Abstract
Energy-efficiency (EE) is critical for D2D enabled cellular networks due to limited battery capacity and severe co-channel interference. In this chapter, we address the EE optimization problem by adopting a stable matching approach. The NP-hard joint resource allocation problem is formulated as a one-to-one matching problem under two-sided preferences, which vary dynamically with channel states and interference levels. A game-theoretic approach is employed to analyze the interactions and correlations among user equipments (UEs), and an iterative power allocation algorithm is developed to establish mutual preferences based on nonlinear fractional programming. We then employ the Gale–Shapley (GS) algorithm to match D2D pairs with cellular UEs (CUs), which is proved to be stable and weak Pareto optimal. We extend the algorithm to address scalability issues in large-scale networks by developing tie-breaking and preference deletion based matching rules.
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Zhou, Z., Chang, Z., Liao, H. (2021). Energy-Efficient Resource Allocationin for D2D Enabled Cellular Networks. In: Green Internet of Things (IoT): Energy Efficiency Perspective. Wireless Networks. Springer, Cham. https://doi.org/10.1007/978-3-030-64054-5_2
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DOI: https://doi.org/10.1007/978-3-030-64054-5_2
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