Minimizing interference-to-signal ratios in multi-cell telecommunication networks

Erdős, Péter and Mezei, Tamás Róbert (2022) Minimizing interference-to-signal ratios in multi-cell telecommunication networks. ALGORITHMS, 16 (7). ISSN 1999-4893

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Abstract

In contemporary wireless communication networks, base-stations are organized into coordinated clusters (called cell s) to jointly serve the users. However, such fixed systems are plagued by the so-called celledge problem: near the boundaries, the interference between neighboring clusters can result in very poor interference-to-signal-power ratios. To achieve a high quality service, it is an important objective to minimize the sum of these ratios over the cells. The most common approach to solve this minimization problem is arguably the spectral clustering method. In this paper, we propose a new clustering approach, which is deterministic and computationally much less demanding than current methods. Simulating on synthetic instances indicates that our methods typically provide higher quality solutions than earlier methods.

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