Constant Power Signaling in Rayleigh Fading Channels: Joint Output Probability Distribution and Information Rate Bounds

Iqbal, Rauf; Sadeghi, Parastoo; Abhayapala, Thushara D.

doi:10.1109/csie.2009.482

Cited by 1 publication

(2 citation statements)

References 13 publications

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“…Exact calculation of the mutual information is infeasible due to the non-Gaussian distribution of [28]. Note that [29] (37) where , , and since the input has an i.i.d.…”

Section: B Lower Bound Over Rayleigh Fading Channelsmentioning

confidence: 99%

“…The ambient noise consists of four sources [6]: turbulence , shipping , waves , and thermal noise . They can be described by Gaussian statistics with a continuous PSD in dBre/ Pa per hertz (28) where is frequency in kilohertz and the overall noise PSD is (29) is the shipping activity and is the wind speed in meters per second. The ratio of the attenuation and the ambient noise PSD is crucial in determining a frequency band that maximizes signal-to-noise ratio (SNR) for each transmission distance.…”

Section: Ambient Noisementioning

confidence: 99%

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Capacity of OFDM Systems Over Fading Underwater Acoustic Channels

Polprasert

Ritcey

Stojanovic

2011

IEEE J. Oceanic Eng.

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Abstract-In this paper, we derive bounds to the channel capacity of orthogonal frequency division multiplexing (OFDM) systems over the underwater (UW) acoustic fading channel as a function of the distance between the transmitter and the receiver. The upper bound is obtained under perfect channel state information (CSI) at the receiver. The lower bound is obtained assuming the input is drawn from phase-shift keying (PSK) constellation which results in non-Gaussian distribution of the output signal and no CSI. The reduction from the upper bound is due to limited mutual information that can be conveyed by PSK constellation and the linear minimum mean square prediction error. Our UW channel deviates from the wide sense stationary and uncorrelated scattering (WSSUS) model commonly used for small bandwidths. We incorporate frequency-dependent path loss due to the acoustic propagation into each arrival path between the transmitter and the receiver. This leads the UW channel to be modeled as a frequency-dependent doubly spread fading channel characterized by the wide sense stationary and correlated scattering (WSS-non-US) fading assumption. Both Rayleigh and Ricean fading assumptions are investigated in our model. Results from the model show a gap between the upper and lower bounds which depends not only on the ranges and shape of the scattering function of the UW channel but also on the distance between the transmitter and the receiver. Our model for the scattering function was suggested by Rescheduled Acoustic Communications Experiment (RACE08) experimental data, leading to a multilag autoregressive (AR-) model for the fading.Index Terms-Doubly spread fading channels, linear minimum mean square error, orthogonal frequency division multiplexing (OFDM), underwater acoustic communications, underwater acoustic propagation, wideband channel capacity.

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“…Exact calculation of the mutual information is infeasible due to the non-Gaussian distribution of [28]. Note that [29] (37) where , , and since the input has an i.i.d.…”

Section: B Lower Bound Over Rayleigh Fading Channelsmentioning

confidence: 99%

Section: Ambient Noisementioning

confidence: 99%