Random Subcarrier Allocation in OFDM-Based Cognitive Radio Networks
Sabit Ekin, Mohamed M. Abdallah, Khalid A. Qaraqe, Erchin Serpedin

TL;DR
This paper analyzes the performance of an OFDM-based cognitive radio system with random subcarrier allocation without spectrum sensing, focusing on capacity, interference control, and multiuser scheduling under various channel conditions.
Contribution
It introduces a novel analysis of SU capacity and interference in random subcarrier allocation without spectrum sensing, including bounds, scaling laws, and an efficient scheduling algorithm.
Findings
Derived bounds and scaling laws for average capacity.
Analyzed interference impact and capacity under Rayleigh fading.
Proposed a centralized scheduling algorithm for maximum sum rate.
Abstract
This paper investigates the performance of an orthogonal frequency-division multiplexing (OFDM)-based cognitive radio (CR) spectrum sharing communication system that assumes random allocation and absence of the primary user's (PU) channel occupation information, i.e., no spectrum sensing is employed to acquire information about the availability of unused subcarriers. In case of a single secondary user (SU) in the secondary network, due to the lack of information of PUs' activities, the SU randomly allocates the subcarriers of the primary network and collide with the PUs' subcarriers with a certain probability. To maintain the quality of service (QoS) requirement of PUs, the interference that SU causes onto PUs is controlled by adjusting SU's transmit power below a predefined threshold, referred to as interference temperature. In this work, the average capacity of SU with subcarrier…
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