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An intelligent uplink Power Control based on BBO algorithm

Authors: Xiaoyong Tian; Shi Yan; Rui Wang; Chao Lv; Shangli Liu;

An intelligent uplink Power Control based on BBO algorithm

Abstract

Uplink power control (ULPC) plays an important role in LTE system. In this paper, a new ULPC approach based on Biogeography-based Optimization (BBO) is proposed. Only with broadcast parameters such as a and P 0 , through the BBO Optimization, the cells will be divided into many layers automatically, different compensation offset values allocated at the same time. With the constraint operator of BBO, the throughput of cell-edge UEs can be controlled. The simulation results show that the proposed algorithm can improve the average throughput and keep a reasonable throughput of UEs at the cell-edge. Besides, this algorithm is efficient without producing additional processing load at eNodeBs, which is practical in real network deployment.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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