Error Probability Analysis and Applications of Amplitude-Coherent Detection in Flat Rayleigh Fading Channels

Al-Dweik, Arafat; Iraqi, Youssef

doi:10.1109/tcomm.2016.2550524

Cited by 27 publications

(35 citation statements)

References 29 publications

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“…A quasi-static channel is assumed throughout this work, and thus, the channel taps are considered constant over one OFDM symbol, but they may change over two consecutive symbols. Therefore, the received sequence after dropping the CP samples and applying the FFT can be expressed as [12],…”

Section: B Channel and Received Signal Modelsmentioning

confidence: 99%

“…In the literature, reducing the complexity of the received has received extensive attention due to the limited size, energy and computational capabilities of handheld and Internet of Things (IoT) devices. Among many receiver designs, amplitudecoherent detection (ACD) has been recognized as an efficient approach [9]- [12]. The key concept of ACD is to estimate only the amplitude of the channel frequency response and use it for equalization.…”

Section: Introductionmentioning

confidence: 99%

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Direct Data Detection of OFDM Signals Over Wireless Channels

Saci

Al-Dweik

Shami

2020

IEEE Trans. Veh. Technol.

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This paper presents a novel efficient receiver design for wireless communication systems that incorporate orthogonal frequency division multiplexing (OFDM) transmission. The proposed receiver does not require channel estimation or equalization to perform coherent data detection. Instead, channel estimation, equalization, and data detection are combined into a single operation, and hence, the detector performs a direct data detector (D 3). The D 3 is applied to key practical wireless systems such as the Long Term Evolution (LTE) and the New Radio (NR) of the fifthgeneration (5G) system. The performance of the proposed D 3 is thoroughly analyzed theoretically in terms of bit error rate (BER), where closed-form accurate approximations are derived for several cases of interest, and validated by Monte Carlo simulations. Moreover, extensive complexity analysis are performed to evaluate the system suitability for implementation. The obtained theoretical and simulation results demonstrate that the BER of the proposed D 3 is only 3 dB away from coherent detectors with perfect knowledge of the channel state information (CSI) in flat and frequency-selective fading channels for a wide range of signal-to-noise ratios (SNRs). If CSI is not known perfectly, then D 3 outperforms the coherent detector substantially, particularly at high SNRs with linear interpolation. The computational complexity of D 3 depends on the length of the sequence to be detected, nevertheless, a significant complexity reduction can be achieved using the Viterbi algorithm.

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Section: B Channel and Received Signal Modelsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Direct Data Detection of OFDM Signals Over Wireless Channels

Saci

Al-Dweik

Shami

2020

IEEE Trans. Veh. Technol.

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“…When AC detection is adopted, the data symbols should be modulated using unipolar -ary amplitude shift keying (ASK) [12]. Given that the channel fading is flat, then the received signal in general can be described as  =  + , where  is the ASK information symbol selected uniformly from a one-dimensional unipolar constellation { 0 ,  1 ,    ,    −1 },  is the channel coefficient and  is the AWGN.…”

Section: Amplitude-coherent Detection For Optical Ofdmmentioning

confidence: 99%

“…Given that only the channel power gain || 2 ,  is available at the receiver, the data symbols can be efficiently extracted by equalizing the energy of , i.e., || 2 , using . Then, a simple threshold detector can be used, which corresponds to the heuristic AC detector [12].…”

Section: Amplitude-coherent Detection For Optical Ofdmmentioning

confidence: 99%

Amplitude-Coherent Detection for Optical Wireless Communications: Opportunities and Limitations

Al-Dweik¹,

Al‐Jarrah²,

Park³

et al. 2019

Preprint

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The proliferation of ubiquitous computing applications created a multi-dimensional optimization problem that includes several conflicting variables such as spectral efficiency, complexity, power consumption, delay, and error probability. To relax the problem and provide efficient solutions, it was necessary to augment the currently overutilized radio spectrum with new frequency bands such as the optical spectrum, which can be used to off-load some of the traffic of certain applications. Therefore, this paper presents an efficient system design that uses amplitude-coherent (AC) detection to reduce OWC system's complexity, improve its reliability and spectral efficiency. More specifically, we use amplitude shift keying with orthogonal frequency division multiplexing (OFDM) at the transmitter, and AC detection at the receiver. The complexity reduction is achieved by using a low complexity detector, channel estimator, and peak-to-average power ratio (PAPR) reduction scheme. The spectral efficiency is achieved by using real data symbols with discrete cosine transform (DCT), which requires a subcarrier spacing that is 50% of the discrete Fourier transform (DFT), and does not require Hermitian symmetry to generate real-valued OFDM signals. Moreover, the derived channel estimator is blind, and the PAPR reduction scheme does not require a feedback overhead between the transmitter and receiver.

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“…The estimated shaping parameters can be used to demodulate signals when the noncoherent detection is employed at the receiver side. Interested readers can refer to [18]- [20] for more details.…”

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confidence: 99%

Parameter Estimation of the Lognormal-Rician Channel Model Using Saddlepoint Approximation

Miao

2020

IEEE Access

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In this paper, the challenges of effective channel estimation for the lognormal-Rician turbulence model are addressed. We present a novel maximum likelihood estimation algorithm involving a saddlepoint approximation (SAP) method to estimate the shaping parameters of the lognormal-Rician distribution. An additional parameter k needs to be estimated in addition to r and σ 2 z under the SAP representation. The accuracy of the proposed estimator is investigated by using the mean square error and normalized mean square error. The simulated results show that the proposed estimator exhibits satisfactory performance over a wide range of turbulence conditions, and it can be easily applied to both noiseless and noisy situations. The effect of the estimated shaping parameters errors on the bit error rate (BER) for the on-off key (OOK) modulation is also investigated; it is shown that the BER performance derived with the SAP estimator becomes closer to the system performance with perfect shaping parameters as r increases. In particular, we present a qualitative comparison between the proposed SAP estimator and other algorithms available in the literature. INDEX TERMS Maximum likelihood estimation (MLE), SAP method, lognormal-Rician turbulence model, OOK modulation, qualitative comparison. I. INTRODUCTION Free space optical (FSO) communication, also known as outdoor optical wireless communication, has recently experienced extraordinary advances. High-speed data transmission can be provided by FSO communication in terms of its large available bandwidth. In addition, there are additional advantages of FSO communication over radio frequency (RF) communication including easy deployment, greater security, and unregulated spectrum resources [1]. Moreover, FSO communication has been intensively considered as a complementary technology to the RF communication in many application scenarios, which is known as hybrid (RF-FSO) communication [2]-[5]. Nevertheless, the performance of FSO links can be severely degraded by environment effects such as aerosol scattering, building-sway, and turbulenceinduced scintillation. Hence, in order to improve the reliable operation of FSO systems under a wide range of weather conditions, various types of processing techniques have been proposed to mitigate the adverse effects of the atmosphere (e.g., [6]-[9]). Many statistical models have been proposed to character

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Error Probability Analysis and Applications of Amplitude-Coherent Detection in Flat Rayleigh Fading Channels

Cited by 27 publications

References 29 publications

Direct Data Detection of OFDM Signals Over Wireless Channels

Direct Data Detection of OFDM Signals Over Wireless Channels

Amplitude-Coherent Detection for Optical Wireless Communications: Opportunities and Limitations

Parameter Estimation of the Lognormal-Rician Channel Model Using Saddlepoint Approximation

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