Constrained Capacity Density Optimization in Mobile Cellular Networks (Paperback)


Downlink performance of cellular networks is mainly limited by Intercell Interference (ICI). A promising concept for ICI mitigation is Fractional Frequency Reuse (FFR), which effectively allows to trade off overall performance against enhanced cell-edge performance. In this work, a novel FFR scheme is proposed. It assigns a given user to a frequency sub band depending on the achievable capacity density (bit/s/m ). An optimization problem is formulated, which aims at maximizing average per-user throughput while maintaining a minimum performance at cell-edge. Simulations are carried out for omnidirectional and sectorized cellular scenarios, using both 2-dimensional and 3-dimensional antenna radiation patterns. The simulation results show that the proposed scheme outperforms conventional reuse-1- and reuse-3 schemes in terms of average- and cell-edge performance.

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Product Description

Downlink performance of cellular networks is mainly limited by Intercell Interference (ICI). A promising concept for ICI mitigation is Fractional Frequency Reuse (FFR), which effectively allows to trade off overall performance against enhanced cell-edge performance. In this work, a novel FFR scheme is proposed. It assigns a given user to a frequency sub band depending on the achievable capacity density (bit/s/m ). An optimization problem is formulated, which aims at maximizing average per-user throughput while maintaining a minimum performance at cell-edge. Simulations are carried out for omnidirectional and sectorized cellular scenarios, using both 2-dimensional and 3-dimensional antenna radiation patterns. The simulation results show that the proposed scheme outperforms conventional reuse-1- and reuse-3 schemes in terms of average- and cell-edge performance.

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Product Details

General

Imprint

VDM Verlag

Country of origin

Germany

Release date

July 2011

Availability

Expected to ship within 10 - 15 working days

First published

July 2011

Authors

Dimensions

229 x 152 x 5mm (L x W x T)

Format

Paperback - Trade

Pages

88

ISBN-13

978-3-639-37379-0

Barcode

9783639373790

Categories

LSN

3-639-37379-0



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