基于非正交多址接入的B5G双向全双工中继系统中功率控制的设计

DESIGN OF POWER CONTROL IN B5G TWO-WAY FULL-DUPLEX RELAY SYSTEMS BASED ON NON-ORTHOGONAL MULTIPLE ACCESS

  • 摘要: 在基于非正交多址接入的后五代(Beyond the Fifth Generation,B5G)双向全双工中继系统中,为协调同频干扰并提升频谱效率,首先提出一种基于连续凸逼近(Successive Convex Approximation,SCA)算法的功率控制机制,保证多项式时间内得到原非凸问题的高效次优解。为满足B5G移动网络的低时延需求,进一步提出一种基于深度神经网络(Deep Neural Network,DNN)的在线功率控制机制。仿真结果验证了所提机制的有效性,发现相比于基于SCA算法的机制,基于DNN的机制能获得相近性能且大幅度降低在线运算时间。

     

    Abstract: In two-way full-duplex relay systems based on non-orthogonal multiple access(NOMA)for Beyond the Fifth Generation(B5G)networks, we propose a power control mechanism using successive convex approximation(SCA)to coordinate co-channel interference and improve spectral efficiency, which efficiently obtains suboptimal solutions for the original non-convex problem within polynomial time. To satisfy the low-latency requirements of B5G mobile networks, we further design a deep neural network(DNN)-based online power control mechanism. Simulations verify the effectiveness of both mechanisms, showing that the DNN-based approach achieves comparable performance to the SCA-based method while significantly reducing online computational time.

     

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