Interference-aware multiple access is an enabler to cost-efficient and reliable high data-rate local area wireless access. In this paper,\r\nwe propose an interference-aware radio resource management scheme where receivers informabout their throughput, interference,\r\nand signal levels by means of broadcast messages tied to data reception. In the proposed scheme, the conventional scheduler is\r\nextended to interference-aware operation where individual scheduling decisions are based on estimated change in system-level\r\nperformance. The performance of the proposed scheme is evaluated in system simulations where it is compared to a conventional\r\nscheduler and a centralized scheduler (global optimum). The convergence of the proposed scheduler is analyzed and signaling\r\noverhead of an example implementation is characterized. The results demonstrate that the proposed scheme enables fair and\r\nefficient wireless access in challenging interference scenarios, for example, multiple networks deployed in the same geographical\r\narea and sharing a common band.
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