Wideband MIMO mobile impulse response measurements at 3.7 GHz

Batariere, M.D.; Blankenship, T.K.; Kepler, J.F.; Krauss, T.P.; Lisica, I.; Mukthavaram, S.; Porter, J.; Thomas, Timothy A.; Vook, F.W.

doi:10.1109/vtc.2002.1002657

Cited by 20 publications

(21 citation statements)

References 3 publications

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“…The average value of N for 12 measurements is 3.25, which is used in the model. And this value is also close to the measured result (N = 3.12) at 3.7 GHz in the suburban area as found by another organization [10].…”

Section: Diffracted Wave Regionsupporting

confidence: 91%

“…With regard to the parameters N and X σ , studies have been performed for the suburban over-rooftop propagation environment [9,10]. However, the model absorbs all of the variations of the path-loss characteristics due to the BS/MS antenna heights and other propagation environment factors into the parameters N and X σ .…”

Section: Boundary Point Modelmentioning

confidence: 99%

“…Therefore, if modeling is performed for N and X σ , the number of coefficient parameters with poor physical interpretations increases. The model becomes complex [9], cannot reflect the antenna height information [10], and provides poor estimation accuracy (when the value of X σ becomes large) [8]. In the subsequent sections of this paper, the propagation mechanism for the over-rooftop propagation environment is studied on the basis of the geometrical optics method.…”

Section: Boundary Point Modelmentioning

confidence: 99%

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Path loss prediction model for the over‐rooftop propagation environment of microwave band in suburban areas

Kita

Yamada

Satô

2006

Electron. Comm. Jpn. Pt. I

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SUMMARYIt is desirable that the method used for outdoor path loss estimation at microwave frequencies be one for which a worldwide consensus can be obtained through an ITU-R international standard. In this paper, a path loss prediction model for over-rooftop propagation environments is proposed for suburban areas. This model is based on the propagation mechanism explained by using the geometrical optics and consists of the direct wave region, the reflected wave region, and the diffracted wave region. The boundary points of these regions can be determined uniquely from the antenna height and building environment and all regions are continuously connected. Hence, high-precision estimation of the path loss can be estimated from the short-distance line-of-sight region to the far-field non-line-of-sight region. The proposed model is useful for channel design of microwave-band wireless access systems. Further, the method contributes to the ITU-R international standardization described above. Finally, it is shown that the measured path loss and the value estimated by the present model agree well at 2.2, 5.2, and 19.4 GHz.

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Section: Diffracted Wave Regionsupporting

confidence: 91%

Section: Boundary Point Modelmentioning

confidence: 99%

Section: Boundary Point Modelmentioning

confidence: 99%

See 1 more Smart Citation

Path loss prediction model for the over‐rooftop propagation environment of microwave band in suburban areas

Kita

Yamada

Satô

2006

Electron. Comm. Jpn. Pt. I

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“…For example, a narrowband MIMO channel sounder with 16 transmitting antennas and 16 receiving antennas was employed to measure the channel characteristics in Manhattan [2]. A 2 TX by 2 RX wideband orthogonal frequency division multiplexing (OFDM) channel sounder was used to measure channel-impulse responses in suburban Chicago [3]. An 8 TX by 8 RX virtual wideband MIMO channel sounder that used fast switches at both the TX and RX ends was utilized to probe the indoor MIMO channels in picocell environments [4].…”

Section: Introductionmentioning

confidence: 99%

“…Also, low-permittivity materials such as air have been utilized as dielectric substrates in order to improve the bandwidth, as described below. It has been shown that the bandwidth of a U-slot microstrip antenna and an E-shaped patch antenna can reach 30% to 40% [2,3]. An operational bandwidth of 95% for a 3D microstrip antenna has been investigated [4].…”

Section: Introductionmentioning

confidence: 99%

Wideband MIMO measurements of outdoor NLOS channels

Yang

Líu

2005

Micro & Optical Tech Letters

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ABSTRACT:The measurement results of the wideband wireless multiple-input multiple-output ( MIMO) INTRODUCTIONMultiple-input multiple-output (MIMO) communication systems with multiple antennas at both the transmitter (TX) and the receiver (RX) ends have shown the potential of increased capacity in wireless channels. Realistic MIMO channels, however, usually contain some degree of spatial correlation among the multiple transmitting and receiving antennas. Consequently, the practical capacity may be lower than that expected from theoretical considerations [1]. During the past few years, researchers have used different ways to measure MIMO channel features. For example, a narrowband MIMO channel sounder with 16 transmitting antennas and 16 receiving antennas was employed to measure the channel characteristics in Manhattan [2]. A 2 TX by 2 RX wideband orthogonal frequency division multiplexing (OFDM) channel sounder was used to measure channel-impulse responses in suburban Chicago [3]. An 8 TX by 8 RX virtual wideband MIMO channel sounder that used fast switches at both the TX and RX ends was utilized to probe the indoor MIMO channels in picocell environments [4]. This paper presents the results of wideband wireless MIMO channel measurements with a true array channel sounder. Wideband MIMO channel measurement poses a challenge due to the high-data-acquisition requirement. Our system uses spread spectrum to simultaneously transmit multiple pseudo-random signals. Multiple receivers then receive the transmitted signals simultaneously. Such a system can most faithfully capture the wideband MIMO channel features in a real environment. A series of field measurements under non-line-of-sight (NLOS) scenarios is conducted at the J. J. Pickle Research Campus, the University of Texas at Austin. From the raw channel data, power delay profiles are extracted based on the cross-correlation property between the transmitted and received signals. MIMO channel capacities are then calculated from the measured channel data and compared with the independent, identically distributed (iid) channel simulation. MEASUREMENT SETUPOur wideband channel sounder consists of four transmitters and eight receivers that operate at a carrier frequency of 1.8 GHz. Each transmitter transmits the shifted version of a pseudo-random signal with a bandwidth of 2.5 MHz. The data length of a period of the TX sequence is 752. The four TX data sequences are simultaneously converted into analog baseband signals via four digitalto-analog converters and a field-programmable grid array. They are then mixed with an intermediate frequency (IF) local oscillator signal, and upconverted into radio frequency (RF) signals at 1.8 GHz. In the RX testbed, the RF signals are first down-converted to IF signals at 138.625 MHz, and then demodulated into baseband signals. Eight pairs of in-phase and quadrature-phase baseband signals are sent to four National Instruments data acquisition cards (PCI-6115). The sampling rate of the analog-to-digital converter is 10 MHz. The baseban...

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MIMO Wireless Channel Modeling and Experimental Characterization

Jensen

Wallace

2005

Space‐Time Processing for MIMO Communications

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Wideband MIMO mobile impulse response measurements at 3.7 GHz

Cited by 20 publications

References 3 publications

Path loss prediction model for the over‐rooftop propagation environment of microwave band in suburban areas

Path loss prediction model for the over‐rooftop propagation environment of microwave band in suburban areas

Wideband MIMO measurements of outdoor NLOS channels

MIMO Wireless Channel Modeling and Experimental Characterization

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