2005
DOI: 10.1007/s11276-005-5278-7
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An Efficient Adaptive Cell Sectoring Technique for Non-Uniform Traffic in DS-CDMA Systems

Abstract: Abstract.Cell sectorization has been shown as a promising technique to improve the overall capacity in direct sequence code division multiple access (DS-CDMA) systems. It has been further demonstrated that the use of adaptive antenna arrays with dynamic cell sectoring is particularly suitable for non-uniformly distributed users. In this paper, we first re-formulate cell sectoring into an optimization problem and solve it with dynamic programming algorithm. We next show that this has two major practical drawbac… Show more

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Cited by 4 publications
(1 citation statement)
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“…In the past decade, the adaptive antennas have been proposed to improve the spectrum efficiency and provide a new approach to the next-generation networks, which have been considered as one of most important technologies in the wireless communications [15][16][17][18]. By adopting the basestation adaptive antenna technology [19][20][21], intelligent cell with adaptive array antennas was proposed [22][23][24]. On the one hand, the beam can be split or the multibeam method can be adopted to reduce the influence caused by the radio propagation environment, which leads to the improved channel quality and the enhanced system capacity.…”
Section: Introductionmentioning
confidence: 99%
“…In the past decade, the adaptive antennas have been proposed to improve the spectrum efficiency and provide a new approach to the next-generation networks, which have been considered as one of most important technologies in the wireless communications [15][16][17][18]. By adopting the basestation adaptive antenna technology [19][20][21], intelligent cell with adaptive array antennas was proposed [22][23][24]. On the one hand, the beam can be split or the multibeam method can be adopted to reduce the influence caused by the radio propagation environment, which leads to the improved channel quality and the enhanced system capacity.…”
Section: Introductionmentioning
confidence: 99%