Radio Resource Utilization Efficiency

• Radio Resource Utilization Efficiency is defined as the effective conversion of scarce radio resources, such as spectrum, power, and antennas, into useful network service outcomes.
• It is assessed through metrics like spectral efficiency, throughput, PRB usage, and fairness, capturing performance under interference, latency, and QoS constraints.
• Applications in cognitive-radio, LTE/5G scheduling, and O-RAN architectures demonstrate its critical role in optimizing resource allocation and enhancing network performance.

Radio Resource Utilization Efficiency (RUE) is best understood, in the contemporary wireless-systems literature, as the effectiveness with which a network converts scarce radio resources into useful service outcomes. Those resources include spectrum, resource blocks, OFDM subcarriers, transmit power, antennas, serving associations, edge caches, and even control-plane adaptation opportunities. The cited works rarely define a single standardized KPI called “RUE”; instead, they operationalize the concept through proximate measures such as “spectrum utilization efficiency,” spectral efficiency, throughput, PRB usage, fairness, delay, energy efficiency, outage probability, and channel uses. A consistent theme is that radio resources are not judged only by occupancy, but by whether they are occupied usefully under interference, QoS, latency, fairness, and implementation constraints (Kaniezhil et al., 2012, Parzy et al., 2021, Alsenwi et al., 2019, Sirhan et al., 2022, Mahmood et al., 2019, Qazzaz et al., 11 Sep 2025).

1. Conceptual scope and terminological variants

The literature treats RUE as a family of related notions rather than a single invariant definition. In cognitive-radio work, the closest explicit term is “Spectrum Utilization Efficiency (SUE),” used as a fuzzy antecedent for selecting the “best suitable secondary users to access the available spectrum without any interference with the primary users” (Kaniezhil et al., 2012). In OFDMA cognitive-radio resource sharing, the dominant language shifts to spectral efficiency, fairness, and efficient resource utilization, with emphasis on how well available subcarriers and transmit power are assigned among competing users (Parzy et al., 2021). In LTE and 5G NR scheduling, the same underlying idea appears through total data rate, fairness, and RB assignment under exclusive resource constraints (Alsenwi et al., 2019, Ghorbanzadeh et al., 2014). In O-RAN and cloudified architectures, RUE is often implicit in PRB utilization, load balance, QoS preservation, and