The integration of network slicing into a Device-to-Device(D2D)network is a promising technological approach for efficiently accommodating Enhanced Mobile Broadband(eMBB)and Ultra Reliable Low Latency Communication(UR...The integration of network slicing into a Device-to-Device(D2D)network is a promising technological approach for efficiently accommodating Enhanced Mobile Broadband(eMBB)and Ultra Reliable Low Latency Communication(URLLC)services.In this work,we aim to optimize energy efficiency and resource allocation in a D2D underlay cellular network by jointly optimizing beamforming and Resource Sharing Unit(RSU)selection.The problem of our investigation involves a Mixed-Integer Nonlinear Program(MINLP).To solve the problem effectively,we utilize the concept of the Dinkelbach method,the iterative weightedℓ1-norm technique,and the principles of Difference of Convex(DC)programming.To simplify the solution,we merge these methods into a two-step process using Semi-Definite Relaxation(SDR)and Successive Convex Approximation(SCA).The integration of network slicing and the optimization of short packet transmission are the proposed strategies to enhance spectral efficiency and satisfy the demand for low-latency and high-data-rate requirement applications.The Simulation results validate that the proposed method outperforms the benchmark schemes,demonstrating higher throughput ranging from 11.79%to 28.67%for URLLC users,and 13.67%to 35.89%for eMBB users,respectively.展开更多
文摘The integration of network slicing into a Device-to-Device(D2D)network is a promising technological approach for efficiently accommodating Enhanced Mobile Broadband(eMBB)and Ultra Reliable Low Latency Communication(URLLC)services.In this work,we aim to optimize energy efficiency and resource allocation in a D2D underlay cellular network by jointly optimizing beamforming and Resource Sharing Unit(RSU)selection.The problem of our investigation involves a Mixed-Integer Nonlinear Program(MINLP).To solve the problem effectively,we utilize the concept of the Dinkelbach method,the iterative weightedℓ1-norm technique,and the principles of Difference of Convex(DC)programming.To simplify the solution,we merge these methods into a two-step process using Semi-Definite Relaxation(SDR)and Successive Convex Approximation(SCA).The integration of network slicing and the optimization of short packet transmission are the proposed strategies to enhance spectral efficiency and satisfy the demand for low-latency and high-data-rate requirement applications.The Simulation results validate that the proposed method outperforms the benchmark schemes,demonstrating higher throughput ranging from 11.79%to 28.67%for URLLC users,and 13.67%to 35.89%for eMBB users,respectively.
