Foundations and Trends (R) in Networking
1 total work
Monotonic Optimization in Communication and Networking Systems
by Ying Jun Zhang, Liping Qian, and Jianwei Huang
Published 16 October 2013
Global data traffic reached 885 petabytes per month in 2012, which is more than ten times the global internet traffic in the entire year of 2000. This rapid growth in demand is driving the research community to develop evolutionary and revolutionary approaches that push communication and networking system performance towards new limits. To this end, optimization techniques have proven extremely useful. One major obstacle in this endeavor lies in the non-convexity of many optimization problems that arise from practical systems.
Monotonic Optimization in Communication and Networking Systems observes, however, that most nonconvex problems encountered in communication and networking systems exhibit monotonicity or hidden monotonicity structures. Systematic use of the monotonicity properties can substantially alleviate the difficulty in obtaining global optimal solutions for these problems.
This book provides a succinct and accessible introduction to monotonic optimization, including formulation skills and solution algorithms. Through several application examples, it illustrates modeling techniques and algorithmic details of monotonic optimization in various scenarios. With this promising technique, many previously difficult problems can now be solved with great efficiency.
With Monotonic Optimization in Communication and Networking Systems, it is hoped that new research activities will be spurred on that will broaden the scope of application of monotonic optimization in communication and networking systems.
Monotonic Optimization in Communication and Networking Systems observes, however, that most nonconvex problems encountered in communication and networking systems exhibit monotonicity or hidden monotonicity structures. Systematic use of the monotonicity properties can substantially alleviate the difficulty in obtaining global optimal solutions for these problems.
This book provides a succinct and accessible introduction to monotonic optimization, including formulation skills and solution algorithms. Through several application examples, it illustrates modeling techniques and algorithmic details of monotonic optimization in various scenarios. With this promising technique, many previously difficult problems can now be solved with great efficiency.
With Monotonic Optimization in Communication and Networking Systems, it is hoped that new research activities will be spurred on that will broaden the scope of application of monotonic optimization in communication and networking systems.