CoMP Enhanced Subcarrier and Power Allocation for Multi-Numerology based 5G-NR Networks

TL;DR

This paper introduces a CoMP-enhanced joint subcarrier and power allocation scheme for 5G-NR networks with multi-numerology, significantly improving throughput and latency by optimizing resource allocation.

Contribution

It proposes a novel CoMP-enhanced joint subcarrier and power allocation method using D.C. approximation and Lagrangian duality, transforming a complex problem into a solvable maximization task.

Findings

Outperforms non-CoMP and single numerology methods in simulations.

Achieves lower latency and higher throughput for diverse user scenarios.

Provides theoretical proof of convergence for the proposed algorithm.

Abstract

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.