协作NOMA系统的渐近紧逼近SER性能分析
首发时间:2020-01-02
摘要:功率域协作非正交多址接入(Non-Orthogonal Multiple Access,NOMA)系统的闭合公式推导对于进一步提高系统的性能具有重要意义,然而目前基于信道容量和成对误码率(Pairwise Error Probability,PEP)的系统性能公式过于复杂,大大增加了系统性能优化的难度。因此,基于上行单放大转发(Amplify Forward,AF)中继协作NOMA模型,分别构建出两通信用户的信干比(Signal Interference Noise Ratio,SINR),通过误码率(Symbol Error Rate,SER)公平性假设,使其满足调和均值的矩量母函数(Moment Generating Function,MGF)简化条件。结合矩量母函数的SER计算公式,在高信噪比的条件下,推导出了结构简单的系统SER渐近紧逼近公式。蒙特卡罗仿真结果证明了当信噪比较高时该公式能够很好地对非理想串行干扰消除(Successive Interference Cancellation,SIC)系统SER性能进行精确描述。在总功率一定的条件下,以最小化SER紧逼近公式为目标,求解了最佳功率分配因子。
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Analysis of Asymptotically Tight Approximation SER for Cooperative NOMA Systems
Abstract:The closed-form formula derivation of the Power Domain Cooperative Non-Orthogonal Multiple Access (NOMA) system is of great significance for further improving the performance of the system. However, based on the channel capacity and the paired bit error rate Pairwise Error Probability(PEP), The system performance formula of PEP is too complicated, which has increased difficulty in system performance optimization. Therefore, based on the Amplify Forward (AF) relay cooperative NOMA model, the Signal Interference Noise Ratio (SINR) of the two communication users is constructed, and assumes the symbol error rate (SER) is fair. The hypothesis is that it satisfies the Moment Generating Function (MGF) simplification condition of the harmonic mean. Combined with the SER calculation formula of the moment parent function, the system SER asymptotically close approximation formula with simple structure is derived under the condition of high SNR. The Monte Carlo simulation results show that the formula can accurately describe the SER performance of the non-ideal Serial Interference Cancellation (SIC) system when the signal-to-noise ratio is high. Under the condition of constant total power, the optimal power distribution factor is solved by minimizing the SER tight approach formula.
Keywords: non-orthogonal multiple access amplify and forward symbol error rate moment generating function
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协作NOMA系统的渐近紧逼近SER性能分析
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