Method for Cognitive 4G Neighborhood Selection
First Claim
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1. A method for cognitive neighbor selection in 4g networks comprising the following steps:
- a) obtaining, by a SON server, information about RSSI distributions, CINR distributions and serving areas of all base stations;
b) calculating the first metric and the second metric for each base station (403) with serving area overlapping the BSnew base station (404) serving area (406);
c) adding said metrics together, and selecting neighboring base station with the highest Sumi and adding said base station to the neighbor list;
d) after updating the neighbor list with a new neighboring base station, recalculating the vicinity area (502) and the new border curve (505) by removing the contributions of all neighboring base stations within the vicinity area while disregarding all areas of overlap (408) with the BSnew;
e) repeating said process until Sum, drops below a preconfigured threshold Summax.
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Abstract
A method for cognitive neighbor selection in 4G networks describes a mechanism for automatic self-learning selection of neighboring base stations for the purpose of providing seamless handoffs in a dense deployment of pico and macro base stations. When a 4G network is modified by adding new base stations, the optimum handoff thresholds and advertised base station neighbors are automatically recalculated in a manner that reduces the number of unnecessary handoffs in a dense network with large number of pico and macro base stations.
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Citations
3 Claims
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1. A method for cognitive neighbor selection in 4g networks comprising the following steps:
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a) obtaining, by a SON server, information about RSSI distributions, CINR distributions and serving areas of all base stations; b) calculating the first metric and the second metric for each base station (403) with serving area overlapping the BSnew base station (404) serving area (406); c) adding said metrics together, and selecting neighboring base station with the highest Sumi and adding said base station to the neighbor list; d) after updating the neighbor list with a new neighboring base station, recalculating the vicinity area (502) and the new border curve (505) by removing the contributions of all neighboring base stations within the vicinity area while disregarding all areas of overlap (408) with the BSnew; e) repeating said process until Sum, drops below a preconfigured threshold Summax. - View Dependent Claims (2, 3)
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Specification