Research On Resource Allocation Algorithm In SCMA MMTC System During Uplink Communication

5G,as the main research direction of current information technology,provides an important technical basis for building digital transformation.5G extends the mobile Internet to the field of mobile Internet of Things,from human-to-human(H2H)communication to human-to-machine,machine-to-machine(M2M)communication,and will be deeply integrated with all areas of society.Have a profound impact on production and lifestyle.In the context of Massive Machine Type of Communication(m MTC),where study the communication between machine terminals from the perspective of service types,system throughput,and fairness of resource allocation among terminals.Firstly,introducing the relevant principles of Sparse Code Multiple Access(SCMA),including: SCMA modulation spread spectrum,SCMA coding,SCMA codebook design and SCMA decoding model,and introduces the principle of SCMA technology to achieve overload.In addition,the hierarchical communication model of the uplink in SCMA m MTC system is introduced.Secondly,a fair scheme to allocate codebook,rate,and power for multiuser sparse code multiple access systems is proposed.The goal of the algorithm is to maximize the overall system rate as well as considering the user's fairness.The approach considers a new fairness criterion based on cooperative game and coalitions.First,a cooperative coalition algorithm is developed to negotiate codebook usage between two users.Then a multiusercodebook assignment algorithm is proposed based on optimal coalition pairs among users.The simulation results show that the proposed algorithms not only provide fair codebook assignment among users,but also have a comparable overall system rate with the scheme maximizing the total rate without considering fairness.Finally,in an SCMA system with multiple service types,the relationship between the SCMA codebook and time-frequency resources is considered in optimization of radio resource allocation,when consider the Qo S requirements of each service type.The system interference model is established on the basis of considering the interference among users,and the established non-convex optimization problem is converted into two sub-problems to solve.First,the code rate allocation problem is pulled through with the known codebook allocation Lagrange's method sets a step size solution to obtain a power allocation scheme,and then performs codebook allocation based on the required power allocation scheme in conjunction with cooperative game theory,where each user cooperates with each other to maximize the system and rate.Simulation results show that this algorithm guarantees fairness among users and maximizes the system and rate,that is,a trade off between user fairness and system rate.