An algorithm for combined cell-site selection and power control tomaximize cellular spread spectrum capacity

There is much current interest in spread spectrum wireless mobile communications and in particular the issue of spread spectrum wireless capacity. We characterize spread spectrum cellular capacity and provide a combined power control, cell-site selection algorithm that enables this capacity to be achieved. The algorithm adapts users' transmitter power levels and switches them between cell-sites, and it is shown that the algorithm converges to an allocation of users to cells that is optimal in the sense that interference is minimized. The algorithm is decentralized, and can be considered as a mechanism for cell-site diversity and handover. We provide numerical examples to show how effectively the algorithm relieves local network congestion, by switching users in a heavily congested cell to adjacent, less congested cells     

Explosion-resistance of the cylindrical part of a fast-reactor vessel

All-Russia Scientific-Research Institute of Electrophysical Apparatus. Special Office of Machine Design. Institute of High Temperatures, Russian Academy of Sciences. Translated from Atomnaya énergiya, Vol. 79, No. 3, pp. 178–188, September, 1995.     

Comparison of computational results obtained with different programs for radiation transfer

Main Science Center of the Russian Federation — Institute of High-Energy Physics. Translated from Atomnaya énergiya, Vol. 79, No. 4, pp. 269–279, October, 1995.     

Multiagent reasoning with probability,time, and beliefs

Any agent interacting with the real world must be able to reason about uncertainty in the world, about the actions that may occur in the world (either due to the agent or those initiated by other agents), about the (probabilistic) beliefs of other agents, and how these (probabilistic) beliefs are changing over time. In this article, we develop a family of logics that a reasoning agent may use to perform successively more sophisticated types of reasoning in such environments. We also characterize different types of agents. Furthermore, we provide a logic that enables a systems designer (who may have populated an environment with a collection of such autonomous agents) to reason about the system of agents as a whole. © 1995 John Wiley & Sons, Inc.     

Guaranteeing the skill level of specialists in the nuclear industry under conditions of the restructuring and dissolution of the USSR

Abstracts of report.     

Construction of calibration curves for methods of analyzing environmental samples

A formalized procedure is proposed for constructing calibration curves and evaluating their error in methods developed for the quantitative chemical analysis of environmental samples. The procedure satisfies the requirements of government metrological standards. Examples from practice are given to illustrate the construction of linear and nonlinear calibration curves and the corresponding confidence intervals. Translated from Izmeritel'naya Tekhnika, No. 3, pp. 64–68, March, 1998.