Crowdsourcing-Assisted Radio Environment Database for V2V Communication

Katagiri, Kiyofumi; Sato, Koya; Fujii, Takeo

doi:10.3390/s18041183

Cited by 20 publications

(9 citation statements)

References 27 publications

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“…where P t is the transmitted power (dBm), K dB is the constant path-gain factor in dB units at a reference distance d 0 , α is the path-loss exponent, and d i is the distance between the vehicle location x i and the BS location. Note that, in this contribution, the small-scale fading effect is assumed to be averaged out by the receiver (see [31] for a discussion about this aspect). Hence, from now on, REM reconstruction or channel estimation in this paper will refer to the acquisition or estimation of the large-scale channel effects (only path-loss and shadowing values).…”

Section: Rem Reconstruction With Okmentioning

confidence: 99%

Application of Radio Environment Map Reconstruction Techniques to Platoon-based Cellular V2X Communications

Roger

Botella

Pérez-Solano

et al. 2020

Sensors

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Vehicle platoons involve groups of vehicles travelling together at a constant inter-vehicle distance, with different common benefits such as increasing road efficiency and fuel saving. Vehicle platooning requires highly reliable wireless communications to keep the group structure and carry out coordinated maneuvers in a safe manner. Focusing on infrastructure-assisted cellular vehicle to anything (V2X) communications, the amount of control information to be exchanged between each platoon vehicle and the base station is a critical factor affecting the communication latency. This paper exploits the particular structure and characteristics of platooning to decrease the control information exchange necessary for the channel acquisition stage. More precisely, a scheme based on radio environment map (REM) reconstruction is proposed, where geo-localized received power values are available at only a subset of platoon vehicles, while large-scale channel parameters estimates for the rest of platoon members are provided through the application of spatial Ordinary Kriging (OK) interpolation. Distinctive features of the vehicle platooning use case are explored, such as the optimal patterns of vehicles within the platoon with available REM values for improving the quality of the reconstruction, the need for an accurate semivariogram modeling in OK, or the communication cost when establishing a centralized or a distributed architecture for achieving REM reconstruction. The evaluation results show that OK is able to reconstruct the REM in the platoon with acceptable mean squared estimation error, while reducing the control information for REM acquisition in up to 64% in the best-case scenario.

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Section: Rem Reconstruction With Okmentioning

confidence: 99%

Application of Radio Environment Map Reconstruction Techniques to Platoon-based Cellular V2X Communications

Roger

Botella

Pérez-Solano

et al. 2020

Sensors

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“…A radio map is defined as a map that visualizes the spatial distribution of the received signal power values. A crowdsourcingassisted radio map has been the focus of research attention in recent years [7]- [12]. Fig.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Radio Map Using Statistical Hypothesis Testing

Katagiri

Sato

Inage

et al. 2021

IEEE Trans. Cogn. Commun. Netw.

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Private fifth-generation mobile communication networks (5G) have garnered considerable attention for providing various communication services. In private 5G systems, such as those employed in smart factories, it is necessary to appropriately manage the interference power among diverse systems because each nonpublic operator deploys a gNodeB in the local area and utilizes a similar allocated frequency. Several researchers have discussed the use of a radio map, which stores the spatial distribution of received signal power values as a tool for managing intra-system interference. Radio maps are typically applied to television white space, where the location of the base station (BS) is fixed and the average value of the received signal power exhibits time-invariant characteristics. However, in private 5G networks, the estimation accuracy using a conventional radio map is lowered because the location of the BS may be changed when the factory is rearranged. In this study, a database server is used to infer a significant difference in the average values of the received signal power by means of Welch's -test; the server then updates the radio map based on the test results. The simulation results indicate that the proposed method can detect changes in the BS location and update the radio map accurately.

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“…We propose to characterize interference at a given channel and location as a random variable, and REM to store proper interference distribution parameters. This solution allows for higher accuracy than typically used single-number interference characterization, e.g., by its mean power [27], [25], [26]. As the interference distribution at a given location will be estimated using a limited number of sensing reports, its accuracy can be insufficient.…”

Section: Introductionmentioning

confidence: 99%

“…• We propose to train Gaussian Mixture Models (GMMs) in order to model interference distribution in secondary spectrum channels. State-of-the-art Radio Environment Maps usually are designed so as they contain pairs of location-mean interference power [27], [25], [26]. This approach is sufficient while modeling interference from relatively stable sources, e.g., terrestrial television stations.…”

Section: Introductionmentioning

confidence: 99%

“…Among other state-of-theart clustering algorithms, DBSCAN has an ability to take into the account both close geographical distance between REM entries and similarities between interference distributions. Prior work related to the topic of REMs did not consider such an approach [27], [25], [26]. The procedure of DBSCAN clustering can be thought of as a process reverse to kriging [30].…”

Section: Introductionmentioning

confidence: 99%

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Frequency Selection for Platoon Communications in Secondary Spectrum Using Radio Environment Maps

Hoffmann,

Kryszkiewicz,

Kliks

2021

Preprint

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Platoon-based driving is an idea that vehicles follow each other at a close distance, in order to increase road throughput and fuel savings. This requires reliable wireless communications to adjust the speeds of vehicles. Although there is a dedicated frequency band for vehicle-to-vehicle (V2V) communications, studies have shown that it is too congested to provide reliable transmission for the platoons. Additional spectrum resources, i.e., secondary spectrum channels, can be utilized when these are not occupied by other users. Characteristics of interference in these channels are usually location-dependent and can be stored in the so-called Radio Environment Maps (REMs). This paper aims to design REM, in order to support the selection of secondary spectrum channel for intra-platoon communications. We propose to assess the channel's quality in terms of outage probability computed, with the use of estimated interference distributions stored in REM. A frequency selection algorithm that minimizes the number of channel switches along the planned platoon route is proposed. Additionally, the REM creation procedure is shown that reduces the number of database entries using (Density-Based Spatial Clustering of Applications with Noise) DBSCAN algorithm. The proposals are tested using real IQ samples captured on a real road. Application of the DBSCAN clustering to the constructed REM provided 7% reduction in its size. Utilization of the proposed channel selection algorithm resulted in a 35 times reduction of channel switches concerning channel assignment performed independently in every location.

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Crowdsourcing-Assisted Radio Environment Database for V2V Communication

Cited by 20 publications

References 27 publications

Application of Radio Environment Map Reconstruction Techniques to Platoon-based Cellular V2X Communications

Application of Radio Environment Map Reconstruction Techniques to Platoon-based Cellular V2X Communications

Dynamic Radio Map Using Statistical Hypothesis Testing

Frequency Selection for Platoon Communications in Secondary Spectrum Using Radio Environment Maps

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