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60 GHz 2-D Scanning Multibeam Cavity-Backed Patch Array Fed by Compact SIW Beamforming Network for 5G Applications

IEEE Transactions on Antennas and Propagation, 2019
This paper presents a $2 \times 2$ multibeam array employing a novel wideband linearly polarized cavity-backed patch antenna for fifth-generation (5G) wireless communication technology.
I. Mohamed, A. Sebak
semanticscholar   +1 more source

Collaborative beamforming in wireless sensor networks

2011 Conference Record of the Forty Fifth Asilomar Conference on Signals, Systems and Computers (ASILOMAR), 2011
Collaborative beamforming (CB) is an energy efficient transmission scheme in wireless sensor networks (WSNs). Despite the promising aspects of CB, its practical implementation remains largely unexplored and the challenges, namely frequency, phase, and data synchronization, must be addressed for successful deployment.
Serkan Sayilir   +4 more
openaire   +1 more source

Distributed Beamforming for Underwater Sensor Networks

Proceedings of the International Conference on Underwater Networks %Systems - WUWNET '14, 2014
We propose a binary-feedback-based distributed beamforming for underwater sensor networks (UWSNs). Distributed beamforming is a technique that enables distributed sensor nodes to cooperatively transmit signals in order to improve the signal-to-noise ratio (SNR).
Yonggang Kim, Hyuk Lim
openaire   +1 more source

Movable Antenna Enabled Interference Network: Joint Antenna Position and Beamforming Design

IEEE Wireless Communications Letters
This letter investigates the utility of movable antenna (MA) assistance for the multiple-input single-output (MISO) interference channel. We exploit an additional design degree of freedom provided by MA to enhance the desired signal and suppress ...
Honghao Wang, Qingqing Wu, Wen Chen
semanticscholar   +1 more source

Robust Beamforming With Gradient-Based Liquid Neural Network

IEEE Wireless Communications Letters
Millimeter-wave (mmWave) multiple-input multiple-output (MIMO) communication with the advanced beamforming technologies is a key enabler to meet the growing demands of future mobile communication. However, the dynamic nature of cellular channels in large-
Xinquan Wang   +7 more
semanticscholar   +1 more source

Cooperative beamforming in Cognitive Radio networks

2009 2nd IFIP Wireless Days (WD), 2009
In this paper, the problem of cooperative beamforming is investigated in a heterogeneous underlay cognitive network. A major difference exists between a conventional cooperative beamforming problem and cooperative beamforming in a CR (Cognitive Radio)network due to the interference constraints imposed by primary network.
Maryam Abolfath Beigi   +1 more
openaire   +1 more source

Network-Assisted Full-Duplex Distributed Massive MIMO Systems With Beamforming Training Based CSI Estimation

IEEE Transactions on Wireless Communications, 2021
Network-assisted full-duplex (NAFD) distributed massive multiple-input multiple-output (MIMO) systems enable simultaneous uplink and downlink communications by dynamically allocating the numbers of uplink and downlink remote antenna units (RAUs), which ...
Jiamin Li   +5 more
semanticscholar   +1 more source

On Evaluation of Beamforming Networks

IEEE Antennas and Wireless Propagation Letters, 2014
An approach is presented to characterize a beamforming network by means of a single quantity. It is based on a comparison of the actual output signal vector to the desired output signal vector. The formulation can be concisely written in matrix notation and allows for a characterization over frequency, accounting for absolute offsets. By expressing the
openaire   +1 more source

Distributed Beamforming Using a Scattering Network

2010 8th Annual Communication Networks and Services Research Conference, 2010
Novel beam-forming methodology is proposedthat employs passive RF devices in order to enhance thereceived signal. This paper demonstrates the feasibility of suchbeamforming and the realization methodology for a randomlyplaced set of passive devices. Typically, a beamforming isrealized by employing an antenna array at a receiver ortransmitter.
Vikram Reddy Surendra   +1 more
openaire   +1 more source

Blind robust neural network beamformer

IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339), 2003
Many blind beamforming algorithms, such as C-CAB, use the signal characteristics to estimate the steering vector. The conventional LCMV algorithm is then adapted to obtain the optimum solution. However, the LCMV-like methods are sensitive to the mismatch. In this paper, the cause of this mismatch is discussed in detail.
Yuxin Chen, Zhenya He
openaire   +1 more source

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