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- W2012244249 abstract "To satisfy the growing demand for mobile communications micro-cellular systems are expected to be introduced in the near future. For these, effective procedures not only for channel allocation but also for load balancing and call admission control still have to be developed. Here, the knowledge of the actual interference relations between radio cells is a key issue for both the more traditional channelized systems and the recently proposed spread spectrum techniques. Realizing that the interference relations among the cells are only slowly varying, the authors generalize the existing local and short term approaches to interference detection by including a memory trace in the evaluation procedure. A compatibility matrix for the cells is learned by statistically correlating carrier and interference power levels with call activities. In this paper, the overall system design is presented along with the detailed description of the learning procedure which is thought of as both an integrated component of future radio network management systems as well as a possible enhancement of already existing radio network planning methods. Simulations show that the adaptive strategy offers a considerable capacity increase that results from an increased spectrum efficiency." @default.
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- W2012244249 date "1995-11-01" @default.
- W2012244249 modified "2023-09-26" @default.
- W2012244249 title "Learning the compatibility matrix for adaptive resource management in cellular radio networks" @default.
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- W2012244249 doi "https://doi.org/10.1002/ett.4460060608" @default.
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