Research On Time-Frequency Domain Resource Allocation Strategies For Cellular Networks

In the cellular mobile communication network,how to efficiently and flexibly allocating limited spectrum resources to users is still an urgent problem to be solved.However,the typical resource allocation methods are mainly based on a singledimensional domain,such as in the time or frequency domain,and allocates these resources to different users.Such a resource allocation method reduces resource utilization efficiency due to excessive resource granularity,and the time domain resource allocation method cannot consider frequency selective fading.However,the existing two-dimensional resource allocation literatures that joint frequency domain and time domain mainly focus on the downlink communication system,whose mathematical modeling and solving process of the optimization problem is significantly different from the uplink communication scenario.In addition,considering that main energy consumption in the downlink communication scenario lies in the base station,the practical significance of studying the energy consumption optimization problem in the downlink communication scenario is lower than that in the uplink communication scenario.This paper focuses on the optimization of the energy consumption of a cellular network's uplink communication system based on two-dimensional resource allocation in the time-frequency domain.On the basis of meeting the user's communication service quality requirements,the total energy consumption of mobile devices on the cellular network is minimized.First of all,we consider cellular user scenario.Since any unit of time-frequency domain resources can only be occupied by one user,there is no interference between users.To solve this problem,we propose the resource allocation strategy based on Lagrangian dual method and cooperative games,and then verify the optimality of our two-dimensional resource allocation algorithm.Compared with onedimensional resource allocation algorithms,our proposed algorithm can reduce 7%-44%of the energy consumption of the system.Secondly,we extend our research to device-to-device users scenario.Consider a device-to-device users reuses a cellular user's time-frequency domain resources,there is uncertain communication interference between the cellular users and the device-todevice users.The interference will change due to the change in the user's transmit power and distance between cellular user and device-to-device users.Cellular users and device-to-device users who reuse time-frequency domain resources will be affected by interference from each other when power optimization is performed,and sometimes they may not even meet the rate requirements,which complicates the solution of energy optimization.To solve this problem,we coordinate and balance between the user's own transmit power and the interference from the other user.After that,we utilize joint power optimization and resource adjustment to enable cellular users and device-todevice users that reuse time-frequency domain resources meet their respective quality of service requirements under the interference of each other.Compared with onedimensional resource allocation algorithms,our proposed algorithm can save 10%-64%of the energy consumption of the system.Results show that compared with the single-dimensional resource allocation,our proposed joint time-frequency resource allocation can further reduce the energy consumption of the uplink communication system and achieve green communication in different scenarios.