Cross-layer design: a survey and the road ahead

Srivastava, Vineet; Motani, Mehul

doi:10.1109/mcom.2005.1561928

Cited by 795 publications

(464 citation statements)

References 12 publications

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“…Such applications call for cross-layer designs, where the abstractions of the OSI model are weakened with APIs that enable the control of aspects of the lower layers (cf. [23] and below). In addition, by using different protocols over the same net, one may obtain different network qualities, such as lossy and fast versus non-lossy and slow, or FIFO and slow versus reordering and fast.…”

Section: Modeling Of Network Informationmentioning

confidence: 91%

“…The chosen primitives enable cross-layer designs of wireless network applications, which arise from the necessity to adapt properties of lower layers to the applications under design [23]. Such designs allow to adapt the network for better quality of service [19] or to optimize its energy consumption [10].…”

Section: Modeling Of Network Informationmentioning

confidence: 99%

“…In many cases, the behavioral properties of the modeled system depend on the specific properties of the net. For such systems, it is desirable to enable cross-layer designs [23] by reflecting aspects of the (low-level) connectivity in the high-level modeling language.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

An Object-Oriented Component Model for Heterogeneous Nets

Johnsen

Owe

Björk

et al. 2008

Formal Methods for Components and Objects

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Abstract. Many distributed applications can be understood in terms of components interacting in an open environment. This interaction is not always uniform as the network may consist of subnets with different quality: Some components are tightly connected with order preservation of communicated messages, whereas others are more loosely connected such that overtaking of messages and even message loss may occur. Furthermore, certain components may communicate over wireless networks, where sending and receiving must be synchronized, since the wireless medium cannot buffer messages. This paper proposes a formal framework for such systems, which allows high-level modeling and formal analysis of distributed systems where interaction is managed by a variety of nets, including wireless ones. We introduce a simple modeling language for objectoriented components, extending the Creol language. An operational semantics for the language is defined in rewriting logic, which directly provides an executable implementation in Maude.

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Section: Modeling Of Network Informationmentioning

confidence: 91%

Section: Modeling Of Network Informationmentioning

confidence: 99%

See 1 more Smart Citation

An Object-Oriented Component Model for Heterogeneous Nets

Johnsen

Owe

Björk

et al. 2008

Formal Methods for Components and Objects

View full text Add to dashboard Cite

show abstract

“…However, this strict separation is not suitable Fig. 7 Using a modular approach, functionality is divided in modules which interact through a cross-layer data repository for wireless networks [22,29]. The use of cross-layer approaches have several advantages: optimization is possible at several layers at once, a global optimization can be achieved and conflicts in optimizations at different layers can be avoided.…”

Section: Modular Frameworkmentioning

confidence: 99%

Symbiotic Networks: Towards a New Level of Cooperation Between Wireless Networks

Poorter

Latré

Moerman

et al. 2008

Wireless Pers Commun

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In the future, many wireless networks, serving diverse applications, will co-exist in the same environment. Today, wireless networks are mostly optimized in a rather opportunistic and/or selfish way: optimizations methods only use a local view of the network and environment, as they try to achieve the best performance within its own network. The optimizations are very often limited to a single layer and cooperation between networks is only happening through the use of gateways. In this paper, we suggest an alternative paradigm for supporting cooperation between otherwise independent networks, called 'symbiotic networking'. This new paradigm can take many forms, such as sharing of network resources, sharing of nodes for communal routing purposes and sharing of (networking) services. Instead of optimizing network parameters within the individual networks, symbiotic networking solutions operate across network boundaries. Parameters are optimized between the networks and communal protocols are developed, leading to a more global optimization of the scarce network resources. In this paper, we describe several scenarios which can profit from symbiotic networking and illustrate a strategy for supporting networking protocols which can operate across network boundaries. Ultimately, through the disappearance of network boundaries and the introduction of cross-layer/cross-node/cross-network cooperation, symbiotic networks takes the notion of cooperation to a new level, paving the way for a true network symbiosis.

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“…To obtain performance gains and to increase spectral efficiency (SE) of a system, the dependency between different protocol layers is often exploited to take advantage of the opportunistic communications and the multitude of operation modes available in the wireless link [3]. It opens new dimensions for research in cross-layer design and optimization.…”

Section: Introductionmentioning

confidence: 99%

Link adaptation for wireless systems

Tran

Eltawil

2012

Wirel. Commun. Mob. Comput.

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To improve the robustness and reliability of wireless transmissions, two complementary link adaptation techniques are employed: adaptive modulation and coding (AMC) at the physical layer and hybrid automatic retransmission request (HARQ) at the medium access control layer. Because of their effectiveness in combating errors induced by the wireless channel, AMC and HARQ are now integral components of most emerging broadband wireless system standards, for example, LTE and WiMAX. Spectral efficiency (SE) as measured in bit per second per Hertz is one important parameter used to characterize a wireless system for comparison between different systems or between different configurations of the same system. This work provides a holistic approach of cross-layer optimizations with the intent of maximizing SE by combining AMC and HARQ. It formulates closed-form equations for calculating the average SE for wireless systems with the Rayleigh fading channel model. A new online algorithm is developed to optimize SE for both Rayleigh and nonRayleigh fading channel. Simulations using proven LTE model are performed to compare SE obtained from closed-form equations and the developed algorithm for different system configurations. With the developed algorithm to determine how many retransmissions required in addition to the initial transmission in advance depending on the current wireless channel condition, the latency can be reduced up to 24 ms when sending the initial transmission and all of its retransmissions sooner than waiting for retransmission requests as is done previously.

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Cross-layer design: a survey and the road ahead

Cited by 795 publications

References 12 publications

An Object-Oriented Component Model for Heterogeneous Nets

An Object-Oriented Component Model for Heterogeneous Nets

Symbiotic Networks: Towards a New Level of Cooperation Between Wireless Networks

Link adaptation for wireless systems

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