Characterization of Broadband Mobile Communication Channel in 200MHz Band Based on Saleh-Valenzuela Model

Hiroki, Ohara; Sawada, Hirokazu; Oodo, Masayuki; Kojima, Fumihide; Harada, Hiroshi; Saito, Kentaro; Takada, Jun‐ichi

doi:10.1587/transcom.2017ebp3335

Cited by 2 publications

(12 citation statements)

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“…However, the actual multipath clustering algorithm and channel coefficient reproduction framework are incomplete. Thus, the feasibility of the concept in [16] is insufficient for the IEEE 802.22 system targeted in this study. Furthermore, owing to the different propagation characteristics in rural areas, the generated channel coefficient is not compatible with the IEEE 802.22 system in the UHF band.…”

Section: Introductionmentioning

confidence: 99%

“…However, these delay profiles were developed for fixed long-distance communications with the antenna of the terminal far from the ground; additionally, they are site-specific. Therefore, the WRAN channel models are not suitable for wide-area mobile NLOS environments for IoT and ITS applications [16].…”

Section: Introductionmentioning

confidence: 99%

“…Regarding the channel modeling framework, Ohara et al [16] provides a WRAN channel modeling scheme for various applications in a mobile NLOS urban environment in the VHF band. Similar to [17] and [18], an exponential power decay structure and a Poisson process were applied for the modeling.…”

Section: Introductionmentioning

confidence: 99%

“…A Saleh-Valenzuela (S-V) model-based multi-cluster stochastic channel model was applied to the model from measured delay profiles [26]. [16] measured channel characteristics with an orthogonal frequency division multiplexing (OFDM)-based signal in the VHF band with NLOS environment and showed that the received channel impulse responses (CIRs) follow the generalized extreme value (GEV) distribution. Then, [16] also proposed a method to extract channel factors, called multipath components (MPCs), that characterize the S-V model.…”

Section: Introductionmentioning

confidence: 99%

“…[16] measured channel characteristics with an orthogonal frequency division multiplexing (OFDM)-based signal in the VHF band with NLOS environment and showed that the received channel impulse responses (CIRs) follow the generalized extreme value (GEV) distribution. Then, [16] also proposed a method to extract channel factors, called multipath components (MPCs), that characterize the S-V model. This modeling scheme is widely applicable if CIRs are measured with mobile urban NLOS communications in the VHF band.…”

Section: Introductionmentioning

confidence: 99%

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Channel Measurement and Modeling Prototype for IEEE 802.22-Based Regional Area Networks

et al. 2021

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During the design and development of a reliable transceiver, its performance and robustness are evaluated using channel models that simulate the propagation channel characteristics in a real-world environment. In the case of wide-area communication systems in rural areas such as those based on TV white spaces, long delay multipath fading is one of the dominant factors impairing communication quality, and it is important to apply realistic multipath fading channel models in various application scenarios. Therefore, it is necessary to develop channel measurement and modeling systems that adaptively obtain channel factors and reflect multipath propagation characteristics in various wide-area communication environments. In this study, we developed a flexible channel measurement and modeling prototype applicable to mobile IEEE 802.22-based wide-area communication systems, which can be simply implemented by using programmable hardware and software. The prototype includes a new channel modeling framework that applies an improved double exponential slope model to extract the essential factors of multipath propagation characteristics. To validate the developed prototype, a fading emulator is applied to it to measure the raw data used for modeling. As a result, the multipath fading characteristics measured with the prototype were successfully modeled and reproduced by the proposed channel modeling framework with a high fitness of root mean square delay spread distribution. The derived bit error rate characteristics agreed better with the simulation results compared to the conventional channel model.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%