[HTML][HTML] Wireless capacity with arbitrary gain matrix
MM Halldórsson, P Mitra - Theoretical Computer Science, 2014 - Elsevier
Theoretical Computer Science, 2014•Elsevier
Given a set of wireless links, a fundamental problem is to find the largest subset that can
transmit simultaneously, within the SINR model of interference. Significant progress on this
problem has been made in recent years. In this note, we study the problem in the setting
where we are given a fixed set of arbitrary powers each sender must use, and an arbitrary
gain matrix defining how signals fade. This variation of the problem appears immune to most
algorithmic approaches studied in the literature. Indeed it is very hard to approximate since it …
transmit simultaneously, within the SINR model of interference. Significant progress on this
problem has been made in recent years. In this note, we study the problem in the setting
where we are given a fixed set of arbitrary powers each sender must use, and an arbitrary
gain matrix defining how signals fade. This variation of the problem appears immune to most
algorithmic approaches studied in the literature. Indeed it is very hard to approximate since it …
Abstract
Given a set of wireless links, a fundamental problem is to find the largest subset that can transmit simultaneously, within the SINR model of interference. Significant progress on this problem has been made in recent years. In this note, we study the problem in the setting where we are given a fixed set of arbitrary powers each sender must use, and an arbitrary gain matrix defining how signals fade. This variation of the problem appears immune to most algorithmic approaches studied in the literature. Indeed it is very hard to approximate since it generalizes the max independent set problem. Here, we propose a simple semi-definite programming approach to the problem that yields constant factor approximation, if the optimal solution is strictly larger than half of the input size.
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