Research on the Application of Beamforming in Non‑orthogonal Multiple Access Technology

LIU Yan-ping; HOU Rong-hui

doi:10.12263/DZXB.20200773

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Research on the Application of Beamforming in Non‑orthogonal Multiple Access Technology

PAPERS | 更新时间：2025-12-08

- Research on the Application of Beamforming in Non‑orthogonal Multiple Access Technology
- ACTA ELECTRONICA SINICA Vol. 49, Issue 11, Pages: 2138-2145(2021)
- 作者机构：
  
  西安电子科技大学网络与信息安全学院, 陕西西安710071
- 作者简介：
- 基金信息：
- DOI：10.12263/DZXB.20200773
  CLC： TN92;
- Received：24 July 2020，
  
  Revised：2021-01-18，
  
  Published：25 November 2021
- 稿件说明：
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刘彦平,侯蓉晖.多波束赋形在非正交多址接入技术中的应用研究[J].电子学报,2021,49(11):2138-2145.

LIU Yan-ping,HOU Rong-hui.Research on the Application of Beamforming in Non‑orthogonal Multiple Access Technology[J].ACTA ELECTRONICA SINICA,2021,49(11):2138-2145.
刘彦平,侯蓉晖.多波束赋形在非正交多址接入技术中的应用研究[J].电子学报,2021,49(11):2138-2145. DOI： 10.12263/DZXB.20200773.

LIU Yan-ping,HOU Rong-hui.Research on the Application of Beamforming in Non‑orthogonal Multiple Access Technology[J].ACTA ELECTRONICA SINICA,2021,49(11):2138-2145. DOI： 10.12263/DZXB.20200773.

摘要

为解决非正交多址接入（NOMA）技术在毫米波Massive MIMO系统中用户的分组受限于基站波束宽度的问题

提出了一种能够产生指向多个方向的波束的波束赋形方案.基于该多波束波束赋形方案

建立了多小区多用户场景下的用户资源分配的数学模型.为降低计算的复杂性

采用两阶段的资源分配算法.在第一阶段中

在给定的功率分配条件下将模型转化为联盟博弈中联盟的生成问题

并提出一种通过迭代确定用户分组和天线单元分配的算法;在第二阶段中

通过将非凸的数学优化问题转化为DC规划问题

提出用户功率分配的算法.仿真结果表明

本文所提多波束波束赋形方案能够有效产生指向多个方向的波束

且所提资源分配算法能够有效提高系统的性能.

Abstract

In order to solve the problem that the user grouping of non‑orthogonal multiple access (NOMA) in the mm‑wave massive MIMO system is limited by the beam width of the base station

a beamforming scheme which can generate beams pointing in multiple directions is proposed. Based on the multi‑beam beamforming scheme

a mathematical model of user resource allocation in multi‑cell and multi‑user scenario is established. In order to reduce the complexity of computation

a two‑stage resource allocation algorithm is adopted. In the first stage

under the given power allocation conditions

the model is transformed into the coalition generation in the coalition game theory

and an algorithm for iteratively determining user grouping and antenna unit allocation is proposed; in the second stage

an algorithm of user power allocation is proposed by transforming the non‑convex mathematical optimization problem into a DC programming problem. The simulation results show that the proposed multi‑beam beamforming scheme can effectively generate beams pointing to multiple directions

and the proposed resource allocation algorithm can effectively improve the performance of the system.

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Keywords

references

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