BS-3-29 Fast Self-Organization Techniques for Assuring Quality of Service in Wireless Networks
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概要
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The ability to self-organize in a changing environment under the constraint of predetermined quality of service is a key feature of modern wireless networks with distributed control. In this context, our research addresses the general problem of joint energy allocation and access to shared medium by links (transmitter-receiver pairs) which require a minimum signal-to-interference and noise ratio (SINR) at the receiver for a reliable data transfer. The aim is to develop distributed learning algorithms that allow every network link to determine by using solely simple measurements of local co-channel interference whether a freely chosen SINR target can be achieved through adaptive power control in a communication channel of interest. The design constraints for derived solutions consist of (i) a theoretically optimum allocation performance, (ii) minimum complexity in implementation, and (iii) reliable feedback on target SINR achievability to both active and inactive links. Our main contribution consists of proposing distributed adaptive algorithms, which in contrast to the related works, solve the optimality/complexity/reliability trade-off without sacrificing one or more of its aspects. The algorithms are based on novel and accurate real-time tracking of the spectral radius of the network matrix by means of distributed interference measurements. Typically, only four to ten measurements are required for consistently making correct decisions. This fact stems from the exponential convergence rate of the proposed algorithms, which we prove analytically. The algorithm design is inherently resistant to the effects of stochastic radio propagation phenomena and imperfect power control. Numerical simulations confirm that our approach reaches the performance upper bounds of comparison algorithms that are based on random access, carrier-sensing, fixed channel probing, slow power-up, or channel measurements.
- 2010-03-02
著者
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Bing Zhang
National Institute of Information and Communications Technology
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Bing Zhang
National Institute Of Information And Communications Technologies Keihanna Research Laboratories
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Kucera Stepan
National Institute Of Information And Communications Technologies Keihanna Research Laboratories
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Kucera Stepan
National Inst. Information And Communications Technol.
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Bing Zhang
National Inst. Information And Communications Technol.
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