  In contemporary wireless communication networks, base-stations are organized
into coordinated clusters (called cells) to jointly serve the users. However,
such fixed systems are plagued by the so-called cell-edge 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.
  An earlier version of this algorithm was reported in arXiv:2111.00885.
