Demonstrates efficient scheduling in wireless networks, suggesting improved IoT connectivity.
The density of wireless networks has been consistently increasing. Dealing with an increasing number of devices per area unit is a pressing issue in the context of the Internet of Things (IoT), as well as in cellular networks (5G and B5G). The Signal-to-Interferenceplus-Noise Ratio (SINR) model is particularly relevant in this context, as it facilitates spatial reuse, which allows multiple devices to transmit simultaneously within the same coverage area. This model considers the cumulative interference from competing transmissions, enabling scheduling that maximizes simultaneous communications. Given that the scheduling problem in SINR networks is NP-hard, heuristics are necessary for practical solutions. This work introduces Sk-Iterative, a greedy scheduling algorithm with spatial reuse to solve the problem. The algorithm schedules links produced with the DTE (Down-To-Earth) heuristics. Sk-Iterative was implemented and evaluated via simulation. Results confirm the efficiency of the scheduling strategy, showing that it produces schedules that are close to the optimal.
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Bravos et al. (2026) studied this question.
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