Resource allocation and cross-layer control in wireless networks
General Material Designation
[Book]
First Statement of Responsibility
/ Leonidas Georgiados, Michael J. Neely and Leandros Tassiulas
.PUBLICATION, DISTRIBUTION, ETC
Place of Publication, Distribution, etc.
Hanover, Mass.
Name of Publisher, Distributor, etc.
: Now Publishers,
Date of Publication, Distribution, etc.
, c2006.
PHYSICAL DESCRIPTION
Specific Material Designation and Extent of Item
1 electronic text (144 p. ill.) , digital file.
SERIES
Series Title
(Foundations and trends in networking, 1554-0588
Volume Designation
; v. 1, issue 1, p. 1-144)
GENERAL NOTES
Text of Note
Title from PDF (viewed on March 17, 2009).
NOTES PERTAINING TO PUBLICATION, DISTRIBUTION, ETC.
Text of Note
Electronic
INTERNAL BIBLIOGRAPHIES/INDEXES NOTE
Text of Note
Includes bibliographical references (p. 134-144).
CONTENTS NOTE
Text of Note
Information flow in a telecommunication network is accomplished through the interaction of mechanisms at various design layers with the end goal of supporting the information exchange needs of the applications. In wireless networks in particular, the different layers interact in a nontrivial manner in order to support information transfer. In this text we will present abstract models that capture the cross-layer interaction from the physical to transport layer in wireless network architectures including cellular, ad-hoc and sensor networks as well as hybrid wireless-wireline. The model allows for arbitrary network topologies as well as traffic forwarding modes, including datagrams and virtual circuits. Furthermore the time varying nature of a wireless network, due either to fading channels or to changing connectivity due to mobility, is adequately captured in our model to allow for state dependent network control policies. Quantitative performance measures that capture the quality of service requirements in these systems depending on the supported applications are discussed, including throughput maximization, energy consumption minimization, rate utility function maximization as well as general performance functionals. Cross-layer control algorithms with optimal or suboptimal performance with respect to the above measures are presented and analyzed. A detailed exposition of the related analysis and design techniques is provided.
Text of Note
Abstract -- 1. Introduction -- 2. The network model and operational assumptions -- 3. Stability and network capacity -- 4. Dynamic control for network stability -- 5. Networking outside of the capacity region: utility optimization and fairness -- 6. Networking with general costs and rewards -- 7. Final remarks -- Acknowledgements -- References.
SERIES
Title
Foundations and trends in networking (Online) ; v. 1, issue 1, p. 1-144