研究目的
To propose an adaptive medium access control (MAC) protocol for full-duplex (FD) cognitive radio networks that efficiently utilizes the spectrum and mitigates the self-interference in the FD transceiver, and to analyze its throughput performance and optimal configuration.
研究成果
The proposed FDC-MAC protocol achieves significantly higher throughput than existing HD MAC and single-stage FD MAC protocols by efficiently exploiting the FD communication capability and mitigating the negative self-interference effect through optimal configuration of sensing time and transmit power during the FD sensing stage.
研究不足
The study assumes a fixed frame length T smaller than the required evacuation time Teva for timely evacuation from a busy channel. The analysis may not account for all practical scenarios where multiple idle/active status changes of the PU occur within one channel evacuation interval.
1：Experimental Design and Method Selection:
The study involves the design of an FDC-MAC protocol for cognitive radio networks, incorporating both half-duplex (HD) and full-duplex (FD) transmission modes. Theoretical models and algorithms are employed to analyze the protocol's throughput performance.
2：Sample Selection and Data Sources:
The analysis is based on a cognitive radio network scenario with n0 pairs of SUs opportunistically exploiting white spaces on one channel for communications.
3：List of Experimental Equipment and Materials:
The study assumes each SU is equipped with a FD transceiver capable of simultaneous sensing and transmission, affected by self-interference.
4：Experimental Procedures and Operational Workflow:
The protocol integrates contention resolution, spectrum sensing, and access functions, with SUs employing the p-persistent CSMA principle for contention resolution. The data phase comprises two stages: concurrent sensing and transmission in the first stage and transmission only in the second stage.
5：Data Analysis Methods:
A mathematical model is developed to analyze the throughput performance, considering imperfect sensing, self-interference effects, and dynamic status changes of the primary user (PU).
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