Results 201 to 210 of about 6,839,717 (234)
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Multi-Branch Deep Residual Learning for Clustering and Beamforming in User-Centric Network
IEEE Communications Letters, 2020In existing works of deep learning-based resource allocation, the scalability degrades heavily with the increase of network complexity, which is due to their limited learning ability of shallow neural networks and insufficient knowledge of network ...
Yuan He, L. Dai, Hongtao Zhang
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Network beamforming in cognitive relay networks with QoS constraints
2011 IFIP Wireless Days (WD), 2011In this paper, we propose a distributed relay beam-forming design in an underlay based cognitive relay network. In the proposed approach, beamforming coefficients of the secondary relays are obtained through minimization of the peak interference power inflicted on the primary receiver subject to the signal to noise-interference ratio (SINR) constraint ...
Amir Piltan +2 more
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Network Duality for Multiuser MIMO Beamforming Networks and Applications
IEEE Transactions on Communications, 2007For any multiple-input multiple-output (MIMO) network with linear beamformers, it is shown that there exists a dual network that attains the same signal-to-interference-plus-noise ratio (SINR) performance. This network duality concept is a generalization of the virtual uplink concept investigated by Rashid-Farrokhi .
Bongyong Song +2 more
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Calibration of Phase Shifter Network for Hybrid Beamforming in mmWave Massive MIMO Systems
IEEE Transactions on Signal Processing, 2020For the millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) systems, hybrid beamforming has been proposed to reap a great gain of the large number of antennas with a limited number of radio frequency (RF) chains. The hybrid beamforming
Xizixiang Wei +3 more
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Doubly Opportunistic Beamforming for Finite Networks
2016 IEEE Global Communications Conference (GLOBECOM), 2016We develop a novel opportunistic beamforming scheme referred to as doubly opportunistic beamforming (DOBF), which is doubly selective in both users and beams. The sum-rate performance of the proposed scheme is investigated in less-known finite networks where the number of transmit antennas and the number of active users are finite and of the same order
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Optimal network beamforming for bi-directional relay networks
2009 IEEE International Conference on Acoustics, Speech and Signal Processing, 2009We consider a relay network which consists of two transceivers and r relay nodes. We study a half-duplex two-way relaying scheme. First, the two transceivers transmit their information symbols simultaneously and the relays receive a noisy mixture of the two transceiver signals.
Veria Havary-Nassab +2 more
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Robust Downlink Beamforming for Cognitive Radio Networks
2010 IEEE Global Telecommunications Conference GLOBECOM 2010, 2010We address the problem of worst-case robust downlink beamforming for a multi-antenna secondary network (SN) in a cognitive radio framework. An important issue is the interference leaked to the primary users (PUs) resulting from the transmission between the SN base station and the secondary users (SUs).
Imran Wajid +3 more
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Practical optical beamforming networks
Optical and Quantum Electronics, 1998A review of optical beamforming techniques is presented. The techniques are subdivided into two broad categories. First, several representative implementations of narrow band, phase-only techniques are summarized. A detailed description of a narrow band architecture realized in our laboratory is presented.
M. Y. Frankel +3 more
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Fast Photonics-Assisted Beamforming Network for Wide-Band, High Bit Rate 5G Communications
International Topical Meeting on Microwave Photonics, 2018We present a fast reconfigurable beamforming network with switching time $< 5$ ns, based on photonic integrated circuits. It allows for a complete antenna beam steering, controlling the signal phase over $> 360 ^{circ}$.
B. Hussain +5 more
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Beamforming in wireless relay networks
2008 Information Theory and Applications Workshop, 2008This paper is on relay beamforming in wireless networks, in which the receiver has perfect information of all channels and each relay knows its own channels. Instead of the commonly used total power constraint on relays and the transmitter, we use a more practical assumption that every node in the network has its own power constraint.
Yindi Jing, Hamid Jafarkhani
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