Scalable feedback algorithms for distributed transmit beamforming in wireless networks

Mudumbai, Raghuraman; Bidigare, Patrick; Pruessing, Scott; Dasgupta, Soura; Oyarzun, Miguel; Raeman, David

doi:10.1109/icassp.2012.6289095

Cited by 12 publications

(3 citation statements)

References 11 publications

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“…A preliminary study in [26] investigates how rich feedback can significantly enhance convergence speed, while still maintaining scalability by designing the feedback such that the same aggregate feedback can be used by all nodes in the network (as opposed to feedback customized for each transmitter, which does not scale with the number of cooperating nodes). This is especially critical for larger networks, where the slow convergence speed of the one-bit feedback algorithm becomes a problem.…”

Section: B Two Synchronization Sub-processesmentioning

confidence: 99%

A Scalable Architecture for Distributed Transmit Beamforming with Commodity Radios: Design and Proof of Concept

Quitin

Rahman

Mudumbai

et al. 2013

IEEE Trans. Wireless Commun.

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We describe a fully-wireless prototype of distributed transmit beamforming on a software-defined radio platform. Distributed beamforming is a cooperative transmission technique that can achieve orders of magnitude increases in range or energy efficiency of wireless communication systems. However, this technique requires precise synchronization of the radio frequency signal from each transmitter. The significance of our prototype is in demonstrating that this requirement can be satisfied using digital signal processing methods on commodity hardware with lowquality oscillators. Our synchronization approach scales to large numbers of transmitters: each transmitter runs independent algorithms based on periodically transmitted feedback packets from the receiver. A key simplification is the decoupling of the algorithms for frequency locking and beamsteering at each transmitter, even though both processes use the same feedback packets. Frequency locking employs an Extended Kalman filter to track the local oscillator offset between a transmitter and the receiver, using frequency offset measurements based on the feedback packet waveform, while the phase adjustments for beamsteering are determined using a one-bit feedback algorithm based on the feedback packet payload. Our prototype demonstrates that distributed transmit beamforming can be incorporated into wireless networks without requiring hardware innovations, and provides open-source building blocks for future research and development.

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Section: B Two Synchronization Sub-processesmentioning

confidence: 99%

A Scalable Architecture for Distributed Transmit Beamforming with Commodity Radios: Design and Proof of Concept

Quitin

Rahman

Mudumbai

et al. 2013

IEEE Trans. Wireless Commun.

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“…While phase measurements must be individually performed for each transmitting node in the scheme considered here, alternative feedback schemes based on aggregate measurements also fit within a DSP-centric framework. The one bit feedback scheme in [3] is an example of such a technique, but richer forms of aggregate feedback can provide considerably better performance [16], especially in terms of tracking frequency offsets as well as aligning phases. In addition, recent results in timing synchronization [17] show that timing accuracies within a fraction of a carrier cycle are achievable at relatively low complexity, which implies that it may be possible to achieve distributed beamforming even without such explicit feedback.…”

Section: Discussionmentioning

confidence: 99%

DSP-centric algorithms for distributed transmit beamforming

Mudumbai

Madhow

Brown

et al. 2011

2011 Conference Record of the Forty Fifth Asilomar Conference on Signals, Systems and Computers (ASILOMAR)

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Distributed transmit beamforming is a means of increasing range and power efficiency via local collaboration among neighboring nodes in order to transmit a common message to a remote destination. While its basic feasibility has been established by recent analyses and prototypes, transitioning this concept to applications requires the development of protocols and architectures which can be implemented efficiently using digital signal processing (DSP). In this paper, we describe DSP-centric algorithms and their performance limits, and report on recent results from simulations and software-defined radio experiments.

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“…A variety of procedures have been developed in the literature for frequency synchronization, e.g., those described in [29], [18], [19], [30], and any of these are appropriate for use with the algorithms developed in this body of work. We also provide a way of addressing the prior frequency synchronization requirement for nullforming in Chapter 4 by incorporating a method to do frequency synchronization into the algorithm itself.…”

Section: Practical Considerationsmentioning

confidence: 99%

Scalable algorithms for distributed beamforming and nullforming

Kumar¹

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Scalable feedback algorithms for distributed transmit beamforming in wireless networks

Cited by 12 publications

References 11 publications

A Scalable Architecture for Distributed Transmit Beamforming with Commodity Radios: Design and Proof of Concept

A Scalable Architecture for Distributed Transmit Beamforming with Commodity Radios: Design and Proof of Concept

DSP-centric algorithms for distributed transmit beamforming

Scalable algorithms for distributed beamforming and nullforming

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