Distributed Graph Coloring for Self-Organization in LTE Networks

الملخص EN

Primary Component Carrier Selection and Physical Cell ID Assignment are two important self-configuration problems pertinent to LTE-Advanced.

In this work, we investigate the possibility to solve these problems in a distributive manner using a graph coloring approach.

Algorithms based on real-valued interference pricing of conflicts converge rapidly to a local optimum, whereas algorithms with binary interference pricing have a chance to find a global optimum.

We apply both local search algorithms and complete algorithms such as Asynchronous Weak-Commitment Search.

For system level performance evaluation, a picocellular scenario is considered, with indoor base stations in office houses placed in a Manhattan grid.

We investigate a growing network, where neighbor cell lists are generated using practical measurement and reporting models.

Distributed selection of conflict-free primary component carriers is shown to converge with 5 or more component carriers, while distributed assignment of confusion-free physical cell IDs is shown to converge with less than 15 IDs.

The results reveal that the use of binary pricing of interference with an attempt to find a global optimum outperforms real-valued pricing.