SoftCast: Clean-slate scalable wireless video

Jakubczak, Szymon; Katabi, Dina

doi:10.1109/allerton.2010.5706952

Cited by 35 publications

(56 citation statements)

References 37 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Each building is made up of offices; of size 6.2m × 6.2m. 9 Corridors are not considered, as they would lead to a further complication of the channel model.…”

Section: A Deployment Environmentsmentioning

confidence: 99%

See 1 more Smart Citation

Wireless Device-to-Device Caching Networks: Basic Principles and System Performance

Caire

Molisch

2016

IEEE J. Select. Areas Commun.

540

481

View full text Add to dashboard Cite

As wireless video is the fastest-growing form of data traffic, methods for spectrally efficient ondemand wireless video streaming are essential to both service providers and users. A key property of video on-demand is the asynchronous content reuse, such that a few popular files account for a large part of the traffic, but are viewed by users at different times. Caching of content on wireless devices in conjunction with device-to-device (D2D) communications allows to exploit this property, and provide a network throughput that is significantly in excess of both the conventional approach of unicasting from cellular base stations and the traditional D2D networks for "regular" data traffic. This paper presents in a tutorial and concise form some recent results on the throughput scaling laws of wireless networks with caching and asynchronous content reuse, contrasting the D2D approach with a few other competing approaches including conventional unicasting, harmonic broadcasting and a novel coded multicasting approach based on combinatorial cache design and network coded transmission from the cellular base station only. Somehow surprisingly, the D2D scheme with spatial reuse and simple decentralized random caching achieves the same near-optimal throughput scaling law as coded multicasting. Both schemes achieve an unbounded throughput gain (in terms of scaling law) with respect to conventional unicasting and harmonic broadcasting, in the relevant regime where the number of video files in the library is smaller than the total size of the distributed cache capacity in the network. In order to better understand the relative merits of these competing approaches, we consider a holistic D2D system design that incorporates traditional microwave (2 GHz) as well as millimeter-wave (mm-wave) D2D links; the direct connections to the base station can be used to provide those rare video requests that cannot be found in local caches.We provide extensive simulation results under a variety of system settings, and compare our scheme with conventional unicasting, harmonic broadcasting and coded multicasting. We show that, also in realistic conditions and non-asymptotic regimes, in realistic conditions and non-asymptotic regimes the proposed D2D approach offers very significant throughput gains with respect to the base station-only schemes.The authors are with the

show abstract

“…Each building is made up of offices; of size 6.2m × 6.2m. 9 Corridors are not considered, as they would lead to a further complication of the channel model.…”

Section: A Deployment Environmentsmentioning

confidence: 99%

“…However, as we will see in the following, there are subtleties that depend on the carrier frequency and 9 The motivation for this size stems from the line-of-sight (LOS) model (see below); we choose the office size such that it results in a LOS probability of 0.5 if two devices are half the office dimensions apart from each other.…”

Section: ) Los Probabilitymentioning

confidence: 99%

Wireless Device-to-Device Caching Networks: Basic Principles and System Performance

Caire

Molisch

2016

IEEE J. Select. Areas Commun.

540

481

View full text Add to dashboard Cite

show abstract

“…Katabi et al [21][22][23] have proposed the SoftCast scheme, which can broadcast one coded video signal to multiple receivers, while all the receivers can decode videos matching their channel qualities. SoftCast mainly consists of four parts: decorrelation, power allocation, whitening, and linear least square estimator (LLSE) decoding.…”

Section: Softcastmentioning

confidence: 99%

“…Another popular approach is SoftCast, [21][22][23] which transmits analog signals directly. SoftCast broadcasts one video to all the receivers without allocating different bit-rates to different receivers, and, at the same time, the decoded video on each receiver matches up to their channel.…”

Section: Introductionmentioning

confidence: 99%

Hybrid digital-analog video transmission in wireless multicast and multiple-input multiple-output system

Liu

Lin

Fan

et al. 2016

J. Electron. Imaging

View full text Add to dashboard Cite

Abstract. Wireless video multicast has become one of the key technologies in wireless applications. But the main challenge of conventional wireless video multicast, i.e., the cliff effect, remains unsolved. To overcome the cliff effect, a hybrid digital-analog (HDA) video transmission framework based on SoftCast, which transmits the digital bitstream with the quantization residuals, is proposed. With an effective power allocation algorithm and appropriate parameter settings, the residual gains can be maximized; meanwhile, the digital bitstream can assure transmission of a basic video to the multicast receiver group. In the multiple-input multiple-output (MIMO) system, since nonuniform noise interference on different antennas can be regarded as the cliff effect problem, ParCast, which is a variation of SoftCast, is also applied to video transmission to solve it. The HDA scheme with corresponding power allocation algorithms is also applied to improve video performance. Simulations show that the proposed HDA scheme can overcome the cliff effect completely with the transmission of residuals. What is more, it outperforms the compared WSVC scheme by more than 2 dB when transmitting under the same bandwidth, and it can further improve performance by nearly 8 dB in MIMO when compared with the ParCast scheme. © The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

show abstract

“…Meanwhile, there are several works appearing in the area of soft video transmission. For instance, the bandwidth expansion problem of soft video coding is solved by layered coset coding [8]; a gradient-based framework is proposed in [9] for wireless soft video broadcast; the compressive sensing (CS) is integrated into multiple-input multipleoutput (MIMO) transmission to make sure that the reconstructed image/video quality is commensurate with the channel SNR and the MIMO dimension [10,11]; the multipath case of the SoftCast is investigated in [12] in which high-energy DCT coefficients are assigned to a "good" subcarrier; and a real soft video broadcast system has been implemented and some PHY layer issues have been solved in [13].…”

Section: Introductionmentioning

confidence: 99%

A wireless video multicasting scheme based on multi-scale compressed sensing

Wang

et al. 2015

EURASIP J. Adv. Signal Process.

View full text Add to dashboard Cite

Video multicast is becoming more and more popular in wireless multimedia applications, in which one major challenge is to offer heterogeneous users with a graceful degradation against varying packet loss ratios and channel noise. In this paper, we propose a multi-scale compressed sensing-based wireless video multicast scheme, abbreviated as MCS-cast. The encoder of MCS-cast decomposes each video frame through a discrete wavelet transform (DWT) and explores an optimized compressed sensing (CS) rate to sample/measure each DWT level. The CS measurements are then packed in such a way that all packets are made as equally important as possible, while each packet includes different percentages of different DWT levels. Finally, the packets are transmitted via an analog-like modulator with mapping of the measurements into a very dense constellation. We demonstrate that because of larger percentages of more important DWT levels in each packet, packet loss leads to a much reduced influence on the reconstruction quality. Experimental results show that our MCS-cast preserves the property of graceful degradation for heterogeneous users and can outperform the state-of-the-art SoftCast by up to 3 dB in PSNR at high packet loss ratios (over the same noisy channel).

show abstract

SoftCast: Clean-slate scalable wireless video

Cited by 35 publications

References 37 publications

Wireless Device-to-Device Caching Networks: Basic Principles and System Performance

Wireless Device-to-Device Caching Networks: Basic Principles and System Performance

Hybrid digital-analog video transmission in wireless multicast and multiple-input multiple-output system

A wireless video multicasting scheme based on multi-scale compressed sensing

Contact Info

Product

Resources

About