Distributed Transmit Beamforming Using Feedback Control

Mudumbai, Raghuraman; Hespanha, João P.; Madhow, Upamanyu; Barriac, G.

doi:10.1109/tit.2009.2034786

Cited by 240 publications

(312 citation statements)

References 24 publications

(22 reference statements)

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“…Then, we implemented the proposed frequency synchronization algorithm from section IV-B1 at the relays. Finally, we implemented the 1-bit feedback phase control algorithm from [12] at relays, to realize the received power gains due to DRBF at destination nodes.…”

Section: ) Proposed Methods For Frequency Synchronizationmentioning

confidence: 99%

“…In Section IV, we present a novel distributed method for frequency synchronization among the cooperating (AF/DF) relay nodes operating in FDD mode. For phase synchronization, we have made use of a distributed, stochasticsearch based, iterative algorithm 7 from [12] (so-called 1-bit feedback algorithm) which has been proved analytically to converge to the global optimum. Finally, for timing synchronization, the cooperating (AF/DF) relays could exploit the time-of-packet-arrival (ToPA) of received packets on the first hop to later use it as a common trigger event for their packets' transmission on second hop; this assumption works well for narrow-band system setting we have assumed in this work.…”

Section: B Distributed Relay Beamformingmentioning

confidence: 99%

“…7 Any phase synchronization algorithm will require few bits of feedback from Dm to R every TRT so that R can periodically update its beam orientation towards Dm, e.g., [12], [13], [14]. In our system model, Dm sends a feedback packet to R immediately after it receives a relayed packet from R (see Figs.…”

Section: A When Af Relays Operate In Tdd Modementioning

confidence: 99%

“…(12) Let us assume that all relay nodes achieve phase coherence at the destination node at time t 1 , i.e., φ n (t 1 ) = 0 for all n, where φ n (t 1 ) is the phase offset/error between relay R n and destination at time t 1 . Then, at a later time t 2 , due to oscillator drift, the phases of all the relays are no longer aligned at the destination.…”

Section: Beamformingmentioning

confidence: 99%

“…Putting the values of σ 2 φ,p and σ 2 φ,m in (22), and solving for T delay we obtain the rule of thumb in (12).…”

Section: Appendix B Derivation Of Rule Of Thumb Inmentioning

confidence: 99%

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A Distributed Relay Beamforming-Enhanced TDMA System

Rahman

Salim

Yasmeen

et al. 2015

2015 IEEE 81st Vehicular Technology Conference (VTC Spring)

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Abstract-Token-passing wireless network protocols (TP-WNP) (e.g., EchoRing), designed for hard real-time systems, typically need to provide ultra-low-latency coupled with ultrahigh-reliability guarantees. In this paper, we initiate a study to investigate the feasibility of distributed relay beamforming (DRBF) in a TP-WNP with the aim to enhance its reliability (and latency) performance even further. Specifically, we consider employing N i) amplify-and-forward (AF), ii) decode-and-forward (DF) relays in a wireless network running a TP-WNP. The relays operate in FDD mode, and do distributed transmit beamforming to realize low-latency, highly-reliable communication between each of the M source-destination pairs in the TP-WNP (a.k.a TDMA) system.The enablers/pre-requisites for the proposed DRBF-TDMA system are frequency, phase and timing synchronization among the relay nodes. To this end, we propose a novel distributed method for frequency synchronization among the AF/DF relay nodes operating in FDD mode. Furthermore, for oscillators with drift, we derive a rule of thumb which provides us the maximum relaying delay T delay up to which the proposed frequency synchronization method is effective. For phase and timing synchronization, we employ standard techniques from the literature. Our simulation results verify the analytical results, i.e., by means of proposed DRBF using N AF (DF) relays, upto a factor of N (N 2 ) gains in received SNR can be achieved, at each of the M destination nodes in the proposed system.

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Section: ) Proposed Methods For Frequency Synchronizationmentioning

confidence: 99%

Section: B Distributed Relay Beamformingmentioning

confidence: 99%

Section: A When Af Relays Operate In Tdd Modementioning

confidence: 99%

Section: Beamformingmentioning

confidence: 99%

“…Putting the values of σ 2 φ,p and σ 2 φ,m in (22), and solving for T delay we obtain the rule of thumb in (12).…”

Section: Appendix B Derivation Of Rule Of Thumb Inmentioning

confidence: 99%

See 3 more Smart Citations

A Distributed Relay Beamforming-Enhanced TDMA System

Rahman

Salim

Yasmeen

et al. 2015

2015 IEEE 81st Vehicular Technology Conference (VTC Spring)

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Frequency Diverse Phased Arrays

Wang

2019

Wiley Encyclopedia of Electrical and Electronics Engineering

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This article introduces what frequency diverse array (FDA) is and why it could be utilized in radar and wireless communication systems for improved performance. Recent advances and potential applications together with the technical challenges are discussed. It is shown that FDA indeed provides promising potential for future radar, communications, and even integrated radar and communication applications. However, for practical applications further work on system implementation, optimal array signal processing, and time‐variance related problems should be carried out.

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Analysis of energy efficient and network traffic delay in wireless networks using channel aware routing

Manivannan

Chinnadurai

2020

Trans Emerging Tel Tech

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This article studies different analysis metrics of wireless networks using channel aware routing protocol. During communication the following characteristics are important performance metrics like network traffic delays and energy efficient. Energy Efficient is an important solution with limited buffer capacity and life time of battery in wireless environment. The status of each node can be identified by using co-channel forwarding mechanism. The traffic delays can be measured by using Q-Learning random early method and routing can be optimized by channel aware routing. The transmission changes in one node to another can be monitored by router database and energy level can be verified by additional changes in wireless network nodes. The network reliability is improved by reducing the communication delay, which uses various traditional routing protocols. Based on the demand of communication protocols, the router is designed to optimize the best network model. Based on the problem formation of open vehicle routing technique, it proves inherently NP-hard. If it has reduced computation overhead, it will not perform well with the large scale framework. Therefore, the channel aware routing technique improves the performance by increasing the reliability of the network. The previous results are shown that efficient energy utilization and network traffic delays encountered the major and accuracy results are in below 60% In this article, we formulate to achieve analysis the energy performance and reduced traffic delay using co-channels stochastic optimization procedure. The co-channel method used to check various analytical bounds and check all the nodes are uniformly shares the energy level. The mathematical analysis report provides uniform distribution energy values and traffic delays. The simulation results are shows that efficient energy utilization and network traffic delays in wireless networks 75% achieved.

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Distributed Transmit Beamforming Using Feedback Control

Abstract: Abstract-

Cited by 240 publications

References 24 publications

A Distributed Relay Beamforming-Enhanced TDMA System

A Distributed Relay Beamforming-Enhanced TDMA System

Frequency Diverse Phased Arrays

Analysis of energy efficient and network traffic delay in wireless networks using channel aware routing

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