Network slicing based joint optimization of beamforming and resource selection scheme for energy efficient D2D networks  

作　　者：Biroju Papachary Rajeev Arya Bhasker Dappuri 

机构地区：[1]Wireless Sensor Networks Lab,Department of Electronics&Communication Engineering,National Institute of Technology Patna,Patna 800005,India [2]Department of Electronics and Communication Engineering,CMR Engineering College,Hyderabad 501401,India

出　　处：《Intelligent and Converged Networks》2024年第3期248-264,共17页智能与融合网络（英文）

摘　　要：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.

关 键 词：Ultra Reliable Low Latency Communication(URLLC) Enhanced Mobile Broadband(eMBB) heterogeneous cellular network device-to-device communication network slicing 

分 类 号：TP31[自动化与计算机技术—计算机软件与理论]