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Additionally, the proposed framework is valuable since it provides a universal way of posing different estimation-related problems in communication systems.
Furthermore, it provides a different way of looking at the aforementioned problem that could be adjusted to a wide variety of estimation-related problems in communication systems.
Due to the spatial and temporal focusing properties of the TR, some problems in communication systems such as intersymbol interference (ISI) and multi-user interference can be alleviated.
Also by utilizing from advantages of the heuristic optimization techniques, the particle swarm optimization (PSO) that is a kind of heuristic optimization technique has been used to solve some problems in communication systems.
Game Theory provides a mathematical tool for the analysis of interactions between the agents with conflicting interests, hence it is well suitable tool to model some problems in communication systems, especially, to wireless sensor networks (WSNs) where the prime goal is to minimize energy consumption than high throughput and low delay.
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The proposed fully CVRBF network is also applied to four-class classification problems that are typically encountered in communication systems.
The next article, entitled "DC Programming in Communication Systems: Challenging Problems and Methods", by Le Thi Hoai An and Tao Pham Dinh, deals with a novel technique for optimization, named "Difference of Convex Programming".
A few of the works that have addressed RA problems in OFDMA communication systems are found in references [19 25].
The ISI limits channel capacity and is one of the main problems in wireless communication systems [1, 2].
Who would believe that I would become a full professor of mathematics at a research university and work at national laboratories, applying my mathematical knowledge to address problems in military communication systems?
Thus, we believe that our work will open new research directions to solve various challenging problems in MIMO communication systems. 1 Note that (sigma _{U_{n}}^{2}) is just an intermediate variable and it does not represent the true variance of the random variable ({U_{n}^{l}}).
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