Energy and Spectrum Efficient Wireless Network Design

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Cambridge University Press, 27 nov. 2014
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Covering the fundamental principles and state-of-the-art cross-layer techniques, this practical guide provides the tools needed to design MIMO- and OFDM-based wireless networks that are both energy- and spectrum-efficient. Technologies are introduced in parallel for both centralized and distributed wireless networks to give you a clear understanding of the similarities and differences between their energy- and spectrum-efficient designs, which is essential for achieving the highest network energy saving without losing performance. Cutting-edge green cellular network design technologies, enabling you to master resource management for next-generation wireless networks based on MIMO and OFDM, and detailed real-world implementation examples are provided to guide your engineering design in both theory and practice. Whether you are a graduate student, a researcher or a practitioner in industry, this is an invaluable guide.
 

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Innehåll

Wireless channel properties
15
Spectral and energy efficiency of wireless networks
24
Centralized resource management in wireless networks
31
Distributed resource management in wireless networks
43
Overview
55
Utilitybased optimization framework for OFDMA
61
Algorithm development for utilitybased optimization
72
Joint channel and queueaware multicarrier scheduling using delaybased
94
any network topology
164
Optimal channelaware distributed MAC
182
Opportunistic random access with intelligent interference avoidance
203
Distributed power control
217
Overview
237
Energyefficient transmission
244
Centralized energyefficient wireless resource management
282
Distributed energyefficient wireless resource management
301

Utilitybased generalized QoS scheduling for heterogeneous traffic
117
Asymptotic performance analysis for channelaware scheduling
126
Overview
149
Energyefficient cellular network design
321
Implementation in practice
335
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Om författaren (2014)

Guowang Miao is an Assistant Professor in the Department of Communications Systems at KTH Royal Institute of Technology, Sweden. After receiving his PhD in electrical and computer engineering from Georgia Institute of Technology, USA, in 2009, he spent two years working in industry as a Senior Standard Engineer at Samsung Telecom America. His current research interests are in the design and optimization of wireless communications and networking.

Guocong Song is currently Principal Research Engineer at ShareThis, Palo Alto, California. He has been working in wireless communications and networks for a decade, since receiving his PhD in electrical and computer engineering from Georgia Institute of Technology. He received the 2010 IEEE Stephen O. Rice Prize for the best paper in the field of communications theory, and he is recently active in the area of data science and machine learning.

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