NetBeam: Networked and Distributed 3-D Beamforming for Multi-user Heterogeneous Traffic

Bocanegra, Carlos; Alemdar, Kubra; García, Sara Martínez; Singhal, Chetna; Chowdhury, Kaushik R.

doi:10.1109/dyspan.2019.8935797

Cited by 10 publications

(3 citation statements)

References 24 publications

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“…Evolution of wireless systems from large single-platform architectures to a composite of multiple small spatially distributed systems that make local decisions to achieve a shared global objective has resulted in significant applications in distributed coordinated beamforming [1], [2], network densification in 5G [3], and coherent distributed array (CDA) [4]- [6]. In particular, CDA operate as a network of small, low-cost, and spatially distributed nodes where each node has its own separate transceiver, and the nodes align their transceivers within the fraction of the wavelength of wireless operation in such a way that their signals add up coherently at the destination.…”

Section: Introductionmentioning

confidence: 99%

Frequency and Phase Synchronization in Distributed Antenna Arrays Based on Consensus Averaging and Kalman Filtering

Rashid¹,

Nanzer²

2022

Preprint

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A decentralized approach for joint frequency and phase synchronization in distributed antenna arrays is presented. The nodes in the array locally broadcast signals to share their frequencies and phases with their neighboring nodes, and use consensus averaging to align these parameters across the array. The architecture is fully distributed, requiring no centralization. Each node has a local oscillator and we consider a signal model where intrinsic frequency and phase errors of the local oscillators on each node caused by the frequency drift and phase jitter as well as the frequency and phase estimation errors at the nodes are included and modeled using practical statistics. A decentralized frequency and phase consensus (DFPC) algorithm is proposed which uses an average consensus method in which each node in the array iteratively updates its frequency and phase by computing an average of the frequencies and phases of their neighboring nodes. Simulation results show that upon convergence the DFPC algorithm can align the frequencies and phases of all the nodes up to a residual phase error that is governed by the oscillators and the estimation errors. To reduce this residual phase error and thus improve the synchronization between the nodes, a Kalman filter based decentralized frequency and phase consensus (KF-DFPC) algorithm is presented. The total residual phase error at the convergence of the KF-DFPC and DFPC algorithms is derived theoretically. The synchronization performances of these algorithms are compared to each other in light of this theoretical residual phase error by varying the duration of the signals, connectivity of the nodes, the number of nodes in the array, and signal to noise ratio of the transmitted signals. Simulation results demonstrate that the proposed KF-DFPC algorithm Manuscript received 2022.

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Section: Introductionmentioning

confidence: 99%

Frequency and Phase Synchronization in Distributed Antenna Arrays Based on Consensus Averaging and Kalman Filtering

Rashid¹,

Nanzer²

2022

Preprint

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“…In [183], an SDR implementation of Master-Slave closedloop synchronization procedure named as NetBeam was demonstrated. NetBeam involves a network of radios that broadcast information locally and jointly transmit it to a remote receiver.…”

Section: ) Implementation Examples Of Master-slave Synchronization Me...mentioning

confidence: 99%

Architectures and Synchronization Techniques for Distributed Satellite Systems: A Survey

et al. 2022

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Cohesive Distributed Satellite Systems (CDSSs) is a key enabling technology for the future of remote sensing and communication missions. However, they have to meet strict synchronization requirements before their use is generalized. When clock or local oscillator signals are generated locally at each of the distributed nodes, achieving exact synchronization in absolute phase, frequency, and time is a complex problem. In addition, satellite systems have significant resource constraints, especially for small satellites, which are envisioned to be part of the future CDSSs. Thus, the development of precise, robust, and resource-efficient synchronization techniques is essential for the advancement of future CDSSs. In this context, this survey aims to summarize and categorize the most relevant results on synchronization techniques for Distributed Satellite Systems (DSSs). First, some important architecture and system concepts are defined. Then, the synchronization methods reported in the literature are reviewed and categorized. This article also provides an extensive list of applications and examples of synchronization techniques for DSSs in addition to the most significant advances in other operations closely related to synchronization, such as inter-satellite ranging and relative position. The survey also provides a discussion on emerging data-driven synchronization techniques based on Machine Learning (ML). Finally, a compilation of current research activities and potential research topics is proposed, identifying problems and open challenges that can be useful for researchers in the field.

show abstract

“…In [181], an SDR implementation of Master-Slave closedloop synchronization procedure named as NetBeam was demonstrated. NetBeam involves a network of radios that broadcast information locally and jointly transmit it to a remote receiver.…”

Section: ) Implementation Examples Of Master-slave Synchronization Me...mentioning

confidence: 99%

Architectures and Synchronization Techniques for Distributed Satellite Systems: A Survey

Marrero¹,

Duncan²,

Querol³

et al. 2022

Preprint

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CDSS is a key enabling technology for the future of remote sensing and communication missions. However, they have to meet strict synchronization requirements before their use is generalized. When clock or local oscillator signals are generated locally at each of the distributed nodes, achieving exact synchronization in absolute phase, frequency, and time is a complex problem. In addition, satellite systems have significant resource constraints, especially for small satellites, which are envisioned to be part of the future CDSS. Thus, the development of precise, robust, and resource-efficient synchronization techniques is essential for the advancement of future CDSS. In this context, this survey aims to summarize and categorize the most relevant results on synchronization techniques for DSS. First, some important architecture and system concepts are defined. Then, the synchronization methods reported in the literature are reviewed and categorized. This article also provides an extensive list of applications and examples of synchronization techniques for DSS in addition to the most significant advances in other operations closely related to synchronization, such as inter-satellite ranging and relative position. The survey also provides a discussion on emerging data-driven synchronization techniques based on ML. Finally, a compilation of current research activities and potential research topics is proposed, identifying problems and open challenges that can be useful for researchers in the field.

show abstract

NetBeam: Networked and Distributed 3-D Beamforming for Multi-user Heterogeneous Traffic

Cited by 10 publications

References 24 publications

Frequency and Phase Synchronization in Distributed Antenna Arrays Based on Consensus Averaging and Kalman Filtering

Frequency and Phase Synchronization in Distributed Antenna Arrays Based on Consensus Averaging and Kalman Filtering

Architectures and Synchronization Techniques for Distributed Satellite Systems: A Survey

Architectures and Synchronization Techniques for Distributed Satellite Systems: A Survey

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