1,081 research outputs found
Framework for a Perceptive Mobile Network using Joint Communication and Radar Sensing
In this paper, we develop a framework for a novel perceptive mobile/cellular
network that integrates radar sensing function into the mobile communication
network. We propose a unified system platform that enables downlink and uplink
sensing, sharing the same transmitted signals with communications. We aim to
tackle the fundamental sensing parameter estimation problem in perceptive
mobile networks, by addressing two key challenges associated with sophisticated
mobile signals and rich multipath in mobile networks. To extract sensing
parameters from orthogonal frequency division multiple access (OFDMA) and
spatial division multiple access (SDMA) communication signals, we propose two
approaches to formulate it to problems that can be solved by compressive
sensing techniques. Most sensing algorithms have limits on the number of
multipath signals for their inputs. To reduce the multipath signals, as well as
removing unwanted clutter signals, we propose a background subtraction method
based on simple recursive computation, and provide a closed-form expression for
performance characterization. The effectiveness of these methods is validated
in simulations.Comment: 14 pages, 12 figures, Journal pape
Perceptive Mobile Network Based on Joint Communication and Radio Sensing
University of Technology Sydney. Faculty of Engineering and Information Technology.Radio networks have been evolving from communication-only wireless connectivity to a network for services, which will enable new business models and user experiences for emerging industrial applications. Many of these applications, including automotive, industrial automation, public safety and security tasks, will require information retrieval relating to mobile devices and objects through radio sensing. Radio sensing here refers to the process of information extraction for objects of interest in the surrounding environment that is covered by radio signals. We call the evolutionary mobile network with both communication and radio sensing functions as a perceptive mobile network. Such joint functions can be promoted as one of the core components in future 5G/6G standards.
The parametric values regarding moving objects, human movement, and any change in the environment surrounding the user equipment are embedded with the wireless signal and this enables the possibility of using the cellular signal for information extraction. As both wireless communication and radar system exhibit similar receiver front-end architecture at high frequency, it triggers the concepts of joint communication and radio sensing (JCAS) operation. In that circumstance, a unified platform can introduce shared hardware between two functions, which eventually implies reduced size, cost and weight. The main purpose of this doctoral study is to analyse the radio sensing capability of a mobile network and design the framework for joint operation. The thesis aims to design advanced signals and protocols that allow communications and sensing to be better implemented jointly and benefit from each other efficiently. An additional goal is to investigate the existing sensing parameter estimation processes and their suitability in signal processing for JCAS operation.
The thesis provides a general framework for the envisioned perceptive mobile networks that enable radio sensing using downlink and uplink mobile signaling, by considering future mobile network architecture and components, practical sophisticated communication signal format, and complicated signal propagation environment. The thesis discusses the required modifications and upgrades to existing mobile networks to facilitate JCAS functionalities. One and multi-dimensional compressive sensing techniques are successfully employed for estimating the parameters of the sensed scene, following the state of the art, by applying orthogonal frequency-division multiplexing (OFDM) based multi-user multiple-input multiple-output (MIMO) signal model. The simulated results presented here demonstrate reasonable performance in radio sensing using perceptive mobile networks. The research works shown in this thesis indicate the feasibility of the perceptive mobile network and provide a way to proceed
Sensing as a Service in 6G Perceptive Mobile Networks: Architecture, Advances, and the Road Ahead
Sensing-as-a-service is anticipated to be the core feature of 6G perceptive
mobile networks (PMN), where high-precision real-time sensing will become an
inherent capability rather than being an auxiliary function as before. With the
proliferation of wireless connected devices, resource allocation in terms of
the users' specific quality-of-service (QoS) requirements plays a pivotal role
to enhance the interference management ability and resource utilization
efficiency. In this article, we comprehensively introduce the concept of
sensing service in PMN, including the types of tasks, the
distinctions/advantages compared to conventional networks, and the definitions
of sensing QoS. Subsequently, we provide a unified RA framework in
sensing-centric PMN and elaborate on the unique challenges. Furthermore, we
present a typical case study named "communication-assisted sensing" and
evaluate the performance trade-off between sensing and communication procedure.
Finally, we shed light on several open problems and opportunities deserving
further investigation in the future
Integrated Sensing and Communications: Towards Dual-functional Wireless Networks for 6G and Beyond
As the standardization of 5G solidifies, researchers are speculating what 6G will be. The integration of sensing functionality is emerging as a key feature of the 6G Radio Access Network (RAN), allowing for the exploitation of dense cell infrastructures to construct a perceptive network. In this IEEE Journal on Selected Areas in Commmunications (JSAC) Special Issue overview, we provide a comprehensive review on the background, range of key applications and state-of-the-art approaches of Integrated Sensing and Communications (ISAC). We commence by discussing the interplay between sensing and communications (S&C) from a historical point of view, and then consider the multiple facets of ISAC and the resulting performance gains. By introducing both ongoing and potential use cases, we shed light on the industrial progress and standardization activities related to ISAC. We analyze a number of performance tradeoffs between S&C, spanning from information theoretical limits to physical layer performance tradeoffs, and the cross-layer design tradeoffs. Next, we discuss the signal processing aspects of ISAC, namely ISAC waveform design and receive signal processing. As a step further, we provide our vision on the deeper integration between S&C within the framework of perceptive networks, where the two functionalities are expected to mutually assist each other, i.e., via communication-assisted sensing and sensing-assisted communications. Finally, we identify the potential integration of ISAC with other emerging communication technologies, and their positive impacts on the future of wireless networks
Joint Communication and Radar Sensing in 5G Mobile Network by Compressive Sensing
© 2019 IEEE. There is growing interest in integrating communication and radar sensing into one system. However, very limited results are reported on how to realize sensing using complicated mobile signals when joint communication and radar sensing (JCAS) is applied to mobile networks. This paper studies radar sensing using one-dimension (1D) to 3D compressive sensing (CS) techniques, referring to signals compatible with latest fifth generation (5G) new radio (NR) standard. We demonstrate that radio sensing using both downlink and uplink 5G signals can be realized with reasonable performance using these CS techniques, and highlight the respective advantages and disadvantages of these techniques.
Sensing as a Service in 6G Perceptive Networks: A Unified Framework for ISAC Resource Allocation
In the upcoming next-generation (5G-Advanced and 6G) wireless networks,
sensing as a service will play a more important role than ever before.
Recently, the concept of perceptive network is proposed as a paradigm shift
that provides sensing and communication (S&C) services simultaneously. This
type of technology is typically referred to as Integrated Sensing and
Communications (ISAC). In this paper, we propose the concept of sensing quality
of service (QoS) in terms of diverse applications. Specifically, the
probability of detection, the Cramer-Rao bound (CRB) for parameter estimation
and the posterior CRB for moving target indication are employed to measure the
sensing QoS for detection, localization, and tracking, respectively. Then, we
establish a unified framework for ISAC resource allocation, where the fairness
and the comprehensiveness optimization criteria are considered for the
aforementioned sensing services. The proposed schemes can flexibly allocate the
limited power and bandwidth resources according to both S&C QoSs. Finally, we
study the performance trade-off between S&C services in different resource
allocation schemes by numerical simulations
Multi UAV-enabled Distributed Sensing: Cooperation Orchestration and Detection Protocol
This paper proposes an unmanned aerial vehicle (UAV)-based distributed
sensing framework that uses orthogonal frequency-division multiplexing (OFDM)
waveforms to detect the position of a ground target, and UAVs operate in
half-duplex mode. A spatial grid approach is proposed, where an specific area
in the ground is divided into cells of equal size, then the radar cross-section
(RCS) of each cell is jointly estimated by a network of dual-function UAVs. For
this purpose, three estimation algorithms are proposed employing the maximum
likelihood criterion, and digital beamforming is used for the local signal
acquisition at the receive UAVs. It is also considered that the coordination,
fusion of sensing data, and central estimation is performed at a certain UAV
acting as a fusion center (FC). Monte Carlo simulations are performed to obtain
the absolute estimation error of the proposed framework. The results show an
improved accuracy and resolution by the proposed framework, if compared to a
single monostatic UAV benchmark, due to the distributed approach among the
UAVs. It is also evidenced that a reduced overhead is obtained when compared to
a general compressive sensing (CS) approach
Cooperative multiterminal radar and communication: a new paradigm for 6G mobile networks
The impending spectrum congestion imposed by the emergence of new
bandwidth-thirsty applications may be mitigated by the integration of radar and
classic communications functionalities in a common system. Furthermore, the
merger of a sensing component into wireless communication networks has raised
interest in recent years and it may become a compelling design objective for
6G. This article presents the evolution of the hitherto separate radar and
communication systems towards their amalgam known as a joint radar and
communication (RADCOM) system. Explicitly, we propose to integrate a radio
sensing component into 6G. We consider an ultra-dense network (UDN) scenario
relying on an active multistatic radar configuration and on cooperation between
the access points across the entire coverage area. The technological trends
required to reach a feasible integration, the applications anticipated and the
open research challenges are identified, with an emphasis on high-accuracy
network synchronization. The successful integration of these technologies would
facilitate centimeter-level resolution, hence supporting compelling
high-resolution applications for next-generation networks, such as robotic cars
and industrial assembly lines.publishe
Optimal Coordinated Transmit Beamforming for Networked Integrated Sensing and Communications
This paper studies a multi-antenna networked integrated sensing and
communications (ISAC) system, in which a set of multi-antenna base stations
(BSs) employ the coordinated transmit beamforming to serve multiple
single-antenna communication users (CUs) and perform joint target detection by
exploiting the reflected signals simultaneously. To facilitate target sensing,
the BSs transmit dedicated sensing signals combined with their information
signals. Accordingly, we consider two types of CU receivers with and without
the capability of canceling the interference from the dedicated sensing
signals, respectively. In addition, we investigate two scenarios with and
without time synchronization among the BSs. For the scenario with
synchronization, the BSs can exploit the target-reflected signals over both the
direct links (BS-to-target-to-originated BS links) and the cross-links
(BS-to-target-to-other BSs links) for joint detection, while in the
unsynchronized scenario, the BSs can only utilize the target-reflected signals
over the direct links. For each scenario under different types of CU receivers,
we optimize the coordinated transmit beamforming at the BSs to maximize the
minimum detection probability over a particular targeted area, while
guaranteeing the required minimum signal-to-interference-plus-noise ratio
(SINR) constraints at the CUs. These SINR-constrained detection probability
maximization problems are recast as non-convex quadratically constrained
quadratic programs (QCQPs), which are then optimally solved via the
semi-definite relaxation (SDR) technique.Comment: arXiv admin note: text overlap with arXiv:2211.0108
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