Submodular Rate Region Models for Multicast Communication in Wireless Networks: Foundations in Signal Processing, Communications and Networking, cartea 14
Autor Maximilian Riemensbergeren Limba Engleză Paperback – 12 aug 2018
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Specificații
ISBN-13: 9783319879802
ISBN-10: 3319879804
Pagini: 281
Ilustrații: XXIII, 281 p. 52 illus.
Dimensiuni: 155 x 235 mm
Ediția:Softcover reprint of the original 1st ed. 2018
Editura: Springer International Publishing
Colecția Springer
Seria Foundations in Signal Processing, Communications and Networking
Locul publicării:Cham, Switzerland
ISBN-10: 3319879804
Pagini: 281
Ilustrații: XXIII, 281 p. 52 illus.
Dimensiuni: 155 x 235 mm
Ediția:Softcover reprint of the original 1st ed. 2018
Editura: Springer International Publishing
Colecția Springer
Seria Foundations in Signal Processing, Communications and Networking
Locul publicării:Cham, Switzerland
Cuprins
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.
Textul de pe ultima copertă
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.
Caracteristici
Offers representations of multicast rate regions in wireless networks based on the mathematical concept of submodular functions Establishes a multitude of connections between cut and flow models and the central role played by the submodularity of the cut rate functions Proposes an approach for computationally efficient characterizations of inner and outer bounds on the multicast capacity regions for various classes of wireless networks Includes supplementary material: sn.pub/extras