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Cross-layer interaction in cellular ...

Stanford University.

Cross-layer interaction in cellular ad hoc networks.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Cross-layer interaction in cellular ad hoc networks.
作者:	Wang, Raymond.
面頁冊數:	115 p.
附註:	Adviser: Donald C. Cox.
附註:	Source: Dissertation Abstracts International, Volume: 66-04, Section: B, page: 2245.
Contained By:	Dissertation Abstracts International66-04B.
標題:	Engineering, Electronics and Electrical.
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3171823
ISBN:	0542087316

Cross-layer interaction in cellular ad hoc networks.
Wang, Raymond.

Cross-layer interaction in cellular ad hoc networks. - 115 p.

Adviser: Donald C. Cox.

Thesis (Ph.D.)--Stanford University, 2005.

Also, an accurate model of the physical layer in ad hoc networking research is something frequently taken for granted. We see through our cross-layer simulation platform and the accompanying details that noticeable changes in network performance accompany subtle differences in assumptions at lower layers, especially the physical layer. Specifically, in terms of the Layer 1, the physical (PHY) layer, we consider the effect of various architectures and user distributions, fading scenarios, and channel estimation errors. In terms of Layer 2, the media access control (MAC)/logical link control (LLC) layer, we consider the effect of adjusting the maximum number of ARQ retranmissions allowed on a link and the maximum number of hops allowed for a frame by our centralized scheduler.

ISBN: 0542087316Subjects--Topical Terms:

226981
Engineering, Electronics and Electrical.

Cross-layer interaction in cellular ad hoc networks.
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520 # $a Also, an accurate model of the physical layer in ad hoc networking research is something frequently taken for granted. We see through our cross-layer simulation platform and the accompanying details that noticeable changes in network performance accompany subtle differences in assumptions at lower layers, especially the physical layer. Specifically, in terms of the Layer 1, the physical (PHY) layer, we consider the effect of various architectures and user distributions, fading scenarios, and channel estimation errors. In terms of Layer 2, the media access control (MAC)/logical link control (LLC) layer, we consider the effect of adjusting the maximum number of ARQ retranmissions allowed on a link and the maximum number of hops allowed for a frame by our centralized scheduler.
520 # $a As research on cross-layer interaction in ad hoc networks is scarce, we herein consider cross-layer interaction in, specifically, cellular ad hoc networks. This is done via a novel, large-scale, scalable, cross-layer simulation where, first and foremost, every entity in the universe is a potential source of interference. Focusing on the downlink, we consider the question of whether it is better to deploy relays as opposed to simply more base stations by considering performance metrics of throughput, delay, number of hops, blocking, ARQ retransmissions, and dropping.
520 # $a Incorporating relays is the first step in an evolution of wide area wireless information networks from the extreme of the cellular paradigm to the opposite extreme of ad hoc. Ad hoc networks, once referred to as packet radio networks in the 1970s, have garnered a significant amount of attention recently. Their proponents claim that ad hoc networks are the future. Typically formed on-the-fly and without requiring preexisting infrastructure or centralized administration, ad hoc networks are often peer-to-peer, with flexible topologies and support for multihop routing. Among the many proposed applications, one stands out as being more feasible than the rest, i.e. the future of cellular wireless networks could see "cellular ad hoc" networks that use multihop transmission through relays as a means of improving performance of existing cellular systems at a reasonable price.
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