基于非正交多址的认知协同无线网络符号错误率和可实现率

Thi My Chinh Chu, H. Zepernick
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引用次数: 0

摘要

在本文中,我们研究了功率域非正交多址(NOMA)概念在协同认知中继网络(CCRN)下行系统中的应用,以允许基站(BS)同时向主用户(PU)和副用户(SU)发送信号。因此,所考虑的系统属于认知无线电启发的功率域NOMA领域。在该方案中,通过控制BS和继电器的功率分配系数来取代传统底层ccrn中PU对su的干扰功率约束。具体地说,推导了不同调制方案下在PU和SU处的符号误码率表达式以及可实现的误码率表达式。在此基础上,数值研究了总发射功率和功率分配系数等系统参数对功率域NOMA CCRN性能的影响。这些数值结果为采用功率域NOMA选择合适的CCRN工作模式提供了参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Symbol Error Rate and Achievable Rate of Cognitive Cooperative Radio Networks Utilizing Non-Orthogonal Multiple Access
In this paper, we study the employment of power-domain non-orthogonal multiple access (NOMA) concepts for a cooperative cognitive relay network (CCRN) downlink system in order to allow a base station (BS) to simultaneously transmit signals to a primary user (PU) and a secondary user (SU). As such, the considered system falls into the field of cognitive radio inspired power-domain NOMA. In this scheme, the interference power constraint of the PU imposed to SUs in conventional underlay CCRNs is replaced by controlling the power allocation coefficients at the BS and relay. Specifically, expressions for the symbol error rates at the PU and SU for different modulation schemes as well as expressions for the achievable rates are derived. On this basis, the effect of system parameters such as total transmit power and power allocation coefficients on the performance of the CCRN with power-domain NOMA is numerically studied. These numerical results provide insights into selecting favorable operation modes of the CCRN employing power-domain NOMA.
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