About: Shannon Theory 2.0   Sponge Permalink

An Entity of Type : owl:Thing, within Data Space : 134.155.108.49:8890 associated with source dataset(s)

Shannon theory has been crucial to develop simplified wireless communication systems which are forced to have a number of strict assumptions such as hard limitation on inter-user interference. For the simplified communication systems, it has been revealed that the throughput performance of the system can be unbelievably close to the theoretical bound provided by the Shannon theory. However, communication researchers recently found that it is necessary to evolve the original Shannon theory to analyze emerging complex wireless communication systems. Intermediate examples of complex wireless communication systems are the MIMO and MU-MIMO systems and the regular example is the cooperative relay system, where to find the optimal performance, the former systems require the reasonable update of t

AttributesValues
rdfs:label
  • Shannon Theory 2.0
rdfs:comment
  • Shannon theory has been crucial to develop simplified wireless communication systems which are forced to have a number of strict assumptions such as hard limitation on inter-user interference. For the simplified communication systems, it has been revealed that the throughput performance of the system can be unbelievably close to the theoretical bound provided by the Shannon theory. However, communication researchers recently found that it is necessary to evolve the original Shannon theory to analyze emerging complex wireless communication systems. Intermediate examples of complex wireless communication systems are the MIMO and MU-MIMO systems and the regular example is the cooperative relay system, where to find the optimal performance, the former systems require the reasonable update of t
dcterms:subject
dbkwik:humancommun...iPageUsesTemplate
abstract
  • Shannon theory has been crucial to develop simplified wireless communication systems which are forced to have a number of strict assumptions such as hard limitation on inter-user interference. For the simplified communication systems, it has been revealed that the throughput performance of the system can be unbelievably close to the theoretical bound provided by the Shannon theory. However, communication researchers recently found that it is necessary to evolve the original Shannon theory to analyze emerging complex wireless communication systems. Intermediate examples of complex wireless communication systems are the MIMO and MU-MIMO systems and the regular example is the cooperative relay system, where to find the optimal performance, the former systems require the reasonable update of the original Shannon theory and the later system requires fundamental evolution of the original Shannon theory. J. Andrews and et al. presented that the following points should be revisited or revised to apply the Shannon theory to cooperative relay wireless systems: unbound delay and reliability, spatial and timescale decomposition and overhead consideration.
Alternative Linked Data Views: ODE     Raw Data in: CXML | CSV | RDF ( N-Triples N3/Turtle JSON XML ) | OData ( Atom JSON ) | Microdata ( JSON HTML) | JSON-LD    About   
This material is Open Knowledge   W3C Semantic Web Technology [RDF Data] Valid XHTML + RDFa
OpenLink Virtuoso version 07.20.3217, on Linux (x86_64-pc-linux-gnu), Standard Edition
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2012 OpenLink Software