A 38 GHz cellular outage study for an urban outdoor campus environment

Murdock, James N.; Ben-Dor, Eshar; Qiao, Yijun; Tamir, Jonathan I.; Rappaport, Theodore S.

doi:10.1109/wcnc.2012.6214335

Cited by 94 publications

(57 citation statements)

References 18 publications

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“…S t a r tC D T // count down in nanoseconds (10) if CDT == 0 then (11) for ≤ do (12) B S u s e s n e x t m + based on initial location , + Train uses w + based on initial location , +…”

Section: High Speed Train Beamforming Selection Schemementioning

confidence: 99%

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Feasibility Studies on the Use of Higher Frequency Bands and Beamforming Selection Scheme for High Speed Train Communication

Laiyemo

Luoto

Pirinen

2017

Wireless Communications and Mobile Computing

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With increasing popularity of high speed trains and traffic forecast for future cellular networks, the need to provide improved data rates using higher frequency bands (HFBs) for train passengers is becoming crucial. In this paper, we modify the OFDM frame structure for HST, taking into account the increasing sensitivity to speed at HFBs. A lower bound on the SNR/SINR for a given rate for reliable communication was derived considering the physical layer parameters from the OFDM frame. We also analyze different pathloss models in the context of examining the required gain needed to achieve the same performance as with microwave bands. Finally, we present a time-based analogue beamforming selection approach for HST. We observed that, irrespective of the pathloss models used, the required gains are within the same range. For the same SNR/SINR at different frequency bands, the achievable data rate varies with respect to the frequency bands. Our results show the potential of the use of HFBs. However, due to the increased sensitivity of some channel parameters, a maximum frequency band of 38 GHz is suggested. Evaluation of our proposed beamforming scheme indicates a close performance to the optimal SVD scheme with a marginal rate gap of less than 2 b/s/Hz.

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“…S t a r tC D T // count down in nanoseconds (10) if CDT == 0 then (11) for ≤ do (12) B S u s e s n e x t m + based on initial location , + Train uses w + based on initial location , +…”

Section: High Speed Train Beamforming Selection Schemementioning

confidence: 99%

“…Advances in modular antenna array technology allow the creation of large antenna array with high gain in a cost effective and scalable manner [9]. Furthermore, the measurements campaign in [5,[10][11][12], showed that the mm-wave band can be a good candidate for the next generation 5G cellular systems, with a focus on urban environment.…”

Section: Introductionmentioning

confidence: 99%

Feasibility Studies on the Use of Higher Frequency Bands and Beamforming Selection Scheme for High Speed Train Communication

Laiyemo

Luoto

Pirinen

2017

Wireless Communications and Mobile Computing

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“…Considering the limited scattering nature of the mmWave channel [14] , we adopt a geometric channel model with L dominant scatterers where each scatterer is assumed to contribute a single propagation path between the BS and MS [2] . L is a statistics mean and we assume it is resolved.…”

Section: Journal Of Communications and Information Network 38mentioning

confidence: 99%

“…An adaptive channel estimation algorithm for millimeter wave cellular systems (14) where | | is the 2D-DFT of and each element obeys the complex Gaussian distribution According to the poor scattering nature of the mmWave channel [6] , only few angles, namely the AoAs and AoDs of the paths, have large energies; other angles are near zero energy. Hence, the matrix has the following features: 1) the values at the positions corresponding to the AoAs and AoDs are large, appearing to be "peaks"; 2) other values are near zero.…”

Section: Journal Of Communications and Information Network 38mentioning

confidence: 99%

An adaptive channel estimation algorithm for millimeter wave cellular systems

Zou

2016

J. Commun. Inf. Netw.

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Abstract:The large bandwidth available with mmWave (millimeter Wave) makes it a promising candidate for 5th generation cellular networks. Proper channel estimation algorithms must be developed to enable beamforming in mmWave systems. In this paper, we propose an adaptive channel estimation algorithm that exploits the poor scattering nature of the mmWave channel and adjusts the training overhead adaptively with the change of channel quality for mmWave cellular systems. First, we use a short training sequence to estimate the channel parameters based on the two-dimensional discrete Fourier transform method.Then, we design a feedback scheme to adjust the length of the training sequence under the premise of ensuring the accuracy of WKH FKDQQHO HVWLPDWLRQ 7KH NH\ WKUHVKROG LQ WKH IHHGEDFN VFKHPH LV GHULYHG DQG LWV LQÀXHQFH RQ WKH DFFXUDF\ RI WKH HVWLPDWLRQ results is analyzed. Simulation results confirm that the proposed algorithm can adjust the length of the training sequence adaptively according to the current channel condition maintaining a stable estimation accuracy.

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“…Thus, according to [2], the "millimeter wave (mmW) interface" is considered as one of the five potentially disruptive technologies and approaches that could lead to both architectural and component design to serve as basis for the 5G cellular network. Authors in [3][4][5][6][7][8], have presented substantial practices for the new high capacity mmW cellular systems, providing extreme capacity through the huge amount of the available spectrum in the mmW bands (28 GHz -300 GHz).…”

Section: Introductionmentioning

confidence: 99%