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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
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Lightweight beamforming networks

NTC '91 - National Telesystems Conference Proceedings, 2002
Lightweight BFN (beamforming network) implementation based on a hybrid mode technology is described and shown to provide dramatic weight and size reduction relative to waveguide-implemented designs. The hybrid mode technology refers to an integration of microstrip and guided wave media.
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A neural network for robust LCMP beamforming

Signal Processing, 2006
Calculating an optimal beamforming weight is a main task of beamforming. Quadratic constraints on the weight vector of an adaptive linearly constrained minimum power (LCMP) beamformer can improve robustness to pointing errors and to random perturbations in sensor parameters.
Youshen Xia, Gang Feng 0001
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Modeling distributed beamforming in wireless networks

2008 46th Annual Allerton Conference on Communication, Control, and Computing, 2008
Distributed beamforming in wireless ad hoc networks has the promise of greatly improving network throughput. However, unlike traditional beamforming from a fixed array, the random locations of the nodes collaborating to form the array lead to a random beam pattern.
Kery Hardwick   +2 more
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Collaborative beamforming in ad hoc networks

Manufacturing Engineer, 2005
The performance of collaborative beamforming is analyzed using the theory of random arrays. The statistical average and distribution of the beam patterns of randomly generated phased arrays are derived in the framework of wireless ad hoc sensor networks.
Hideki Ochiai   +3 more
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Distributed beamforming for cognitive relay networks

2014 IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP), 2014
A distributed beamforming technique for half-duplex underlay cognitive relay networks is developed in this paper. The considered cognitive relay network consists of one pair of primary users, one pair of secondary users and multiple relays. With the help of multiple relays, the secondary transmitter sends data to the secondary receiver. In our approach,
Haihua Chen 0001, Li Zhang, Guiling Sun
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Interference Reduction by Beamforming in Cognitive Networks

IEEE GLOBECOM 2008 - 2008 IEEE Global Telecommunications Conference, 2008
We consider beamforming in a cognitive network with multiple primary users and secondary users sharing the same spectrum. In particular, we assume that each secondary transmitter has Nt antennas and transmits data to its single- antenna receiver using beamforming. The beamformer is designed to maximize the cognitive user's signal-to-interference ratio (
Simon Yiu, Mai Vu, Vahid Tarokh
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Distributed Downlink Beamforming in Cellular Networks

2007 IEEE International Symposium on Information Theory, 2007
We consider a cellular network where base stations can cooperate to determine the signals to be transmitted on the downlink. Using a particular downlink beamformer structure, we recast our downlink beamforming problem as a virtual linear minimum mean square error (LMMSE) estimation problem.
Boon Loong Ng   +2 more
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Beamforming Methods for Multiuser Relay Networks

2008 IEEE 68th Vehicular Technology Conference, 2008
In this paper, we consider a multiuser relay network under amplify and forward (AF) scheme, where each mobile station (MS) is supported by a unique relay station (RS). While the RSs forwards the scaled signal to the MSs, the interference caused by the multiuser nature of the system propagates via the RSs, which significantly degrades the performance ...
Wei Chen 0016   +4 more
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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
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