With proliferation of fifth generation (5G) new radio (NR) technology, it is expected to meet the requirement of diverse traffic demands. We have designed a coordinated multi-point (CoMP) enhanced flexible multi-numerology (MN) for 5G-NR networks to improve the network performance in terms of throughput and latency. We have proposed a CoMP enhanced joint subcarrier and power allocation (CESP) scheme which aims at maximizing sum rate under the considerations of transmit power limitation and guaranteed quality-of-service (QoS) including throughput and latency restrictions. By employing difference of two concave functions (D.C.) approximation and abstract Lagrangian duality method, we theoretically transform the original non-convex nonlinear problem into a solvable maximization problem. Moreover, the convergence of our proposed CESP algorithm with D.C. approximation is analytically derived with proofs, and is further validated via numerical results. Simulation results demonstrated that our proposed CESP algorithm outperforms the conventional non-CoMP and single numerology mechanisms along with other existing benchmarks in terms of lower latency and higher throughput under the scenarios of uniform and edge users.
翻译:随着第五代(5G)新无线电(NR)技术的扩散,预计它将满足各种交通需求的要求,我们为5G-NR网络设计了一个协调的多点(COMP)增强的灵活多位数字(MN),以改善网络在吞吐量和延缓度方面的绩效;我们提议了一个COMP强化的联合子载荷和电力分配(CESP)计划,目的是在传输功率限制和保证服务质量(QOS)的考虑下,最大限度地提高总和率,包括吞吐量和延缓限制;我们采用两种对等功能(D.C.)近似和抽象的拉格朗格双轨法,从理论上将原有的非Convex非线性问题转化为一个可溶解的最大化问题;此外,我们提议的CESP算法与D.C.的趋同结合,通过数字结果得到进一步验证;模拟结果表明,我们提议的CESP算法超越常规的非COMP和单一数字学机制,同时根据较低的底线和高端用户的其他现有基准,在假设下,在较低层和较高平档下,通过其他现有基准。