| 1. |
- Destino, Giuseppe, et al.
(författare)
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Impact of Imperfect Beam Alignment on the Rate-Positioning Trade-Off
- 2018
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Ingår i: IEEE Wireless Communications and Networking Conference, WCNC. - 1525-3511. - 9781538617342 ; 2018-April
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Konferensbidrag (refereegranskat)abstract
- We consider the beam-training procedure in the future 5G millimeter-wave systems and collect position information based on the received signals. We analyze the degradation due to beam misalignment on the achievable rate and on the amount of information available for positioning. We evaluate the performance of two beam-training strategies, namely, exhaustive and hierarchical. Our results reveal new insights on the trade-off between positioning and communication performance.
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| 2. |
- Li, Zexian, et al.
(författare)
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5GCAR project D3.1 Intermediate 5G V2X Radio
- 2018
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Rapport (övrigt vetenskapligt/konstnärligt)abstract
- The 5GCAR project aims to contribute to 5G network design, and specifically to design V2X technology components for V2X use case classes identified in the project. The requirements on reliability, latency, data rates, spectral and energy efficiency cannot be fully supported by today’s wireless networks and V2X solutions and call for novel and innovative approaches, including the design of a new radio interface.
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| 3. |
- Saloranta, Jani, et al.
(författare)
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Comparison of different beamtraining strategies from a rate-positioning trade-off perspective
- 2017
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Ingår i: 2017 European Conference on Networks and Communications, EuCNC 2017; Oulu; Finland; 12 June 2017 through 15 June 2017. - 9781538638736
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Konferensbidrag (refereegranskat)abstract
- In next generation of mobile networks, the 5G, millimeter-wave communication is considered one of the key technologies. It allows high data rate as well as the utilization of large antennas for massive multiple-input-multiple-output (MIMO) and beamforming. However, it is mandatory that transmitter and receiver perform a training of their beams in order to gain all the benefits of a large array gain. In this paper, we study the impact of the beamtraining overhead on the data rate when an exhaustive or hierarchical strategy is used. Also, we show that the beamtraining phase can be used for positioning and, in this regard, we study the trade-off between positioning and data rate.
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| 4. |
- Shahmansoori, Arash, et al.
(författare)
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5G Position and Orientation Estimation through Millimeter Wave MIMO
- 2015
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Ingår i: IEEE Globecom Workshops. - 9781467395267
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Konferensbidrag (refereegranskat)abstract
- Millimeter wave and massive MIMO are considered enabling technologies for future 5G networks. While their benefits for achieving high-data rate communications are well-known, their potential advantages for accurate positioning are largely undiscovered. We derive sufficient conditions under which transmission from a single mm-wave base station leads to a non-singular Fisher information matrix associated with the position and orientation of a user terminal equipped with multiple antennas, which is in turn a prerequisite for joint estimation of the position and orientation.
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| 5. |
- Shahmansoori, Arash, et al.
(författare)
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Position and Orientation Estimation through Millimeter Wave MIMO in 5G Systems
- 2018
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Ingår i: IEEE Transactions on Wireless Communications. - 1558-2248 .- 1536-1276. ; 17:3, s. 1822-1835
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Tidskriftsartikel (refereegranskat)abstract
- Millimeter wave signals and large antenna arrays are considered enabling technologies for future 5G networks. While their benefits for achieving high-data rate communications are well-known, their potential advantages for accurate positioning are largely undiscovered. We derive the Cramér-Rao bound (CRB) on position and rotation angle estimation uncertainty from millimeter wave signals from a single transmitter, in the presence of scatterers. We also present a novel two-stage algorithm for position and rotation angle estimation that attains the CRB foraverage to high signal-to-noise ratio. The algorithm is based on multiple measurement vectors matching pursuit for coarse estimation, followed by a refinement stage based on the space-alternating generalized expectation maximization algorithm. We find that accurate position and rotation angle estimation is possible using signals from a single transmitter, in either line-of-sight, non-line-of-sight, or obstructed-line-of-sight conditions.
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| 6. |
- Shahmansoori, Arash, et al.
(författare)
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Tracking Position and Orientation Through Millimeter Wave Lens MIMO in 5G Systems
- 2019
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Ingår i: IEEE Signal Processing Letters. - 1070-9908 .- 1558-2361. ; 26:8, s. 1222-1226
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Tidskriftsartikel (refereegranskat)abstract
- Millimeter wave signals and large antenna arrays are considered enabling technologies for future 5G networks. Despite their benefits for achieving high data rate communications, their potential advantages for tracking of the location and rotation angle of the user terminals are not well investigated. A joint heuristic beam selection and user position and orientation tracking approach is proposed. First, the user location is tracked in the uplink by joint beam selection together with time-of-arrival (TOA) and angle-of-arrival (AOA) tracking at the base station (BS). Then, the user rotation angle is obtained using the location information by joint beam selection and tracking at the mobile station (MS). The beam selection, TOA and AOA tracking, at the BS and MS are performed during the data transmission phase. Numerical results demonstrate that the proposed method performs close to the estimated position and rotation angle in the training phase with reduced complexity and reduced number of required pilots for the estimation.
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| 7. |
- Talvitie, Jukka, et al.
(författare)
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High-Accuracy Joint Position and Orientation Estimation in Sparse 5G mmWave channel
- 2019
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Ingår i: IEEE International Conference on Communications. - 1550-3607. - 9781538680889 ; 2019-May
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Konferensbidrag (refereegranskat)abstract
- With the emergence of new 5G radio networks, high-accuracy positioning solutions are becoming extensively more important for numerous 5G-enabled applications and radio resource management tasks. In this paper, we focus on 5G mm-wave systems, and propose a method for high-accuracy estimation of the User Equipment (UE) position and antenna orientation. Based on the sparsity of the mm-wave channel, we utilize a compressive sensing approach for estimating the departure and arrival angles as well as the time-of-arrival for each observed radio propagation path. After this, in order to obtain statistical descriptions of the unknown parameters, we analytically derive a set of sampling distributions, which enable utilization of an iterative Gibbs sampling method. As shown by the obtained simulation results, the proposed method is able to achieve centimeter-level positioning accuracy with degree-level orientation accuracy, even in the absence of a line-of-sight path.
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| 8. |
- Talvitie, Jukka, et al.
(författare)
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Novel Algorithms for High-Accuracy Joint Position and Orientation Estimation in 5G mmWave Systems"
- 2017
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Ingår i: IEEE Global Communications Conference. - 9781538639207 ; Volume 2018-January, s. 960-966
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Konferensbidrag (refereegranskat)abstract
- We propose a method for accurate estimation of the User Equipment (UE) position and antenna orientation. For this, we exploit the sparsity of the mm-wave channel, and employ a compressive sensing approach with iterative refinement steps for accurate estimation of the channel parameters, including the departure and arrival angles as well as the time-of-arrival for each observed propagation path. Based on the estimated channel parameters, we formulate an iterative Gibbs sampler to obtain statistical descriptions for the unknown UE position and orientation along with the unknown scatterer positions, even in the absence of a Line-Of-Sight path.
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| 9. |
- Wymeersch, Henk, 1976, et al.
(författare)
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5G mmwave positioning for vehicular networks
- 2017
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Ingår i: IEEE Wireless Communications. - 1536-1284 .- 1558-0687. ; 24:6, s. 80-86
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Tidskriftsartikel (refereegranskat)abstract
- 5G technologies present a new paradigm to provide connectivity to vehicles, in support of high data-rate services, complementing existing inter-vehicle communication standards based on IEEE 802.11p. As we argue, the specific signal characteristics of 5G communication turn out to be highly conducive for vehicle positioning. Hence, 5G can work in synergy with existing on-vehicle positioning and mapping systems to provide redundancy for certain applications, in particular automated driving. This article provides an overview of the evolution of cellular positioning and discusses the key properties of 5G as they relate to vehicular positioning. Open research challenges are presented.
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