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Array Resource Allocation for Radar and Communication Integration Network

Zhenkai Zhang, Hamid Esmaeili Najafabadi, Henry Leung
<span title="">2020</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/63drx5tykbartetpkracmzzfwu" style="color: black;">Signal Processing</a> </i> &nbsp;

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<span title="2020-10-07">2020</span> <span class="release-stage" >pre-print</span> <span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2010.03690v1">arXiv:2010.03690v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/mbhgkqafx5bvpn7hh6m5tz36si">fatcat:mbhgkqafx5bvpn7hh6m5tz36si</a> </span>
A radar and communication integration (RCI) system has great flexibility in allocating antenna resources to guarantee both radar and communication performance.  ...  In this paper, we firstly build a localization and communication model for array allocation in an RCI network.  ...  As a result, Algorithm 1 can obtain an optimal array of resource allocation in different radar and communication integration networks.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.sigpro.2020.107701">doi:10.1016/j.sigpro.2020.107701</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/jstpz6rbwnc4no27tr3edogzaq">fatcat:jstpz6rbwnc4no27tr3edogzaq</a> </span>
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Citation

Zhenkai Zhang, Hamid Esmaeili Najafabadi, Henry Leung. "Array Resource Allocation for Radar and Communication Integration Network." Signal Processing (2020) 107701

Reinforcement Learning-Based UAVs Resource Allocation for Integrated Sensing and Communication (ISAC) System

Min Wang, Peng Chen, Zhenxin Cao, Yun Chen
<span title="">2022</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ikdpfme5h5egvnwtvvtjrnntyy" style="color: black;">Electronics</a> </i> &nbsp;

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The use of an integrated sensing and communication (ISAC) system can make communication and radar modules share a radar module's resources, coupled with efficient resource allocation methods.  ...  We formulate a new reward function by combining mutual information (MI) and the communication rate (CR). The MI describes the radar detection performance, and the CR is for wireless communication.  ...  the resource allocation method for radar detection [35] is given.  ... 
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Min Wang, Peng Chen, Zhenxin Cao, Yun Chen. "Reinforcement Learning-Based UAVs Resource Allocation for Integrated Sensing and Communication (ISAC) System." Electronics 11.441 (2022) 441

Joint Design of Communication and Sensing for Beyond 5G and 6G Systems

Thorsten Wild, Volker Braun, Harish Viswanathan
<span title="">2021</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/q7qi7j4ckfac7ehf3mjbso4hne" style="color: black;">IEEE Access</a> </i> &nbsp;

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ACKNOWLEDGMENT The authors like to acknowledge the helpful discussions of RF aspects with their Nokia colleagues Shahriar Shahramian and Marko Fleischer.  ...  FIGURE 2 . 2 Drivers for integrated communications and sensing in mobile networks.  ...  FIGURE 3 . 3 Antenna constellation with a) full array gain for communications and b) array partitioning for radar.  ... 
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Thorsten Wild, Volker Braun, Harish Viswanathan. "Joint Design of Communication and Sensing for Beyond 5G and 6G Systems." IEEE Access (2021) 1-1

Cooperative Passive Coherent Location: A Promising 5G Service to Support Road Safety [article]

Reiner S. Thomä, Carsten Andrich, Giovanni Del Galdo, Michael Döbereiner, Matthias A. Hein, Martin Käske, Günter Schäfer, Steffen Schieler, Christian Schneider, Andreas Schwind, Philip Wendland
<span title="2019-07-10">2019</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>

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<span title="2018-03-04">2018</span> <span class="release-stage" >pre-print</span>
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<span title="2018-02-12">2018</span> <span class="release-stage" >pre-print</span>
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<span title="2018-03-14">2018</span> <span class="release-stage" >pre-print</span>
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<span title="2019-10-01">2019</span> <span class="release-stage">accepted</span>
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1802.04041v8">arXiv:1802.04041v8</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/vxx26q2q2jb4xhse7gnxlttdze">fatcat:vxx26q2q2jb4xhse7gnxlttdze</a> </span>
<span title="2019-03-27">2019</span> <span class="release-stage" >pre-print</span>
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CPCL comes as an inherent part of the radio network and takes advantage of the most important key features proposed for 5G.  ...  By using software-defined radio and network paradigms, as well as real-time mobile edge computing facilities intended for 5G, CPCL promises to become a ubiquitous radar service which may be adaptive, reconfigurable  ...  Therefore, PCL does not allow adaptive radio resource allocation and for data fusion it needs a separate communication network.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1802.04041v7">arXiv:1802.04041v7</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/u7j23azx5jcg5pb46c2yk7gf7q">fatcat:u7j23azx5jcg5pb46c2yk7gf7q</a> </span>
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Citation

Reiner S. Thomä, Carsten Andrich, Giovanni Del Galdo, Michael Döbereiner, Matthias A. Hein, Martin Käske, Günter Schäfer, Steffen Schieler, Christian Schneider, Andreas Schwind, Philip Wendland. "Cooperative Passive Coherent Location: A Promising 5G Service to Support Road Safety." arXiv (2019)

Design and Performance Evaluation of Joint Sensing and Communication Integrated System for 5G MmWave Enabled CAVs [article]

Qixun Zhang, Xinna Wang, Zhenhao Li, Zhiqing Wei
<span title="2021-08-25">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>

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<span title="2021-08-24">2021</span> <span class="release-stage" >pre-print</span>
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In this paper, a joint sensing and communication integrated system (JSCIS) is designed to support the dynamic frame structure configuration for sensing and communication dual functions based on the 5G  ...  To evaluate the timeliness of raw sensing data transmission, the best time duration allocation ratio of sensing and communication dual functions for one vehicle is achieved by modeling the M/M/1 queuing  ...  But, the radar and communication integrated system faces the challenging problem of complex interactions of sensing and communication signal.  ... 
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Citation

Qixun Zhang, Xinna Wang, Zhenhao Li, Zhiqing Wei. "Design and Performance Evaluation of Joint Sensing and Communication Integrated System for 5G MmWave Enabled CAVs." arXiv (2021)

Editorial: Introduction to the Issue on Joint Communication and Radar Sensing for Emerging Applications

Christos Masouros, Robert Heath, J. Andrew Zhang, Zhiyong Feng, Le Zheng, Athina Petropulu
<span title="">2021</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/aznf273kcvcbfjcdeghr3xjd6i" style="color: black;">IEEE Journal on Selected Topics in Signal Processing</a> </i> &nbsp;

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[A5] "Power Loss Suppression for Time-Modulated Arrays in Radar-Communication Integration," treats the problem of Power Losses in Radar-Communications transmission implemented with Time-Modulated Arrays  ...  They further prove the feasibility and existence of pure strategy Nash equilibrium (NE) for their approach, and propose a resource allocation algorithm.  ... 
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Citation

Christos Masouros, Robert Heath, J. Andrew Zhang, Zhiyong Feng, Le Zheng, Athina Petropulu. "Editorial: Introduction to the Issue on Joint Communication and Radar Sensing for Emerging Applications." IEEE Journal on Selected Topics in Signal Processing (2021) 1290-1294

A view on radar and communication systems coexistence and dual functionality in the era of spectrum sensing

Anthony Martone, Moeness Amin
<span title="">2021</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/g6jayzerzbghtmzwzxwzmb65bm" style="color: black;">Digital signal processing (Print)</a> </i> &nbsp;

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For example, in a radar network, if targets are not present in the scene, then resources can be allocated for node synchronization and communications of information garnered by individual nodes.  ...  Section 4 views coexistence from a radar network perspective and from the perspective of networked sensors for event monitoring and information integrations.  ... 
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Citation

Anthony Martone, Moeness Amin. "A view on radar and communication systems coexistence and dual functionality in the era of spectrum sensing." Digital signal processing (Print) (2021) 103135

Papertitles

<span title="">2019</span> <i title="IEEE"> 2019 International Conference on Control, Automation and Information Sciences (ICCAIS) </i> &nbsp;

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Systems NLOS Targets Imaging with UWB Radar O 3 A B C D E F G H I J L M N O P R S T V Optimal Resource Allocation for Multiple Target Tracking in Phased Array Radar Network Optimization of Multi-effector  ...  Long time coherent integration for a maneuvering target with multiple motion states Low Probability of Intercept Performance Optimization for an Integrated Multi-static Radar and Communication System  ... 
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Citation

"Papertitles." 2019 International Conference on Control, Automation and Information Sciences (ICCAIS) (2019)

Heterogeneously-Distributed Joint Radar Communications: Bayesian Resource Allocation [article]

Linlong Wu, Kumar Vijay Mishra, Bhavani Shankar M. R., Björn Ottersten
<span title="2021-07-29">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>

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<span title="2022-03-04">2022</span> <span class="release-stage">accepted</span>
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2107.13838v2">arXiv:2107.13838v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ydpq2nuqobgdxg726j76hc5m7m">fatcat:ydpq2nuqobgdxg726j76hc5m7m</a> </span>
In this paper, we focus on a heterogeneous radar and communication network (HRCN), which consists of various generic radars for multiple target tracking (MTT) and wireless communications for multiple users  ...  We aim to improve the MTT performance and maintain good throughput levels for communication users by a well-designed resource allocation.  ...  ACKNOWLEDGMENT This work was supported by the ERC project AGNOSTIC and the FNR CORE project SPRINGER.  ... 
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<span class="ui label basic blue small">Multiple Versions</span>
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Citation

Linlong Wu, Kumar Vijay Mishra, Bhavani Shankar M. R., Björn Ottersten. "Heterogeneously-Distributed Joint Radar Communications: Bayesian Resource Allocation." arXiv (2021)

Evolution of Millimeter-Wave Multi-Antenna Systems in the IoT Era

Kazuaki TAKAHASHI, Hidekuni YOMO, Takashi MATSUOKA, Junji SATO, Yoichi NAKAGAWA, Makoto YASUGI, Masataka IRIE, Naganori SHIRAKATA, Koji TAKINAMI
<span title="">2017</span> <i title="Institute of Electronics, Information and Communications Engineers (IEICE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/neoe45vc4nf47argcpbjcnw2ay" style="color: black;">IEICE transactions on electronics</a> </i> &nbsp;

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Millimeterwaves are becoming essential frequency resources, enabling ultra-highspeed wireless networks supporting massive data traffic and high-resolution sensor devices.  ...  Multiple antenna technologies such as phased arrays, sector antennas, and MIMO signal processing are key technologies for putting these into practical use.  ...  Acknowledgments This work was partly supported by "The research and development project for expansion of radio spectrum resources" and "The Cross-ministerial Strategic Innovation Promotion Program" of  ... 
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Citation

Kazuaki TAKAHASHI, Hidekuni YOMO, Takashi MATSUOKA, Junji SATO, Yoichi NAKAGAWA, Makoto YASUGI, Masataka IRIE, Naganori SHIRAKATA, Koji TAKINAMI. "Evolution of Millimeter-Wave Multi-Antenna Systems in the IoT Era." IEICE transactions on electronics E100.C.10 (2017) 809-817

Table of Contents

<span title="">2022</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/fmebo7gm4vhg7ljs3x2bbrazk4" style="color: black;">IEEE Transactions on Vehicular Technology</a> </i> &nbsp;

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Wu 1509 Analysis and Design for Pilot Power Allocation and Placement in OFDM Based Integrated Radar and Communication in Automobile Systems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  ...  Fair Resource Allocation for User-Centric Networks . . . . . . . . . . . . . . . S. Wu, Y. Wei, S. Zhang, and W.  ... 
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Citation

"Table of Contents." IEEE Transactions on Vehicular Technology 71.2 (2022) C1-C4

Integrated Sensing and Communications: Towards Dual-functional Wireless Networks for 6G and Beyond [article]

Fan Liu, Yuanhao Cui, Christos Masouros, Jie Xu, Tony Xiao Han, Yonina C. Eldar, Stefano Buzzi
<span title="2021-08-16">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>

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Integrating sensing functionality is emerging as a key feature of the 6G Radio Access Network (RAN), allowing to exploit the dense cell infrastructure of 5G for constructing a perceptive network.  ...  Finally, we summarize the paper by identifying the potential integration between ISAC and other emerging communication technologies, and their positive impact on the future of wireless networks.  ...  Due to the above parallel, yet largely independent development, there exist duplications in devices, such as between phased arrays for radar and for communications, MIMO radar and MIMO communications,  ... 
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Fan Liu, Yuanhao Cui, Christos Masouros, Jie Xu, Tony Xiao Han, Yonina C. Eldar, Stefano Buzzi. "Integrated Sensing and Communications: Towards Dual-functional Wireless Networks for 6G and Beyond." arXiv (2021)

Reconfigurable Intelligent Surface-Aided Joint Radar and Covert Communications: Fundamentals, Optimization, and Challenges [article]

Hongyang Du, Jiawen Kang, Dusit Niyato, Jiayi Zhang, Dong In Kim
<span title="2022-03-08">2022</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>

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https://web.archive.org/web/20220311203417/https://arxiv.org/pdf/2203.02704v2.pdf

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<span title="2022-03-05">2022</span> <span class="release-stage" >pre-print</span>
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A joint radar and communication (JRC) system, which can support simultaneous information transmission and target detection, has been regarded as a promising solution for emerging applications such as autonomous  ...  Future wireless communication systems will evolve toward multi-functional integrated systems to improve spectrum utilization and reduce equipment sizes.  ...  Time/spectrum/signal sharing, integrated signal processing, and collaborative waveform design, etc., are the major research directions of JRC. 2) Main Approaches for Integrating Radar and Communication  ... 
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<span class="ui label basic orange small" title="Open Access">Open Access</span> <span class="ui label basic blue small">Multiple Versions</span>
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Citation

Hongyang Du, Jiawen Kang, Dusit Niyato, Jiayi Zhang, Dong In Kim. "Reconfigurable Intelligent Surface-Aided Joint Radar and Covert Communications: Fundamentals, Optimization, and Challenges." arXiv (2022)

Virtualization of Electromagnetic Operations (VEMO) [article]

Steven Jones, David Coleman, Robert Nichols
<span title="2022-02-15">2022</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>

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This will result in more efficient use of resources, including size/weight/power and integration of objectives across systems that employ the electromagnetic spectrum.  ...  Today's operations in the spectrum occur across many disparate and unique devices. For example, a military or commercial maritime platform can have dozens of apertures used for various functions.  ...  For example, the integration period for the radar application may exceed the coherence time for a communication application thus limiting the overall throughput.  ... 
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Citation

Steven Jones, David Coleman, Robert Nichols. "Virtualization of Electromagnetic Operations (VEMO)." arXiv (2022)

Joint Communication and Sensing: Models and Potentials of Using MIMO [article]

Xinran Fang, Wei Feng, Yunfei Chen, Ning Ge, Yan Zhang
<span title="2022-05-19">2022</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>

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We first outline the roles of MIMO in the progress of communication and radar sensing. Then, we review current advances in both communication and sensing coexistence and integration in detail.  ...  The sixth-generation (6G) network is envisioned to integrate communication and sensing functions, so as to improve the spectrum efficiency (SE) and support explosive novel applications.  ...  In the integrated network, the radio, power and computing resources are desired to be jointly scheduled. They are packaged into tailored slices and allocated to corresponding fabrication tasks.  ... 
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<span class="ui label basic orange small" title="Open Access">Open Access</span>
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Citation

Xinran Fang, Wei Feng, Yunfei Chen, Ning Ge, Yan Zhang. "Joint Communication and Sensing: Models and Potentials of Using MIMO." arXiv (2022)

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