Positioning for User Equipment of a mmWave System Using RSSI and Stereo Camera Images

Mihara, Shoichiro; Ito, Satoshi; Murakami, Takahide; Shinbo, Hiroyuki

doi:10.1109/wcnc49053.2021.9417559

Cited by 7 publications

(10 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The DU calculates the optimal beamformer for robust CoMP transmission with the aid of the blockage prediction [18,19], which is depicted in (h). Note that this prediction is realized by the side information obtained by cameras installed on every RU [20][21][22] or sub-6 GHz signals [23,24], and the algorithm, which is based on machine learning, predicts either the instantaneous blockage or the probabilities of blockage occurring for every UE, details of which are provided in Section 4. The obtained beamformers are then delivered to the corresponding RUs, as shown in (i), and uplink or downlink transmission is performed as in (j).…”

Section: Data Transmissionmentioning

confidence: 99%

User-Centric Design of Millimeter Wave Communications for Beyond 5G and 6G

Ishibashi

Hara

Uchimura

et al. 2022

IEICE Trans. Commun.

Self Cite

View full text Add to dashboard Cite

In this paper, we propose new radio access network (RAN) architecture for reliable millimeter-wave (mmWave) communications, which has the flexibility to meet users' diverse and fluctuating requirements in terms of communication quality. This architecture is composed of multiple radio units (RUs) connected to a common distributed unit (DU) via fronthaul links to virtually enlarge its coverage. We further present grant-free non-orthogonal multiple access (GF-NOMA) for lowlatency uplink communications with a massive number of users and robust coordinated multi-point (CoMP) transmission using blockage prediction for uplink/downlink communications with a high data rate and a guaranteed minimum data rate as the technical pillars of the proposed RAN. The numerical results indicate that our proposed architecture can meet completely different user requirements and realize a user-centric design of the RAN for beyond 5G/6G.

show abstract

Section: Data Transmissionmentioning

confidence: 99%

User-Centric Design of Millimeter Wave Communications for Beyond 5G and 6G

Ishibashi

Hara

Uchimura

et al. 2022

IEICE Trans. Commun.

Self Cite

View full text Add to dashboard Cite

show abstract

“…A UE localization estimation method using camera images and RSSI was proposed [34]. The information used for location estimation is similar to the method proposed by the authors in [8], while the estimation method is different. In [34], the UE location is estimated by estimating the Fresnel ellipse.…”

Section: Proposed Tracking With Vision and Rssimentioning

confidence: 99%

“…First, we must identify the object holding the UE (i.e., the UE holder) and then track the UE holder. To achieve this, we proposed a method of estimating the UE position triggered by mmWave blockage [8] that uses RGB-D camera images and radio information acquired on the BS side. The position of the UE can be estimated with an accuracy of approximately 0.6 m when the UE is occluded by moving objects several times.…”

Section: Introductionmentioning

confidence: 99%

“…The proposed method can compensate for the drawback that visual tracking tends to fail when the UE is occluded and allows the UE to be located continuously, even in a crowded environment. The proposed method uses a metric that combines RSSI and the occlusion in the RGB-D camera image, which is the same as the UE position estimation in [8]. This has the advantage of simplifying the system configuration because a common metric can be used for both UE position estimation and tracking.…”

Section: Introductionmentioning

confidence: 99%

“…This has the advantage of simplifying the system configuration because a common metric can be used for both UE position estimation and tracking. In addition, as reported in [8], we use only the information from the BS side, which is different from the prior work [6]. The advantage of this process is that the proposed method is not limited by the sensing ability or the processing capability of the UE.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

User Equipment Tracking for a Millimeter Wave System Using Vision and RSSI

Mihara

Murakami

Yamaguchi

et al. 2022

IEEE Open J. Commun. Soc.

Self Cite

View full text Add to dashboard Cite

In a mobile millimeter wave (mmWave) communication system, blockages cause disconnections or serious degradation of communications. Several techniques have been proposed to control radio links between multiple base stations based on blockage prediction using camera images to avoid these problems. However, blockage prediction requires continuously determining the position of user equipment (UE) with decimeter precision, which is difficult when sensors and resources on the UE side are not available, and there are many moving objects around the UE. To resolve this problem, we propose a UE tracking method that uses a received signal strength indicator (RSSI) and RGB-D camera images from the base station. The proposed method consists of a combination of visual tracking and reidentification of the UE using radio information and camera images. We use the synchronization of the RSSI variation with the occlusion on the image by movements of the UE and objects for reidentification. We evaluated the proposed method experimentally in an outdoor environment by simulating a communication area formed by mmWave band base stations. The proposed method achieved an 11.5% improvement in tracking accuracy compared with conventional visual tracking.INDEX TERMS Image analysis, millimeter wave communication, object tracking,

show abstract

Survey on positioning information assisted mmWave beamforming training

Nor¹,

Halunga²

2022

Ad Hoc Networks

View full text Add to dashboard Cite

Positioning for User Equipment of a mmWave System Using RSSI and Stereo Camera Images

Cited by 7 publications

References 18 publications

User-Centric Design of Millimeter Wave Communications for Beyond 5G and 6G

User-Centric Design of Millimeter Wave Communications for Beyond 5G and 6G

User Equipment Tracking for a Millimeter Wave System Using Vision and RSSI

Survey on positioning information assisted mmWave beamforming training

Contact Info

Product

Resources

About