多载波多用户下行NOMA系统的资源分配算法

doi:10.11959/j.issn.1000-0801.2019230

电信科学 ›› 2019, Vol. 35 ›› Issue (11): 1-8.doi: 10.11959/j.issn.1000-0801.2019230

• 研究与开发 • 下一篇

多载波多用户下行NOMA系统的资源分配算法

严杰,宋荣方

南京邮电大学，江苏南京 210003

修回日期:2019-09-12 出版日期:2019-11-01 发布日期:2019-12-23
作者简介:严杰（1995- ），男，南京邮电大学通信与信息工程学院硕士生，主要研究方向为移动通信与无线技术|宋荣方（1964- ），男，南京邮电大学江苏省通信与网络技术工程研究中心教授、博士生导师，主要研究方向为宽带无线通信
基金资助:
江苏省科技项目“MIMO-NOMA巨连接系统功率最小化预编码新方法”(BK20181392)

Resource allocation algorithm for the downlink of multi-carrier and multi-user NOMA systems

Jie YAN,Rongfang SONG

Nanjing University of Posts and Telecommunications,Nanjing 210003,China

Revised:2019-09-12 Online:2019-11-01 Published:2019-12-23
Supported by:
Science and Technology Project of Jiangsu Province “A New Precoding Method for Power Minimization of MimoNoma Giant Connection System”(BK20181392)

摘要/Abstract

摘要：

非正交多址接入技术作为5G的候选技术之一受到了广泛关注。研究了以系统吞吐量优化为目标的多载波多用户NOMA系统下行链路的资源分配问题。在该问题的求解中，为了提高系统的吞吐量，子载波间采用线性注水算法，叠加用户间采用分数阶功率分配算法。同时，考虑了远近用户数目不等场景下能够调度更多的用户，在NOMA传输方案设计中引入时分的概念，将整个时间段t分为两个时隙，在不同时隙内实现不同远近用户分组的动态配对方案，从而在保证用户公平性的基础上，充分利用子信道资源，实现系统吞吐量的优化。仿真结果表明，对比于传统NOMA和OFDMA，提出的方法可以在相同的发射功率情况下传输更多的比特数。

关键词: 非正交多址接入, 时分NOMA, 吞吐量, 功率分配

Abstract:

Non-orthogonal multiple access (NOMA) technology had received considerable attention as a candidate technology for 5G cellular systems.The resource allocation problem in multi-carrier and multi-user downlink NOMA systems were studied with the goal of optimizing system throughput.In the solution of the problem,the linear water-filling power allocation was used between subcarriers as the fractional transmit power allocation algorithm was used between the superposed users,so that system throughput could be improved.Meanwhile,the concept of time slot was adopted in the design of NOMA transmission scheme,in order to be able to schedule more users in the scenario where the number of cellcenter users and celledge users were not equal.The whole time period was divided into two time slots.On the basis of ensuring the fairness of users,different user pairing groups were implemented in different time slots so as to fully utilizing the entire resource to improve system throughput.The simulation results show that this method can transmit more bits under the same transmit power comparing with traditional non-orthogonal multiple access(NOMA) and OFDMA.

Key words: NOMA, TS-NOMA, throughput, power allocation

中图分类号:

TN929.5

严杰,宋荣方. 多载波多用户下行NOMA系统的资源分配算法[J]. 电信科学, 2019, 35(11): 1-8.

Jie YAN,Rongfang SONG. Resource allocation algorithm for the downlink of multi-carrier and multi-user NOMA systems[J]. Telecommunications Science, 2019, 35(11): 1-8.

图/表 5

图1

表1

图2

图3

图4

参考文献 15

[1]	MODI H , GOHIL A , PATEL S K . 5G technology of mobile communication:a survey[C]// 2013 International Conference on Intelligent Systems and Signal Processing (ISSP)，March 1-2,2013,Gujarat,India. Piscataway:IEEE Press, 2013.
[2]	CHIH-LIN I , ROWELL C , HAN S ,et al. Toward green and soft:a 5G perspective[J]. IEEE Communications Magazine, 2014,52(2): 66-73.
[3]	YUAN Y , ZHAO X . 5G:vision,scenarios and enabling technologies[J]. ZTE Communications, 2015(1): 3-10.
[4]	DAI X , ZHANG Z , BAI B ,et al. Pattern division multiple access:anew multiple access technology for 5G[J]. IEEE Wireless Communications, 2018,25(2): 54-60. doi: 10.1109/MWC.2018.1700084
[5]	WANG Q Y , XIE P R , XIONG S K ,et al. Key technology and standardization progress for 5G[J]. Telecommunications Science, 2017,33(11):112.
[6]	QI B , LIN L , SHAN Y ,et al. Non-orthogonal multiple access technology for 5G systems[J]. Telecommunications Science, 2015. doi: 10.1126/science.aaz9326 pmid: 31831654
[7]	LI M L . Performance analysis and optimization of cooperative spectrum sensing with relay[J]. Journal on Communications, 2013,32(2): 53-60.
[8]	DING Z , FAN P , POOR H V . Random beamforming in millimeter-wave NOMA networks[J]. IEEE Access, 2016,5(99): 7667-7681. doi: 10.1109/Access.6287639
[9]	NAIN G , DAS S S , CHATTERJEE A . Low complexity user selection with optimal power allocation in downlink NOMA[J]. IEEE Wireless Communications Letters, 2017:1.
[10]	BENJEBBOUR A , LI A , SAITO Y ,et al. System-level performance of downlink NOMA for future LTE enhancement[C]// Globecom Workshops,December 9-13,2013,Atlanta,GA,USA. Piscataway:IEEE Press, 2014.
[11]	DONG-MEI Z . Linear water-filling power allocation algorithm in OFDMA system[J]. Journal of Electronics ＆ Information Technology, 2007,29(6): 1286-1289.
[12]	SAITO K , BENJEBBOUR A , KISHIYAMA Y ,et al. Performance and design of SIC receiver for downlink NOMA with open-loop SU-MIMO[C]// IEEE International Conference on communication Workshop,June 8-12,2015,London,UK. Piscataway:IEEE Press, 2015.
[13]	BENJEBBOUR A , SAITO Y , KISHIYAMA Y ,et al. Concept and practical considerations of non-orthogonal multiple access (NOMA) for future radio access[C]// 2013 International Symposium on Intelligent Signal Processing and Communications Systems (ISPACS) ,November 12-15,2013,Naha,Japan. Piscataway:IEEE Press, 2013.
[14]	CHANG Z , HOU X , GUO X ,et al. Energy efficient resource allocation for secure OFDMA relay systems with eavesdropper[C]// IEEE International Conference on Communications,May 22-27,2016,Kuala Lumpur,Malaysia. Piscataway:IEEE Press, 2016.
[15]	ZHANG X , CHEN H , JIANG L ,et al. Inter-cell interference coordination based on softer frequency reuse in OFDMA cellular systems[C]// International Conference on Neural Networks ＆Signal Processing,June 7-11,2008,Nanjing,China. Piscataway:IEEE Press, 2008.

参数	数值
小区半径	500 m
噪声功率谱密度	-174 dBm/Hz
t	1s
t1	0.5 s
t2	0.5 s
子信道带宽BW	1 MHz
时延扩展	1 μs
最大多普勒频移	50 Hz
FTPA功率分配因子	0.4
信道模型	瑞利衰落信道
信道估计	Ideal

多载波多用户下行NOMA系统的资源分配算法

Resource allocation algorithm for the downlink of multi-carrier and multi-user NOMA systems

在线阅读

PDF下载

可视化

摘要/Abstract

引用本文

使用本文

图/表 5

参考文献 15

相关文章 15

Metrics

推荐阅读 0

[1]	葛海江, 贾宁, 池凯凯, 陈云志. 非线性能量收集认知无线电网络的次用户吞吐量最大化方案[J]. 电信科学, 2023, 39(2): 103-117.
[2]	王晖, 邰其心, 刘镠, 王鸿, 宋荣方. 基于GSIC的上行链路毫米波大规模MIMO-NOMA系统低功耗传输方法[J]. 电信科学, 2023, 39(1): 51-59.
[3]	丁一凡, 李光球, 李辉. NOMA-D2D协作无线系统的物理层安全[J]. 电信科学, 2022, 38(9): 83-94.
[4]	余乐, 朱立东, 金亮, 李佳立, 刘轶伦, 郭晟. 基于广义近似消息传递的扰码多址卫星接收技术[J]. 电信科学, 2022, 38(4): 77-89.
[5]	丁一凡, 李光球, 李辉. 窃听者随机分布SWIPT-NOMA系统的物理层安全[J]. 电信科学, 2022, 38(3): 133-142.
[6]	绳韵, 许晨, 郑光远. 基于NOMA的超密集MEC网络任务卸载和资源分配方案[J]. 电信科学, 2022, 38(2): 35-46.
[7]	金小萍, 吴青, 翟文超, 包建荣. 非正交多址接入无线能量采集协作系统[J]. 电信科学, 2021, 37(4): 46-53.
[8]	魏贵明, 张翔, 郭宇航, 乔尚兵. 5G信道建模与性能测试方法[J]. 电信科学, 2021, 37(2): 15-21.
[9]	蔡建辉, 李光球, 段彦旭. 基于MBER的联合预编码与空时编码GFDM功率分配策略[J]. 电信科学, 2021, 37(12): 25-31.
[10]	董园园, 张钰婕, 李华, 王春雷, 刘晓菲, 戴晓明. 面向5G的非正交多址接入技术[J]. 电信科学, 2019, 35(7): 27-36.
[11]	徐琳,赵知劲. 基于CBR与合作Q学习的分布式CRN资源分配算法[J]. 电信科学, 2019, 35(2): 35-42.
[12]	易冰,陈永丽,赵瑞雪. 毫米波5G网络中D2D通信的资源分配方案[J]. 电信科学, 2019, 35(1): 138-146.
[13]	李鑫滨,张玲梅,韩松,黄志鹏,刘志新. 一种水声协作通信网络顽健功率分配算法[J]. 电信科学, 2019, 35(1): 44-53.
[14]	林泓池,孙文彬,郭继冲,麻津铭,周永康,于启月,孟维晓. 5G先进技术研究进展[J]. 电信科学, 2018, 34(8): 34-45.
[15]	韩帅,台祥雪,孟维晓. 空天地通信网络的物理层安全系统模型与关键技术[J]. 电信科学, 2018, 34(3): 23-31.