Simulations of the time and frequency selective outdoor mobile radio channel

Dersch, U.; Ruegg, R.

doi:10.1109/25.231886

Cited by 51 publications

(26 citation statements)

References 9 publications

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“…(11). Furthermore, Z k (t) and Z l (t) are statistically independent for all k = l, due to the mutual independence of θ n,k , φ n,k , φ 0,k , θ n,l , φ n,l and φ 0,l when k = l.…”

Section: A Novel Rician Fading Simulatormentioning

confidence: 93%

Novel Sum-of-Sinusoids Simulation Models for Rayleigh and Rician Fading Channels

Xiao

Zheng

Beaulieu

2006

IEEE Trans. Wireless Commun.

168

101

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The statistical properties of Clarke's fading model with a finite number of sinusoids are analyzed, and an improved reference model is proposed for the simulation of Rayleigh fading channels. A novel statistical simulation model for Rician fading channels is examined. The new Rician fading simulation model employs a zero-mean stochastic sinusoid as the specular (line-ofsight) component, in contrast to existing Rician fading simulators that utilize a non-zero deterministic specular component. The statistical properties of the proposed Rician fading simulation model are analyzed in detail. It is shown that the probability density function of the Rician fading phase is not only independent of time but also uniformly distributed over [−π, π). This property is different from that of existing Rician fading simulators. The statistical properties of the new simulators are confirmed by extensive simulation results, showing good agreement with theoretical analysis in all cases. An explicit formula for the level-crossing rate is derived for general Rician fading when the specular component has non-zero Doppler frequency.

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“…(11). Furthermore, Z k (t) and Z l (t) are statistically independent for all k = l, due to the mutual independence of θ n,k , φ n,k , φ 0,k , θ n,l , φ n,l and φ 0,l when k = l.…”

Section: A Novel Rician Fading Simulatormentioning

confidence: 93%

Novel Sum-of-Sinusoids Simulation Models for Rayleigh and Rician Fading Channels

Xiao

Zheng

Beaulieu

2006

IEEE Trans. Wireless Commun.

168

101

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“…This model is defined for three indoor scenarios: When those MPCs are not resolvable, they contribute to the same tap in the CIR. Given this propagation characteristics, we assume that h m,n ptq has zero mean and that |h m,n ptq| is Nakagami distributed, with parameters m and Ω, for all m, n and t [37]. Recall that the m parameter in the Nakagami distribution is analogous to the K factor in the Rician distribution, and that a larger m implies a large power ratio between the central ray (specular component) and the other rays (diffuse components).…”

Section: A Channel Tap Distributionmentioning

confidence: 99%

Interference-nulling time-reversal beamforming for mm-Wave massive MIMO systems

Viteri-Mera

Teixeira

Sainath

2015

2015 IEEE International Conference on Microwaves, Communications, Antennas and Electronic Systems (COMCAS)

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Millimeter wave (mm-wave) and massive MIMO have been proposed for next generation wireless systems. However, there are many open problems for the implementation of those technologies. In particular, beamforming is necessary in mm-wave systems in order to counter high propagation losses.However, conventional beamsteering is not always appropriate in rich scattering multipath channels with frequency selective fading, such as those found in indoor environments. In this context, time-reversal (TR) is considered a promising beamforming technique for such mm-wave massive MIMO systems. In this paper, we analyze a baseband TR beamforming system for mm-wave multi-user massive MIMO.We verify that, as the number of antennas increases, TR yields good equalization and interference mitigation properties, but inter-user interference (IUI) remains a main impairment. Thus, we propose a novel technique called interference-nulling TR (INTR) to minimize IUI. We evaluate numerically the performance of INTR and compare it with conventional TR and equalized TR beamforming. We use a 60 GHz MIMO channel model with spatial correlation based on the IEEE 802.11ad SISO NLoS model. We demonstrate that INTR outperforms conventional TR with respect to average BER per user and achievable sum rate under diverse conditions, providing both diversity and multiplexing gains simultaneously. Index TermsThe authors are with the 2 Time-reversal, beamforming, mm-wave, massive MIMO, interference mitigation.

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“…orientation of the roads, buildings positions and the presence of hills, characterizes the profile delay of this place. Parsons and Dersh have shown [3][4] that a close relation exists between some obstacles and scatterers in the delay-Doppler scattering function (figure 1).This system is designed to work at UHF frequencies. In this work, 1 GHz (corresponding to a 30 cm wavelength) was used.…”

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confidence: 99%

Performance analysis of a multicarrier digital audio broadcasting system in a wide-band mobile radio environment

Leclerc

Fortier

Huynh

1994

Proceedings of Canadian Conference on Electrical and Computer Engineering CCECE-94

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Over the past few years, digital technologies have been growing in such a way that a new generation of audio broadcasting systems, fully digital, can now become cost effective. For this purpose Coded Orthogonal Frequency Division Multiplexing (COFDM) [1], a new transmission technique designed in Europe, is promising. In order to perform the evaluation of this system, we need an accurate channel model which takes into account the physical structure and the time varying nature of the propagation medium. The purpose of this work is to study the performances of COFDM using a wide band channel simulator based on the scattering function. 1.IntroductionThe realization of a high quality digital sound broadcasting system in a time varying selective frequency channel is possible with the development of good sound data compression algorithm and with the design of a high rate digital system. This system will have to resist to deep fades throughout the band and to offer a good spectrum efficiency. This work deals with performance evaluations of such a system. In order to analyze the performances of a communication system, we need to reproduce with precision the channel characteristics. In the first part of this paper, the multipath and time varying nature of the mobile radio propagation channel are briefly described. The influence of the physical channel structure on the UHF scattering electromagnetic waves viewed by the mobile receivers is discussed. This analysis leads to a mobile radio channel model based on the scattering function of the propagation medium.Digital technologies have been growing in such a way that more complex modulation systems are now feasible and can be cost effective. COFDM is such a technique. It combines a multicarrier modulator/demodulator, a convolutional coding system and a time-frequency interleaver. The purpose of the second part of this paper is to describe the COFDM system. The last part of this work presents the results obtained with our simulator. Several simulations have been carried out, each of them representing specific channel conditions. This gives a general idea of the system behavior. 2.Channel Modeling via the Scattering FunctionMultipath channels are an important class of channels which includes ionospheric, acoustic and mobile radio channels. In a multipath channel, the signal viewed at the receiver is a sum of the delayed paths of the transmitted signal (eq. 1). This sum can be constructive or destructive over all the band, which can result in severe deep fades.(1)As the receiver is moving, these paths are combining differently over time. This fluctuation is referred to as short time fast fading. Some paths appear and disappear with time. These variations lead to slow fading. In this work, we restrain our study to short time fading.When a receiver is moving with respect to the transmitter, the received signal is subjected to a frequency shift called Doppler shift. Assuming constant vehicle speed, the maximum Doppler shift is then given by the following relation:where v i...

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Simulations of the time and frequency selective outdoor mobile radio channel

Cited by 51 publications

References 9 publications

Novel Sum-of-Sinusoids Simulation Models for Rayleigh and Rician Fading Channels

Novel Sum-of-Sinusoids Simulation Models for Rayleigh and Rician Fading Channels

Interference-nulling time-reversal beamforming for mm-Wave massive MIMO systems

Performance analysis of a multicarrier digital audio broadcasting system in a wide-band mobile radio environment

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