Fine-grained network time synchronization using reference broadcasts
ACM SIGOPS Operating Systems Review - OSDI '02: Proceedings of the 5th symposium on Operating systems design and implementation
Distributed beamforming for information transfer in sensor networks
Proceedings of the 3rd international symposium on Information processing in sensor networks
Digital Signal Processing and Applications with the TMS320C6713 and TMS320C6416 DSK (Topics in Digital Signal Processing)
Distributed transmit beamforming using feedback control
IEEE Transactions on Information Theory
Time-Slotted Round-Trip Carrier Synchronization for Distributed Beamforming
IEEE Transactions on Signal Processing
A Cross-Layer Approach to Collaborative Beamforming for Wireless Ad Hoc Networks
IEEE Transactions on Signal Processing - Part I
Collaborative beamforming for distributed wireless ad hoc sensor networks
IEEE Transactions on Signal Processing
On the Feasibility of Distributed Beamforming in Wireless Networks
IEEE Transactions on Wireless Communications
On the power efficiency of sensory and ad hoc wireless networks
IEEE Transactions on Information Theory
Weighted cross-layer cooperative beamforming for wireless networks
IEEE Transactions on Signal Processing
Pilot-assisted distributed co-phasing for wireless sensor networks
SECON'09 Proceedings of the 6th Annual IEEE communications society conference on Sensor, Mesh and Ad Hoc Communications and Networks
Collaborative null-steering beamforming for uniformly distributed wireless sensor networks
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Cooperative training for high density sensor and actor networks
IEEE Journal on Selected Areas in Communications
Distributed transmit beamforming using feedback control
IEEE Transactions on Information Theory
On the diversity order of non-orthogonal amplify-and-forward over block-fading channels
IEEE Transactions on Wireless Communications
DAC: distributed asynchronous cooperation for wireless relay networks
INFOCOM'10 Proceedings of the 29th conference on Information communications
Chorus: collision resolution for efficient wireless broadcast
INFOCOM'10 Proceedings of the 29th conference on Information communications
Cooperative beamforming in cognitive radio networks
WD'09 Proceedings of the 2nd IFIP conference on Wireless days
Interference management of femtocell in macro-cellular networks
WTS'10 Proceedings of the 9th conference on Wireless telecommunications symposium
A little feedback can simplify sensor network cooperation
IEEE Journal on Selected Areas in Communications - Special issue on simple wireless sensor networking solutions
IEEE Transactions on Wireless Communications
Distributed transmit beamforming without phase feedback
EURASIP Journal on Wireless Communications and Networking - Special issue on theoretical and algorithmic foundations of wireless ad hoc and sensor networks
IEEE Transactions on Communications
Demonstration of a new degree of freedom in wireless routing: concurrent cooperative transmission
Proceedings of the 6th Workshop on Hot Topics in Embedded Networked Sensors
Self-optimized collaborative data communication in wireless sensor networks
Proceedings of the 2011 workshop on Organic computing
CIT'11 Proceedings of the 5th WSEAS international conference on Communications and information technology
Fully wireless implementation of distributed beamforming on a software-defined radio platform
Proceedings of the 11th international conference on Information Processing in Sensor Networks
Wireless Communications & Mobile Computing
Computer Networks: The International Journal of Computer and Telecommunications Networking
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Distributed transmit beamforming is a form of cooperative communication in which two or more information sources simultaneously transmit a common message and control the phase of their transmissions so that the signals constructively combine at an intended destination. Depending on the design objectives and constraints, the power gains of distributed beam-forming can be translated into dramatic increases in range, rate, or energy efficiency. Distributed beamforming may also provide benefits in terms of security and interference reduction since less transmit power is scattered in unintended directions. Key challenges in realizing these benefits, however, include coordinating the sources for information sharing and timing synchronization and, most crucially, distributed carrier synchronization so that the transmissions combine constructively at the destination. This article reviews promising recent results in architectures, algorithms, and working prototypes which indicate that these challenges can be surmounted. Directions for future research needed to translate the potential of distributed beamforming into practice are also discussed.