rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Submodular Rate Region Models for Multicast Communication in Wireless Networks
  name:
    name part: Riemensberger, Maximilian.
    role:
      role term: creator
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2018
    edition: 1st ed. 2018.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XXIII, 281 p. 52 illus. online resource.
  abstract: This book proposes representations of multicast rate regions in wireless networks based on the mathematical concept of submodular functions, e.g., the submodular cut model and the polymatroid broadcast model. These models subsume and generalize the graph and hypergraph models. The submodular structure facilitates a dual decomposition approach to network utility maximization problems, which exploits the greedy algorithm for linear programming on submodular polyhedra. This approach yields computationally efficient characterizations of inner and outer bounds on the multicast capacity regions for various classes of wireless networks.
  table of contents: Introduction -- Submodular Information Flow Models for Multicast Communication -- Network Utility Maximization via Submodular Dual Decomposition -- Network Coding Bounds and Submodularity -- Deterministic and Linear Finite Field Networks -- Erasure Broadcast Networks -- Network Coding Bounds for Gaussian Networks -- Numerical Results for Gaussian Networks -- Concluding Remarks.
  note: by Maximilian Riemensberger.
  subject:
    topic: Electrical engineering
  subject:
    topic: Graph theory
  subject:
    topic: Application software
  subject:
    topic: Functional analysis
  subject:
    topic: Communications Engineering, Networks
  subject:
    topic: Graph Theory
  subject:
    topic: Information Systems Applications (incl. Internet)
  subject:
    topic: Functional Analysis
  classification: TK1-9971
  classification: 621.382
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Foundations in Signal Processing, Communications and Networking, 14
  identifier: 9783319652320
  identifier: https://doi.org/10.1007/978-3-319-65232-0
  record info:
    record creation date: 170830
    record change date: 20191025221122.0
    record identifier: 978-3-319-65232-0