Research On Uplink Radio Resource Management Based On Non-orthogonal Multiple Access

The rapid development of mobile Internet technology and the continuous iterative update of smart terminals have caused explosive growth of data traffic on the network.How to effectively deal with such huge data traffic is a challenging problem for all network operators.Non-orthogonal multiple access(NOMA)technology is considered to be one of the emerging key technologies that can effectively address this challenge.It allows a group of smart terminals to share a same spectrum channel for simultaneous transmissions and exploits the successive interference cancellation technology to migitate co-channel interference,which significantly improves the network's spectral efficiency.This thesis designs radio resource management strategies based on non-orthogonal multiple access for uplink radio network.The main contributions of the thesis are as follows:1.This thesis proposes uplink decoding-order,delay and power allocation methods based on non-orthogonal multiple access to minimize the total radio resource consumption cost(including delay and energy consumption)during data transmission and satify the data delivery requirements of all smart terminals.In this thesis,a complex and difficult non-convex optimization problem is transformed into an easy-to-solve convex optimization problem,and a corresponding optimization algorithm is designed.Numerical simulation results verify that the correctness of the designed algorithm,which can effectively save the running time of the algorithm compared with the enumeration method.Compared with time division multiple access(TDMA)and frequency division multiple access(FDMA)transmission schemes,this thesis proposed transmission scheme based on non-orthogonal multiple access can effectively reduce radio resource consumption.2.This thesis proposes an uplink edge computing offloading decoding-order,computation volume and delay optimization method based on non-orthogonal multiple access.By offloading some computation tasks to the access point's edge server for computing processing to minimize radio resource consumption(e.g.,uplink total delay)and satify the computation requirements of all smart terminals.By exploiting the layer structure of the proposed joint optimization problem,the corresponding optimization algorithm is designed.Numerical simulation results verify that the results obtained by the designed algorithm are less than 0.01% on average relative error to the results obtained by the LINGO or enumeration method.Compared with fixed offloading ratio scheme and traditional time division multiple access scheme,this thesis proposed offloading scheme based on non-orthogonal multiple access can effectively reduce radio resource consumption.