Abstract
The paper investigates the problem of allocating transmission data rates to users in the Internet. The paper provides a general problem of power and rate allocation that the utility functions can be nonconcave and nondifferetiable, which turns utility maximization into nonconvex, constrained optimization problem that is well-known to be difficult. To solve this problem, the paper derives an important property for the dual decomposition of the original optimization problem, and then proposes a simple iterative bisection algorithm for the adaptive multi-user resource allocation for the data transmission in the Internet.
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Bai, Y. (2012). A Dual-Decomposition-Based Resource Allocation for the Data Transmission in the Internet. In: Tan, H. (eds) Knowledge Discovery and Data Mining. Advances in Intelligent and Soft Computing, vol 135. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27708-5_13
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DOI: https://doi.org/10.1007/978-3-642-27708-5_13
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-27707-8
Online ISBN: 978-3-642-27708-5
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