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020 _a9783319652320
024 7 _a10.1007/978-3-319-65232-0
_2doi
040 _bspa
_cES-MaUEC
_dES-MaUEC
041 0 _aeng
050 4 _aTK5103.2
_b2018 EB
100 1 _aRiemensberger, Maximilian
_eautor
_9673300
245 1 0 _aSubmodular Rate Region Models for Multicast Communication in Wireless Networks
_cby Maximilian Riemensberger
264 1 _aCham
_bSpringer International Publishing
_c2018
300 _a1 recurso en línea (XXIII, 281 páginas)
_b52 ilustraciones
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _atext file
_bPDF
490 0 _aFoundations in Signal Processing, Communications and Networking,
_x1863-8538
_v14
490 0 _aEngineering (Springer-11647)
505 0 _aIntroduction -- 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.
520 3 _aThis 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.
988 _aEBSPRINGER_2018
650 7 _2embne
_aSistemas de comunicación inalámbricos
_9158044
650 7 _2embne
_aTelecomunicaciones
_9138448
776 0 8 _iEdición impresa:
_z9783319652313
776 0 8 _iEdición impresa:
_z9783319652337
776 0 8 _iEdición impresa:
_z9783319879802
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-65232-0
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cRD
_n0
998 _b04/2020
_dz
_eb
_zSI