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干扰门限与回程容量限制下UDN的能效与谱效联合优化算法

Translated title of the contribution: Joint energy efficiency and spectral efficiency optimization algorithm for UDN under the restriction of interference threshold and backhaul capacity
  • Harbin Institute of Technology

Research output: Contribution to journalArticlepeer-review

Abstract

Aiming at the scenarios which consider the constraint of backhaul capacity restriction and interference threshold in ultra-dense networks (UDN), an integer linear programming (ILP) and Lagrangian dual decomposition (LDD) based joint optimization algorithm of energy efficiency and spectrum efficiency was proposed. In the proposed algorithms, the user association problem with the constraint of limited backhaul capacity was modelled as an ILP problem and then finished the connection between the user and the base station of microcell by solving this problem with dynamic programming method. Therefor, Lagrangian dual decomposition (LDD) was applied in an iteration algorithm for spectrum resource allocation and power allocation. The simulation results show that compared with traditional schemes, the proposed algorithm can significantly improve the energy efficiency and spectrum efficiency of system and use the microcell's load capacity more efficiently.

Translated title of the contributionJoint energy efficiency and spectral efficiency optimization algorithm for UDN under the restriction of interference threshold and backhaul capacity
Original languageChinese (Traditional)
Pages (from-to)86-97
Number of pages12
JournalTongxin Xuebao/Journal on Communications
Volume40
Issue number12
DOIs
StatePublished - 25 Dec 2019

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

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