point SINRs, but this procedure also depends on a high error rate prospect. There are several approaches available in the literature to estimate the SINR using data-aided (DA) classes [3], [4], [5], [6]. The results presented in the literature show that the performance of the SINR estimation improves when previously known transmit data is used in the receiver side.…”

Section: Introductionmentioning

confidence: 99%

A Novel Technique for Link Adaptation Based on Inner Receiver Statistics

Kagami¹,

Figueiredo²,

Lopes³

et al. 2022

Anais Do XL Simpósio Brasileiro De Telecomunicações E Processamento De Sinais

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The fast-moving evolution of new technologies is driving the future mobile networks to a challenging pursuit for high throughput and reliability. Emerging services will need precise indicators to address contrasting requisites and link adaptation is a cardinal element. The received signal measurements must provide complete information to perform appropriate and timely decisions. Most communication systems employ statistics based on error rates, but it is not sufficient to accomplish all requirements. Additional information is necessary to define the best parametrization for each application. This paper indicates an approach to achieve this goal by monitoring processes directly into the physical layer decoding.

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Pilot-Based Time Domain SNR Estimation for Broadcasting OFDM Systems

Cited by 5 publications

References 25 publications

Adaptive Modulation With CAZAC Preamble-Based Signal-to-Noise-Ratio Estimator in OFDM Cooperative Communication System

Adaptive Modulation With CAZAC Preamble-Based Signal-to-Noise-Ratio Estimator in OFDM Cooperative Communication System

Advancing Multiband OFDM Channel Sounding: An Iterative Time Domain Estimation for Spectrally Constrained Systems

A Novel Technique for Link Adaptation Based on Inner Receiver Statistics

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