Abstract— We investigate adaptive modulation using the network utility maximization framework. We derive new crosslayer optimal power and rate adaptation policies for several pra...
Daniel O'Neill, Andrea J. Goldsmith, Stephen P. Bo...
Abstract— Network utility maximization (NUM) problems provide an important approach to conduct network resource management such as end-to-end rate allocation. In the existing lit...
We present an algorithm for solving a broad class of online resource allocation . Our online algorithm can be applied in environments where abstract jobs arrive one at a time, and...
e for abstract modeling, algorithmic design and analysis to achieve provably efficient, scalable and fault-tolerant realizations of such huge, highly-dynamic, complex, non-conventi...
Abstract Surrogate maximization (or minimization) (SM) algorithms are a family of algorithms that can be regarded as a generalization of expectation-maximization (EM) algorithms. A...