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High throughput and ultra low latency are the main requirements for fifth generation (5G) mobile broadband communications. Densely populated urban environments require utilization of previously underutilized millimeter wave frequency spectrum for higher data rates. The Ka-band, previously used in satellite applications, is of particular interest to terrestrial 5G mobile networks. New radio solutions...
In addition to high data rate, millimeter-wave technology has great potential to provide extremely high localization accuracy. In this paper, we outline the benefits of this technology for positioning and their main applications, which are no longer confined to services only but also to improve communication. We shall focus on the trade-off between data communication and positioning looking the reconfiguration...
This paper describes the first available 5G testbeds as designed by 5G CHAMPION, a collaborative research project undertaken by over twenty consortium members and targeting the provision of 5G services at the 2018 Winter Olympics in Korea. In order to provide 5G services such as augmented reality (AR), virtual reality (VR), high quality, interactive multi-player video games, the testbeds shall fulfill...
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 the next generation of mobile network, 5G, mm-wave (mmW) communication is considered one of the main disruptive technologies to increase data rates and improve spectrum efficiency. Wireless backhaul with stationary or moving nodes is one of the best candidate use-cases. This paper provides a comprehensive analysis on the architecture and design of mmW transceiver with automatic gain control (AGC)...
millimeter wave (mmW) communication systems have the potential to increase data rates with low-latency, highly directional communication links. Due to the geometric nature of the propagation, mmW signals can also be used for accurate positioning. This paper explores the trade-off between communication rate and positioning quality in mmW systems. We show how rate and positioning quality interact as...
The 5G CHAMPION Consortium will provide the first fully integrated and operational 5G prototype in 2018 - this effort is a major leap ahead compared to existing punctual technology trials, such as, e.g., Proof-of-Concept platforms focusing on mmWave communication in specific bands, etc. This paper describes the overall set-up including a synergetic combination of technologies such as beamforming based...
We consider the problem of 3D multiple-input-multiple-output (MIMO) orthogonal frequency-division multiplexing (OFDM) channel estimation, a key for the future development of 3D beamforming techniques. Our main contribution is a novel algorithm, namely the adaptive-LASSO, that can jointly exploit the sparsity structure of the MIMO-OFDM channel in the spatial and delay domains. The algorithm is designed...
Recent results have revealed that MIMO channels at high carrier frequencies exhibit sparsity structure, i.e., a few dominant propagation paths. Also channel parameters, namely angular information and propagation delay can be modelled with the physical location of the transmitter, receiver and scatters. In this paper, we leverage these features into the development of a single base-station localization...
Recent results have revealed that massive multiple-input-multiple-output (MIMO) channels exhibit a sparse structure. In this paper, we leverage this feature into the development of a novel channel estimation algorithm, namely, the Adaptive-Least Absolute Shrinkage and Selection Operator (A-LASSO), in which the sparsifying matrix (dictionary) and the sparse vector are jointly optimized. The key ingredients...
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...
We consider the problem of mapping the locations of a mobile device into the Euclidean space utilizing its perception of the environment through sensors, e.g., Wi-Fi. We formulate the estimation problem as a less-effort dynamic fringerprint technique, which capitalizes to non-convex optimization problem. Specifically, we leverage spatial correlation models and properties of the Euclidean Distance...
In this paper the up-link channel estimation problem in a multi-cell network with a Single-Input-Multiple-Output (SIMO) fading correlated channel and finite-length, nonorthogonal and contaminated pilots is considered. Our contribution is a novel channel estimation technique, referred to as the Sparse Channel Estimator (SCE), which exploits the Karhunen-Loéve Transform (KLT) sparse-representation of...
Although during the last decade considerable efforts have been invested in the integration of different wireless technologies, a new surge of interest is arising due to the upcoming internet of things (IoT) in which many relevant application scenarios rely on location information. However, due to the heterogeneity of the devices, ergo the heterogeneity of information available, novel indoor positioning...
Motivated by the recent advances on internet of things (IoT) and the importance that location information has on many application scenarios, this article offers references to theoretical and localization-algorithmic tools that can be utilised in connection with IoT. We develop this discussion from basic to sophisticated localization techniques covering also some less-intuitive notions of localization,...
Semantic positioning is a new paradigm emerging with the Internet-of-Things (IoT) technology and its application to context-aware services in smart-spaces. Specifically, it refers to the problem of detecting user actions and locations based on prior characterization of the space and sensed data. Differently from classic positioning, input data are measurements of the interaction between human and...
We consider a localization problem of multiple sources from range and angle measurements. To exploit the heterogeneity of the information we formulate the problem as an optimization over an edge-kernel matrix, in which angle and distance information are decoupled. The algorithm consists of estimating the Euclidean structure of the network by means of the angle-kernel (Euclidean kernel derived from...
This tutorial offers a comprehensive view of technological solutions and theoretical fundamentals of localization and tracking (LT) systems for wireless networks. We start with a brief classification of the most common types of LT systems, e.g. active versus passive technologies, centralized versus distributed solutions and so forth. To continue, we categorize the LT techniques based on the elementary...
Solving the distance-based network localization problem typically entails the formulation of an equivalent optimization problem which is either convex but sub-optimal, or optimal (i.e., maximum-likelihood) but non-convex. We show that the non-convexity implied by the choice of an optimal formulation need not be translated onto high computational complexity nor to performance degradation. To this end,...
In this paper we present the multihop-approach as a complexity and energy-efficient alternative to the classical message-passing scheme in distributed localization for wireless sensor networks (WSNs). While it is the approach currently most often considered for cooperative localization, message-passing localization algorithms (MPLAs) rely on the “diffusion” of the known location of a few nodes (anchors)...
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