國立虎尾科技大學 |

Submodular Rate Region Models for Multicast Communication in Wireless Networks

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Submodular Rate Region Models for Multicast Communication in Wireless Networks/ by Maximilian Riemensberger.
作者:	Riemensberger, Maximilian.
面頁冊數:	XXIII, 281 p. 52 illus.online resource. :
Contained By:	Springer Nature eBook
標題:	Electrical engineering. -
電子資源:	https://doi.org/10.1007/978-3-319-65232-0
ISBN:	9783319652320

Submodular Rate Region Models for Multicast Communication in Wireless Networks
Riemensberger, Maximilian.

Submodular Rate Region Models for Multicast Communication in Wireless Networks[electronic resource] /by Maximilian Riemensberger. - 1st ed. 2018. - XXIII, 281 p. 52 illus.online resource. - Foundations in Signal Processing, Communications and Networking,141863-8538 ;. - Foundations in Signal Processing, Communications and Networking,11.

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.

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.

ISBN: 9783319652320

Standard No.: 10.1007/978-3-319-65232-0doiSubjects--Topical Terms:

596380
Electrical engineering.

LC Class. No.: TK1-9971

Dewey Class. No.: 621.382

Submodular Rate Region Models for Multicast Communication in Wireless Networks
LDR:02462nam a22004095i 4500 001 999036
003 DE-He213
005 20200705161506.0
007 cr nn 008mamaa
008 201225s2018 gw | s |||| 0|eng d
020 $a 9783319652320 $9 978-3-319-65232-0
024 7 $a 10.1007/978-3-319-65232-0 $2 doi
035 $a 978-3-319-65232-0
050 4 $a TK1-9971
072 7 $a TJK $2 bicssc
072 7 $a TEC041000 $2 bisacsh
072 7 $a TJK $2 thema
082 0 4 $a 621.382 $2 23
100 1 $a Riemensberger, Maximilian. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1290587
245 1 0 $a Submodular Rate Region Models for Multicast Communication in Wireless Networks $h [electronic resource] / $c by Maximilian Riemensberger.
250 $a 1st ed. 2018.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2018.
300 $a XXIII, 281 p. 52 illus. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Foundations in Signal Processing, Communications and Networking, $x 1863-8538 ; $v 14
505 0 $a 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.
520 $a 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.
650 0 $a Electrical engineering. $3 596380
650 0 $a Graph theory. $3 527884
650 0 $a Application software. $3 528147
650 0 $a Functional analysis. $3 527706
650 1 4 $a Communications Engineering, Networks. $3 669809
650 2 4 $a Graph Theory. $3 786670
650 2 4 $a Information Systems Applications (incl. Internet). $3 881699
650 2 4 $a Functional Analysis. $3 672166
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783319652313
776 0 8 $i Printed edition: $z 9783319652337
776 0 8 $i Printed edition: $z 9783319879802
830 0 $a Foundations in Signal Processing, Communications and Networking, $x 1863-8538 ; $v 11 $3 1258648
856 4 0 $u https://doi.org/10.1007/978-3-319-65232-0
912 $a ZDB-2-ENG
912 $a ZDB-2-SXE
950 $a Engineering (SpringerNature-11647)
950 $a Engineering (R0) (SpringerNature-43712)