Abstract
In this paper, we develop a novel framework for optimizing data routes, subcarrier schedules and power allocations in generic half-duplex interference-limited multicarrier networks. In this framework each subcarrier can be both reused and time-shared by multiple nodes. Thus, this framework subsumes designs in which time-sharing and frequency-reuse are considered separately, and can therefore offer significant performance gains over them. Considering both time-sharing and frequency-reuse jointly gives rise to generally difficult to solve non-convex optimization problems. However, using approximation techniques based on geometric programming, we provide a computationally-efficient method for obtaining locally optimal solutions. Numerical examples confirm that the framework proposed herein yields achievable data rates that are superior to those yielded by currently available designs.
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