IEEE Signal Processing Magazine · 2007 · 56 citations · 41 references
EngineeringCommunicationElectrical EngineeringComputer NetworksInformation TheoryWireless CommunicationsChannel CodingCoding TheoryCommunication NetworksError-correcting CodesNetwork Information TheoryWireless NetworksChannelsCodingNetwork CodingRateless CodesRelay ChannelRelay NetworksReliable Message Delivery
Relay networks, which enable multi‑hop or direct communication among terminals to improve coverage and throughput, intersect with rateless coding to allow flexible, efficient coding over such channels. The authors demonstrate that rateless coding naturally fits relay networks and outline design challenges and implementation considerations for this framework.
A framework for coding over relay channels using rateless codes is the intersection of two active areas of research in communications; namely relay networks and rateless coding. We demonstrate that there is a very natural and useful fit between these two areas and describe some design challenges and implementation considerations for this framework. The use of relays in wireless communication networks provide a new dimension to the design space of wireless networks that promises enhancements to both the coverage and throughput of the network. In its simplest form, a relay network is a collection of terminals that are able to transmit, receive, and possibly assist the reliable delivery of information from source terminals to destination terminals. Thus, communication of data through a wireless relay network is not required to be direct; it may pass through a number of other terminals, though direct communication from source to destination is not precluded. In fact, it is possible to simultaneously use single-hop, i.e., direct, and multihop communications paths.
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Capacity of Multi‐antenna Gaussian Channels
Emre Telatar · European Transactions on Telecommunications · 1999 · 11.3K citations · Full text
The capacity of wireless networks
Piyush Gupta, P. R. Kumar · IEEE Transactions on Information Theory · 2000 · 8.4K citations