Research on Channel Power Allocation of Fog Wireless Access Network Based on NOMA

With the developing of the smart mobile terminal and wideband application in the mobile Internet, the requirement of large capacity, low latency, and high scalability in the future network is becoming more and more stringent. Edge computing is attracting great attention to decrease time delay and improve the quality of networks' service. By integrating fog computing with the radio access network (RAN) and taking full advantage of the edge computing, fog RAN (F-RAN) is expected as a promising example for 5G/6G systems. The idea of NOMA is to distinguish users whose information is multiplexed into the same orthogonal resource by different power factors, and successive interference cancellation (SIC) is used to detect information at the fog access nodes. In this paper, we focus on dynamic power allocation of wireless sub-channel in NOMA and extend it to F-RAN. A three-user multiplexing model of a NOMA multiuser system model is developed at the transmitting side and the corresponding SIC receiver is designed. Moreover, a group of dynamic power adjusting factors is defined according to users' channel conditions, and an improved fractional transmit power allocation (I-FTPA) algorithm is proposed for NOMA and applied to the three-user model. The experimental results demonstrate that the I-FTPA performs better than the previous FPA and FTPA, more meaningful is that more than one wireless channel power allocation schemes can be found performing better than OFDMA under the same conditions for F-RAN by using the I-FTPA, which provides some significance for deploying NOMA into F-RAN in the future application.