2015 **Abstract:** Resource allocation is expected to be a most important factor especially for heterogeneous applications in wireless ad hoc networks. In this paper, a novel heterogeneous resource allocation algorithm (HRA) is presented for ad hoc networks, supporting both elastic and inelastic traffic. First, by combining the first order Lagrangian method with pseudo utility, the original nonconvex problem is converted into a new convex one. Then, we successfully solve the heterogeneous problem with the dual-based decompositio…

Help me understand this report

Search citation statements

Paper Sections

Select...

1

1

Citation Types

0

2

0

Year Published

2016

2016

Publication Types

Select...

1

Relationship

0

1

Authors

Journals

(2 citation statements)

(60 reference statements)

0

2

0

“…When the algorithm reaches a stable state, denoted as (17) At the stable state, the associated utility U s of source s is equal to…”

confidence: 99%

“…When the algorithm reaches a stable state, denoted as (17) At the stable state, the associated utility U s of source s is equal to…”

confidence: 99%

“…Their max-min fair flow control algorithms are hence impractical from an engineering point of view. Furthermore, in order to cope with different users with different QoS requirements, a new criterion named utility max-min fairness is initially proposed in [15] and later on comes various bandwidth allocation algorithms [16,17]. Particularly in [15], the links require the information of utility functions from all the traversed sources, which makes network implementation difficult.…”

confidence: 99%