245 research outputs found
Algorithms for Stochastic Games on Interference Channels
We consider a wireless channel shared by multiple transmitter-receiver pairs.
Their transmissions interfere with each other. Each transmitter-receiver pair
aims to maximize its long-term average transmission rate subject to an average
power constraint. This scenario is modeled as a stochastic game. We provide
sufficient conditions for existence and uniqueness of a Nash equilibrium (NE).
We then formulate the problem of finding NE as a variational inequality (VI)
problem and present an algorithm to solve the VI using regularization. We also
provide distributed algorithms to compute Pareto optimal solutions for the
proposed game
The context-dependence of mutations: a linkage of formalisms
Defining the extent of epistasis - the non-independence of the effects of
mutations - is essential for understanding the relationship of genotype,
phenotype, and fitness in biological systems. The applications cover many areas
of biological research, including biochemistry, genomics, protein and systems
engineering, medicine, and evolutionary biology. However, the quantitative
definitions of epistasis vary among fields, and its analysis beyond just
pairwise effects remains obscure in general. Here, we show that different
definitions of epistasis are versions of a single mathematical formalism - the
weighted Walsh-Hadamard transform. We discuss that one of the definitions, the
backgound-averaged epistasis, is the most informative when the goal is to
uncover the general epistatic structure of a biological system, a description
that can be rather different from the local epistatic structure of specific
model systems. Key issues are the choice of effective ensembles for averaging
and to practically contend with the vast combinatorial complexity of mutations.
In this regard, we discuss possible approaches for optimally learning the
epistatic structure of biological systems.Comment: 6 pages, 3 figures, supplementary informatio
Power Allocation Games on Interference Channels with Complete and Partial Information
We consider a wireless channel shared by multiple transmitter-receiver pairs.
Their transmissions interfere with each other. Each transmitter-receiver pair
aims to maximize its long-term average transmission rate subject to an average
power constraint. This scenario is modeled as a stochastic game under different
assumptions. We first assume that each transmitter and receiver has knowledge
of all direct and cross link channel gains. We later relax the assumption to
the knowledge of incident channel gains and then further relax to the knowledge
of the direct link channel gains only. In all the cases, we formulate the
problem of finding the Nash equilibrium as a variational inequality (VI)
problem and present an algorithm to solve the VI.Comment: arXiv admin note: text overlap with arXiv:1409.755
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