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» Distributed Beamforming with Feedback: Convergence Analysis
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ICC
2007
IEEE
197views Communications» more  ICC 2007»
14 years 1 months ago
A Distributed Scheduling Algorithm for Multiuser MIMO Systems with 1-bit SINR Feedback
—Opportunistic scheduling in random beamforming maximizes the sum-rate by allocating resources to the users with the best channel condition, thus leveraging on multiuser diversit...
Stefano Sorrentino, Umberto Spagnolini, Lino Moret...
INFOCOM
2007
IEEE
14 years 1 months ago
The Impact of Stochastic Noisy Feedback on Distributed Network Utility Maximization
—The implementation of distributed network utility maximization (NUM) algorithms hinges heavily on information feedback through message passing among network elements. In practic...
Junshan Zhang, Dong Zheng, Mung Chiang
TWC
2008
133views more  TWC 2008»
13 years 7 months ago
Beam Selection Strategies for Orthogonal Random Beamforming in Sparse Networks
Abstract--Orthogonal random beamforming (ORB) constitutes a mean to exploit spatial multiplexing and multi-user diversity (MUD) gains in multi-antenna broadcast channels. To do so,...
José López Vicario, Roberto Bosisio,...

Publication
304views
15 years 5 months ago
A Binary Feedback Scheme for Congestion Avoidance in Computer Networks with Connectionless Network Layer
We propose a scheme for congestion avoidance in networks using a connectionless protocol at the network layer. The scheme uses a minimal amount of feedback from the network to the ...
K. Ramakrishnan and R. Jain
ISLPED
1997
ACM
106views Hardware» more  ISLPED 1997»
13 years 11 months ago
A sequential procedure for average power analysis of sequential circuits
A new statistical technique for average power estimation in sequential circuits is presented. Due to the feedback mechanism, conventional statistical procedures cannot be applied ...
Li-Pen Yuan, Sung-Mo Kang