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

Li Hsiang Shen, Chia Yu Su, Kai Ten Feng

Research output: Contribution to journalArticlepeer-review

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 multipoint (CoMP) enhanced flexible multi-numerology (MN) for 5GNR 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 have 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.

Original languageEnglish
JournalIEEE Transactions on Vehicular Technology
DOIs
StateAccepted/In press - 2022

Keywords

  • 5G new radio (5G-NR)
  • Coordinated multipoint (CoMP)
  • enhanced mobile broadband (eMBB)
  • Interference
  • Manganese
  • Multi-layer neural network
  • multi-numerology
  • Quality of service
  • resource allocation
  • Resource management
  • Throughput
  • Ultra reliable low latency communication
  • ultra-reliable and low-latency communications (URLLC)

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