A 2-D fading forecast of time-variant channels based on parametric modeling techniques

Semmelrodt, Sven; Kattenbach, R.

doi:10.1109/pimrc.2002.1045457

Cited by 13 publications

(9 citation statements)

References 6 publications

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“…Figure shows the resource elements for the suggested key generation scheme that follow Algorithm 1 in exchanging the messages between parties. For the reverse channel training sequence, we assume a factor α that indicates the use one of channel estimation techniques to reduce the training sequences. α is taking range from 0 to 1, which ranges from full reduction α = 0 to no reduction α = 1.…”

Section: Key Generation With Reverse Time Reductionmentioning

confidence: 99%

“…As in Sections 3, following the same protocol for key generation except that for the reverse channel (step 2) Alice and Bob compute the reverse channel gain h 1 and h 2 using one of channel estimation techniques in the literature, the achieved secret key rate is

R_{S} = \frac{1}{2 T} italiclog ((), 1 + \frac{{((), σ_{1}^{2} σ_{2}^{2} P T_{F})}^{2}}{σ_{1}^{4} σ_{2}^{2} P T_{F} σ^{2} + σ_{1}^{2} σ_{2}^{4} P T_{F} σ^{2} + σ_{1}^{2} σ_{2}^{2} σ^{4} + σ_{2}^{2} P {αT}_{R} σ^{2} + σ_{1}^{2} P {αT}_{R} σ^{2} + σ^{4}})

where α is the reduction coefficient, 0 < α ≤ 1.…”

Section: Key Generation With Reverse Time Reductionmentioning

confidence: 99%

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Improving secret key generation for wireless communications in FDD mode

Allam

2018

Int J Communication

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Summary Most recent research on channel‐based key generation oriented to time division duplex system because the channel reciprocity feature is applied directly for secret key generation. Most of commercial cellular systems depend on frequency division duplex (FDD) systems. In this paper, we investigate the impact of uplink and downlink of FDD systems for the generation of shared secret keys between two parties in the presents of passive eavesdropper. In addition, we are considering improving the rate of the secret key for wireless communication in FDD mode. The main idea is to use the fading coefficient of the channels between the relay and other parties as an additional random common source for the secret key generation. Also, explore the using of channel estimation techniques to reduce the channel training sequence and study its effect on the generation of shared key for wireless communications in FDD mode. We derive the upper bound of the generated shared key rate for four scenarios and give numerical examples to reveal the performance of our suggested improvement approaches.

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Section: Key Generation With Reverse Time Reductionmentioning

confidence: 99%

R_{S} = \frac{1}{2 T} italiclog ((), 1 + \frac{{((), σ_{1}^{2} σ_{2}^{2} P T_{F})}^{2}}{σ_{1}^{4} σ_{2}^{2} P T_{F} σ^{2} + σ_{1}^{2} σ_{2}^{4} P T_{F} σ^{2} + σ_{1}^{2} σ_{2}^{2} σ^{4} + σ_{2}^{2} P {αT}_{R} σ^{2} + σ_{1}^{2} P {αT}_{R} σ^{2} + σ^{4}})

where α is the reduction coefficient, 0 < α ≤ 1.…”

Section: Key Generation With Reverse Time Reductionmentioning

confidence: 99%

Improving secret key generation for wireless communications in FDD mode

Allam

2018

Int J Communication

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“…Another approach was to model the channel coefficients as samples of an autoregressive process and with the estimated coefficients of the autoregressive process the future channel coefficients were estimated but again not the channel coefficients for another frequency band [3]. In some contributions the CTF was also estimated for another frequency band based on the physical parameters [4]. The performance of the techniques based on the physical parameters was rather poor compared to the techniques based on the autoregressive approaches.…”

Section: Introductionmentioning

confidence: 99%

Obtaining transmitter side channel state information in MIMO FDD systems

Palleit

Weber

2009

2009 IEEE 20th International Symposium on Personal, Indoor and Mobile Radio Communications

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Channel state information (CSI) in systems with multiple antennas at both sides of the transmission link (multiple input multiple output, MIMO) is beneficial for many transmission schemes. However, a transceiver station can only estimate the channel transfer functions (CTFs) of the channels over which the received signals propagate which are different from the channels over which the transmitted signals will propagate in FDD systems. This paper shows a technique to obtain the CSI of the channels over which the transmitted signal will propagate based on the CSI of the channels over which the received signals propagate. By means of estimating the directions of arrival (DOAs) and times of arrival (TOAs), the shift of the previously estimated CSI to the CSI which cannot be estimated based on training signals can be calculated. The quality of the proposed algorithm depends on the quality of the parameter estimation. In scenarios with many scatterers the estimation of the DOAs and TOAs may not be precise enough or there may be paths with similar parameters which cannot be resolved. Thus, the proposed algorithm performs better in non-rich scattering environments.

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“…In the context of wideband channel prediction [4], [5], [6], amongst others subspace based algorithms have been investigated. In [4] the ESPRIT algorithm has been employed for the prediction of fast fading wideband channels.…”

Section: Introductionmentioning

confidence: 99%

“…Finally, the CTF can be extrapolated in order to predict the future CTF. In [5], [6] both the one-dimentional 1-D and 2-D Unitary-Esprit algorithms have been employed for estimating the CTF. Once the CTF has been determined, its future values can be extrapolated in both the time and frequency domain.…”

Section: Introductionmentioning

confidence: 99%

Wideband Channel Estimation and Prediction in Single-Carrier Wireless Systems

Liu

Yang

Hanzo

2005 IEEE 61st Vehicular Technology Conference

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Abstract-In this contribution wideband channel estimation and prediction designed for single-carrier wideband wireless communications systems are investigated. Specifically, the single-carrier wideband pilot signal received by the receiver is first converted to the frequency-domain. Then, the envelope of the channel transfer function (CTF) is estimated in the frequency-domain, in order to reduce the effects of background noise on the channel prediction step to be invoked. Finally, channel prediction is carried out based on the estimated CTF in the frequency-domain, where a Kalman filter assisted long-range channel prediction algorithm is employed. Our simulation results show that for a reasonable signal-to-noise ratio (SNR) value the proposed frequency-domain based wideband channel estimator is capable of efficiently mitigating the effects of the background noise, hence enhancing the performance of wideband channel prediction.

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A 2-D fading forecast of time-variant channels based on parametric modeling techniques

Cited by 13 publications

References 6 publications

Improving secret key generation for wireless communications in FDD mode

Improving secret key generation for wireless communications in FDD mode

Obtaining transmitter side channel state information in MIMO FDD systems

Wideband Channel Estimation and Prediction in Single-Carrier Wireless Systems

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