Cross-layer optimization made practical

Warrier, Ajit; Le, Long Bao; Rhee, Injong

doi:10.1109/broadnets.2007.4550507

Cited by 15 publications

(11 citation statements)

References 12 publications

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“…Empirical data also reveal that there is a linear relation between and the relative PSNR decrement for the th frame which can be expressed as (4) where is the PSNR value for the th frame. This relation can be analytically derived from the equations that parameterize the source coding distortions reported in [24].…”

Section: Rate-distortion Modeling At Application Layermentioning

confidence: 95%

“…; • the computational complexity of the proposed solving methods; • the continuous changing of the channel conditions , requiring a continuous update of the system parameters. Different analytic techniques have been proposed to solve this cross-layer optimization problem (convex programming, Lagrange duality, stochastic stability and many others [3]), together with heuristic approaches [4], learning and classification methods [5], and bargaining theory [6]. 1520-9210/$25.00 © 2009 IEEE This paper shows how it is possible to design an efficient optimization algorithm by adequately modeling the parameters of the video coder as functions of the percentage of null quantized DCT coefficients (called zeros), which has already proved to be an accurate modeling parameter for the coding bit rate [7], [8].…”

Section: Introductionmentioning

confidence: 99%

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A Low-Complexity Cross-Layer Optimization Algorithm for Video Communication Over Wireless Networks

Milani

Calvagno

2009

IEEE Trans. Multimedia

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Recent years have witnessed a rapid increment in video applications over wireless networks including on-demand video streaming and videophoning. This growth has also brought the need to find a good compromise in the conflict between resource limitations affecting mobile devices and the desire for high-quality multimedia services. It is possible to face this problem adopting a cross-layer strategy that jointly tunes the parameters of each layer in the network protocol stack. In this optimization strategy, complexity is one of the most significant issues because of the limited computational resources and power supply. The paper presents a low-complexity cross-layer algorithm that is able to jointly tune the parameters of different protocol layers by adopting simple but effective models. The quality of the reconstructed video sequence, the produced bit rate, and the service class associated to each packet are seen as functions of the percentage of null DCT coefficients. This modeling permits to find a closed-form solution to the joint optimization problem that can be computed with a limited number of operations and grants, at the same time, a good visual quality in the reconstructed sequence

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Section: Rate-distortion Modeling At Application Layermentioning

confidence: 95%

Section: Introductionmentioning

confidence: 99%

A Low-Complexity Cross-Layer Optimization Algorithm for Video Communication Over Wireless Networks

Milani

Calvagno

2009

IEEE Trans. Multimedia

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“…The simulation results provided show that the scheduling algorithm achieved an optimum trade-off between throughput and fairness. In Warrier et al [19], the gap between existing theoretical cross-layer optimization designs and practical approaches is examined.…”

Section: Power Adaptation Over Tfrcmentioning

confidence: 99%

Power management adaptation techniques for video transmission over TFRC

et al. 2011

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SUMMARYIn this paper, we describe power management adaptation techniques for wireless video transmission using the TCP Friendly Rate Control (TFRC) protocol that take into account feedback about the received video quality and try to intelligently adapt transmitting power accordingly. The purpose of the mechanisms is to utilize TFRC feedback and thus achieve a beneficial balance between power consumption and the received video quality. There are two power adaptation mechanisms proposed, each one with its own advantages. They both offer significant improvements when used in terms of both power consumption and received video quality. We use simulation in order to compare and evaluate our approach.

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“…Neighborhood RED [14] proposes a variant of the RED algorithm, whereby queues at nodes within two hops are also taken into account, and not just the local queue. Warrier et al have proposed a cross-layer architecture that is based on recent theoretical work on cross-layer optimization [15] Traffic-aware channel assignment in LANs has been considered in [16]. For LANs with uncoordinated access points, it has been proposed in [17], that channel-hopping can help prevent worst-case scenarios, and provide good average case performance.…”

Section: Related Workmentioning

confidence: 99%

Channel and Interface Management in a Heterogeneous Multi-Channel Multi-Radio Wireless Network

Bhandari

Vaidya

2009

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As new application scenarios for multi-hop wireless networks emerge, there has been an effort to improve performance in these networks by leveraging available physical layer diversity in the form of multiple channels, radio-interfaces, antennas, etc. However, designing cross-layer protocols that are capable of addressing a wide range of heterogeneous hardware characteristics can be very challenging. Theoretical results on scheduling provide a valuable set of tools to understand the structure of good network control algorithms for diverse scenarios; but these usually involve highly idealized assumptions that hinder their applicability. In this paper, we present a Layer 2.5 protocol solution for multi-channel multiradio wireless networks with heterogeneous channel and radio-interface characteristics, whose design draws upon known theoretical results, but which takes into account practical concerns that arise in real-world networks. This design provides a proof-of-concept of the possibility of evolving practical cross-layer designs that are rooted in sound theoretical principles.

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Cross-layer optimization made practical

Cited by 15 publications

References 12 publications

A Low-Complexity Cross-Layer Optimization Algorithm for Video Communication Over Wireless Networks

A Low-Complexity Cross-Layer Optimization Algorithm for Video Communication Over Wireless Networks

Power management adaptation techniques for video transmission over TFRC

Channel and Interface Management in a Heterogeneous Multi-Channel Multi-Radio Wireless Network

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