QUILT: A Decode/Quantize-Interleave-Transmit approach to cooperative relaying

Brahma, Siddhartha; Duarte, Melissa; Sengupta, Ayan; Wang, I-Hsiang; Fragouli, Christina; Diggavi, Suhas

doi:10.1109/infocom.2014.6848197

Cited by 9 publications

(8 citation statements)

References 17 publications

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“…The first testbed implementation of QMF over single-relay systems, as well as that of coded non-orthogonal AF and DF relaying systems were presented in [8], demonstrating significant benefits of QMF over AF and DF. [5] extended the work of [8] to include opportunistic decoding/quantization at the relay and hybrid decoding at the destination. Other WARP [15] based implementations of PHY cooperation networks include the work of [18], where uncoded AF and DF relaying were used.…”

Section: Related Workmentioning

confidence: 99%

“…We here first describe the network operation and give an overview of DIQIF [5]. Our new contributions are that we customize DIQIF to 2 relay networks, and present theoretical evidence to support our design choices.…”

Section: Cooperative Transmission Schemementioning

confidence: 99%

“…DIQIF [5] for a 1-relay mode operates as follows. The relay first attempts to decode its received signal.…”

Section: Relaying Strategymentioning

confidence: 99%

“…Physical layer (PHY) cooperation can help relieve the bandwidth crunch that remains a core threat to mobile user experience today. A number of theoretical works have established the significant benefits enabled by PHY cooperation; system implementations have also validated that it is feasible for current devices to support PHY cooperation [8,5,6]. However, a crucial missing piece remains: how does one implement PHY adaptation over cooperative networks?…”

Section: Introductionmentioning

confidence: 99%

“…We build upon our PHY cooperation scheme DIQIF [5] and customize it for two relay cooperation. We explore the benefits that two relays can enable in practice.…”

Section: Introductionmentioning

confidence: 99%

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Consistency in the face of change: an adaptive approach to physical layer cooperation

Sengupta,

Ezzeldin,

Brahma

et al. 2016

Preprint

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Most existing works on physical-layer (PHY) cooperation (beyond routing) focus on how to best use a given, static relay network-while wireless networks are anything but static. In this paper, we pose a different set of questions: given that we have multiple devices within range, which relay(s) do we use for PHY cooperation, to maintain a consistent target performance? How can we efficiently adapt, as network conditions change? And how important is it, in terms of performance, to adapt? Although adapting to the best path when routing is a well understood problem, how to do so over PHY cooperation networks is an open question. Our contributions are: (1) We demonstrate via theoretical evaluation, a diminishing returns trend as the number of deployed relays increases. ( 2) Using a simple algorithm based on network metrics, we efficiently select the sub-network to use at any given time to maintain a target reliability. (3) When streaming video from Netflix, we experimentally show (using measurements from a WARP radio testbed employing DIQIF relaying) that our adaptive PHY cooperation scheme provides a throughput gain of 2x over nonadaptive PHY schemes, and a gain of 6x over genie-aided IP-level adaptive routing.not expect "fast-fading", as can occur in (LTE-based) cellular networks for objects moving at high velocities.

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Section: Related Workmentioning

confidence: 99%

Section: Cooperative Transmission Schemementioning

confidence: 99%

“…DIQIF [5] for a 1-relay mode operates as follows. The relay first attempts to decode its received signal.…”

Section: Relaying Strategymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…We build upon our PHY cooperation scheme DIQIF [5] and customize it for two relay cooperation. We explore the benefits that two relays can enable in practice.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Consistency in the face of change: an adaptive approach to physical layer cooperation

Sengupta,

Ezzeldin,

Brahma

et al. 2016

Preprint

Self Cite

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On the method of approximation and quantization of information transmission through communication channels

Turdimatov,

Xusanova,

Sadirova

et al. 2024

E3S Web of Conf.

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This article discusses the issues of information transmission over communication channels based on an adjacent algorithm for signal approximation and sampling. The nature of the communication channel is described, which is a set of technical means for transmitting messages from one point in space to another. It is proved that the transmission is most often carried out in conditions of unavoidable interference. From this point of view, to eliminate gaps, an approximation method is used for a continuous message converted into an electrical form of the primary x(t), which can be converted into a discrete form (sequence of numbers) using the process of taking samples at certain intervals. It is proved that from a practical point of view, the intervals are taken to be the same and equal to a certain value. The mathematical expectation of quantization noise is used to determine interference and signal quality. Legendre's interpolation polynomial is used to reconstruct the signals. The computational procedure for adaptive sampling can be implemented in hardware. The introduction substantiates the relevance of the publication of this scientific article based on the analysis of the available scientific results of scientific research in the field of signal processing and transmission by quantization and approximation. The summary lists the results obtained in the framework of scientific research and discusses their theoretical and practical significance.

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