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ENERGY EFFICIENT ADAPTIVE SECTOR-BASED USER CLUSTERING ALGORITHM FOR CELLULAR NETWORKKassa, Hailu Belay, Aredo, Shenko Chura, Menta, Estifanos Yohannes 11 1900 (has links)
In this paper, we propose an adaptive and multi-sector-based user clustering algorithm which
increases energy efficiency in a cellular network. Adaptive sectoring with dynamically changing
sector angles is illustrated with a number of randomly distributed mobile stations. Transmitted power
is equally shared by sectors before adaptive user clustering. The sector angles vary from 30 to 360
degrees by merging neighboring sectors and a sector is switched off till the user density exceeds a
threshold (Td). The Td value is computed from the total number of users that the cell can
accommodate over the area of the cell. The sectors with less than Td density exhibits transmit power
which approaches to zero or sleeping state and so that the cumulative power is saved. Simulation
results show that an average of 45% to 50% energy can be saved in 10 iterations.
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