Medium- and Large-Scale Characterization of UMTS-Allocated Frequency Division Duplex Channels

Salous, Sana; Gökalp, Hülya

doi:10.1109/tvt.2007.900495

Cited by 23 publications

(11 citation statements)

References 17 publications

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“…The propagation measurements were previously carried out in Manchester city centre within the middle 20 MHz section 2110-2170 MHz band using a CHIRP sounder. Details of the sounder and the measurements can be found in [15]. Five different frequency selective channels that represent mild, moderate, and strong multipath spreads are chosen, and these data are referred to as Channel 1 (Ch1), Channel 2 (Ch2), Channel 3 (Ch3), Channel 4 (Ch4), and Channel 5 (Ch5).…”

Section: Analysis and Resultsmentioning

confidence: 99%

Approach for determining the optimum pilot placement in orthogonal frequency division multiplexing systems

2015

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One of the major concerns in wireless communications is multipath fading that causes some adverse effects and significantly limits the performance of a system. To overcome these effects in orthogonal frequency division multiplexing, system channel estimation must be performed. Pilot arrangement is very crucial in pilot aided channel estimation. There is an inevitable trade-off between the number of pilot symbols used in channel estimation, the accuracy of such estimation, and spectral efficiency. In this study, the analytical formulation of the channel estimation mean squared error based on a channel's sampled power density is presented. A novel mathematical rule for the optimum pilot symbol interval and a novel adaptive pilot placement are proposed to improve channel estimation quality and bandwidth efficiency. The optimum pilot symbol intervals which are related to channels' coherence times and coherence bandwidths can be calculated easily with the use of the proposed method. As the proposed method effectively reduces the number of searches for the optimum pilot symbol interval, it gives rise to simply constructing adaptive pilot placement in realtime systems. Compared with fixed pilot placement, the proposed adaptive placement shows obvious improvement up to 6% in bandwidth efficiency while maintaining the bit error rate performance.

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Section: Analysis and Resultsmentioning

confidence: 99%

Approach for determining the optimum pilot placement in orthogonal frequency division multiplexing systems

2015

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“…Feuerstein et al (1994), Greenstein et al (1997), and Salous and Gokalp (2007) conducted relevant research that relates RMS delay spread to path loss. The authors pointed out that RMS delay spread increases exponentially with the path loss.…”

Section: Cross-correlation Propertymentioning

confidence: 99%

Indoor massive multiple-input multiple-output channel characterization and performance evaluation

et al. 2017

Frontiers Inf Technol Electronic Eng

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We present a measurement campaign to characterize an indoor massive multiple-input multiple-output (MIMO) channel system, using a 64-element virtual linear array, a 64-element virtual planar array, and a 128-element virtual planar array. The array topologies are generated using a 3D mechanical turntable. The measurements are conducted at 2, 4, 6, 11, 15, and 22 GHz, with a large bandwidth of 200 MHz. Both line-of-sight (LOS) and non-LOS (NLOS) propagation scenarios are considered. The typical channel parameters are extracted, including path loss, shadow fading, power delay profile, and root mean square (RMS) delay spread. The frequency dependence of these channel parameters is analyzed. The correlation between shadow fading and RMS delay spread is discussed. In addition, the performance of the standard linear precoder-the matched filter, which can be used for intersymbol interference (ISI) mitigation by shortening the RMS delay spread, is investigated. Other performance measures, such as entropy capacity, Demmel condition number, and channel ellipticity, are analyzed. The measured channels, which are in a rich-scattering indoor environment, are found to achieve a performance close to that in independent and identically distributed Rayleigh channels even in an LOS scenario.

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“…2). Looking the at noise floor levels from the MUSIC and EV methods, one would not expect to detect the multipath components below -20dB, and it is possible that the component with -17 dB relative power and 14 us time delay may be even weaker for this interference-corrupted section [3]. …”

Section: Channel 1 Datamentioning

confidence: 99%

Reduction of In-Band Interferences’ Effect Using Subspace Algorithms in Radio Channel Data

Ercan

Gökalp²

2016

International Journal of Applied Mathematics, Electronics and Computers

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Abstract:In-band interference increases the noise floor of delay profiles estimated from frequency modulated continuous wave (FMCW) sounder channel data and prevents weak multipath components from being detected. In this study two of the subspace methods named MUltiple SIgnal Classification (MUSIC) and EigenVector (EV) algorithm were used to reduce the effect of interference in delay profiles obtained from an FMCW channel data, and the results are compared with those from conventional FFT method. Results show that MUSIC and EV methods have similar results for time delay estimation, and perform better than the FFT method.

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Medium- and Large-Scale Characterization of UMTS-Allocated Frequency Division Duplex Channels

Cited by 23 publications

References 17 publications

Approach for determining the optimum pilot placement in orthogonal frequency division multiplexing systems

Approach for determining the optimum pilot placement in orthogonal frequency division multiplexing systems

Indoor massive multiple-input multiple-output channel characterization and performance evaluation

Reduction of In-Band Interferences’ Effect Using Subspace Algorithms in Radio Channel Data

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