NDLI: On the achievable rate of three-node cognitive hybrid wireless networks

Content Provider	IEEE Xplore Digital Library
Author	Kyounghwan Lee Yener, A.
Copyright Year	2005
Description	Author affiliation: Dept. of Electr. Eng., Pennsylvania State Univ., University Park, PA, USA (Kyounghwan Lee; Yener, A.)
Abstract	In this paper, we investigate the information-theoretic performance of the multi-band relay channel which is defined by a source node, a relay node, and a destination node communicating over multiple orthogonal bands. The model is motivated by the vision of hybrid wireless networks where links operating with different communication standards relay information from the source to the destination. We consider hybrid wireless networks, with cognitive and agile radios, where bandwidth and power are the shared resources between different systems. We first provide the capacity bounds and find the optimum resource allocation that maximizes the achievable rate for a simple network. Based on the allocation strategy found, we next study the impact of optimum resource allocation on the construction of a hybrid wireless network, in particular, the scenario where a new source to relay and destination band is added to a classical frequency division relay network. Given the channel conditions of the network, we establish the guidelines on how to allocate resources in order to achieve the higher achievable rates, depending on the relative quality of the available links.
Starting Page	1313
Ending Page	1318
File Size	1385858
Page Count	6
File Format	PDF
ISBN	0780393058
DOI	10.1109/WIRLES.2005.1549602
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-06-13
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wireless communication Strontium Wireless networks Laboratories Spread spectrum communication Frequency conversion Resource management Relays Communication standards Information theory
Content Type	Text
Resource Type	Article

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