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Resource Allocation in Wireless Networks: Theory and Algorithms (Lecture Notes in Computer Science) | 
enlarge | Authors: Slawomir Stanczak, Marcin Wiczanowski, Holger Boche Publisher: Springer Category: Book
List Price: $52.95 Buy New: $39.68 You Save: $13.27 (25%)
New (7) Used (1) from $39.68
Sales Rank: 1983329
Media: Paperback Edition: 1 Number Of Items: 1 Pages: 189 Shipping Weight (lbs): 0.7 Dimensions (in): 9.1 x 6.1 x 0.6
ISBN: 3540462481 Dewey Decimal Number: 004 EAN: 9783540462484 ASIN: 3540462481
Publication Date: November 16, 2006 Availability: Usually ships in 1-2 business days Condition: BRAND NEW
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Product Description
The wireless industry is in the midst of a fundamental shift from providing voice-only services to offering customers an array of multimedia services, including a wide variety of audio, video and data communications capabilities. Future wireless networks will be integrated into every aspect of daily life, and therefore could affect our life in a magnitude similar to that of the Internet and cellular phones. This monograph demonstrates that these emerging applications and directions require fundamental understanding on how to design and control wireless networks that lies far beyond what the currently existing theory can provide. It is shown that mathematics is the key technology to cope with central technical problems in the design of wireless networks since the complexity of the problem simply precludes the use of engineering common sense alone to identify good solutions. The main objective of this book is to provide tools for better understanding the fundamental tradeoffs and interdependencies in wireless networks, with the goal of designing resource allocation strategies that exploit these interdependencies to achieve significant performance gains. The book consists of three largely independent parts: theory, applications and appendices. The latter contain foundational apects to make the book more understandable to readers who are not familiar with some basic concepts and results from linear algebra and convex analysis.
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