Research On Energy Efficiency Optimization Method In MIMO Radar/communication Spectrum Sharing Scenari

With the rapid development of mobile internet,the amount of wireless data is exploding,and the demand for spectrum resources in the field of communication is rapidly increasing.The radar occupies a large number of frequency bands,and the radar S band is close to the communication frequency band.The spectrum sharing technology can significantly improve the spectrum utilization through the use of spectrum management mechanism,which is one of the key technologies to solve the bottleneck problem of radio spectrum resources.The high energy consumption and exponential growth in communication demand of wireless communication networks pose serious challenges to more energy-efficient energy-saving communication systems.Therefore,under the condition of radar communication spectrum sharing,optimizing communication resource allocation and improving communication energy efficiency has become one of the research hotspots.Based on the radar/communication spectrum sharing scenario,this article conducts research on energy efficiency optimization problems of Three Dimensional Multiple-Input Multiple-Output(3D MIMO)communication systems and wide bandwidth Multiple-Input Multiple-Output(MIMO)communication systems.The main content is as follows:(1)The radar transmitter uses a null space projection algorithm to reduce communication interference,and considers optimizing communication energy efficiency from the perspective of gallium nitride power devices.A 3D beamforming based iterative optimization algorithm for 3DMIMO system energy efficiency is proposed.The proposed algorithm aims to maximize energy efficiency,introduces Lagrange multiplier to represent Lagrange function,and obtains the values of transmission power,beam vertical angle and horizontal angle according to KKT(Karush-Kuhn-Tucker)condition.Use Dinkelbach iterative optimization algorithm to iterate until the algorithm converges,and ultimately obtain the maximum energy efficiency value.The simulation results show that compared to the traditional binary method,the algorithm proposed in this paper can effectively improve the energy efficiency value of the system.(2)Based on 3DMIMO optimal beamforming and OFDM(Orthogonal Frequency)Division Multiplexing(OFDM)technology can flexibly allocate subcarriers based on its characteristics and fractional programming theory,proposing an energy efficiency optimization resource allocation algorithm for broadband MIMO systems.The proposed algorithm transforms the non-convex problem into a convex problem under the constraints of the total system power and the optimal set of subcarriers,and jointly optimizes the subcarriers and transmission power allocated by the user to obtain the maximum energy efficiency value.The simulation results show that the energy efficiency optimization of our algorithm is significantly improved compared to traditional algorithms.(3)Build 3DMIMO and broadband MIMO communication system models based on the software radio platform,simulate base station field experiments and indoor experiments.Based on experimental measured data,the Dinkelbach iterative optimization algorithm is used for energy efficiency optimization.The results of field experiments show that the higher the elevation angle of the base station,the lower the communication error rate of the receiving end,the higher the power transmitted by the base station to the user,and the faster the overall transmission rate of the system.Under the optimization of the proposed algorithm,the energy efficiency of the entire system is significantly improved.The indoor experimental results indicate that the wider the signal bandwidth for transmitting signals,the higher the energy efficiency.