Adaptive transmission power allocation algorithm in device to device manner of 5G mobile networks

Yupeng WANG; Xin DAI; Kaili LI

doi:10.11959/j.issn.1000-0801.2017028

您当前的位置：

首页 >

文章列表页 >

Adaptive transmission power allocation algorithm in device to device manner of 5G mobile networks

Research and development | 更新时间：2024-06-05

- Adaptive transmission power allocation algorithm in device to device manner of 5G mobile networks
- Telecommunications Science Vol. 33, Issue 2, Pages: 73-78(2017)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.1000-0801.2017028
  CLC： TN915
- Published Online：2017-02，
  
  Published：20 February 2017
- 稿件说明：
移动端阅览
Yupeng WANG, Xin DAI, Kaili LI. Adaptive transmission power allocation algorithm in device to device manner of 5G mobile networks[J]. Telecommunications science, 2017, 33(2): 73-78.
DOI：

Yupeng WANG, Xin DAI, Kaili LI. Adaptive transmission power allocation algorithm in device to device manner of 5G mobile networks[J]. Telecommunications science, 2017, 33(2): 73-78. DOI： 10.11959/j.issn.1000-0801.2017028.

摘要

作为对传统移动通信网络的有力补充，终端直连（device to device

D2D）的概念被引入未来5G移动通信网络中。为了解决D2D方式中无基站中转的通信问题及非基站控制用户无序发送所带来的复杂干扰环境及覆盖盲区情况下发送资源的自适应优化分配问题，提出了一种基于博弈理论与模糊逻辑理论的发送功率自适应分配算法，用以充分利用系统的功率与频谱资源，同时降低功率分配对其他用户产生的干扰影响。通过对计算机仿真结果的分析，提出的算法相对于传统的平均功率分配算法及分布式注水算法有一定的性能提高。

Abstract

As a strong supplementary technique to the traditional mobile communication networks

the concept of device to device was introduced into the future 5G mobile communication networks.To solve the problems of base station-free transmission manner and the complex interference environment induced by the non-coordinated user data transmission

an adaptive transmission power allocation algorithm based on game theory and fuzzy logic was proposed

to utilize the system power and frequency in a more efficient way while minimizing the interference to other users.Through the simulation results

the proposed algorithm outperformed the conventional equal power allocation and distributed water-filling algorithms in the aspect of user received data rates.

关键词

Keywords

references

凌亚，张勇，庄园 . 基于分区和干扰限制区域的多小区 D2D资源分配策略 [J ] . 广东通信技术， 2016 ( 2 ): 37 - 41 .

LING Y , ZHANG Y , ZHUANG Y . Cell splitting and interference limitation area based multi-cell D2D resource assignment strategy [J ] . JGuangdong Communication Technology , 2016 ( 2 ): 37 - 41 .

李国友，周亚建，原泉，等 . 利用干扰消除的协同中继传输方案 [J ] . 应用科学学报， 2013 , 31 ( 2 ): 111 - 115 .

LI G Y , ZHOU Y J , YUAN Q , et al . Cooperative relay transmission scheme based on interference cancelation [J ] . Journal of Applied Sciences , 2013 , 31 ( 2 ): 111 - 115 .

李国彦，张有光，廖芒 . 一种基于 QoS的自适应混合协同传输方法及性能分析 [J ] . 航空学报， 2012 ( 9 ): 1688 - 1696 .

LI G Y , ZHANG Y G , LIAO M . Method and performance of QoS-based adaptive hybrid cooperative transmission [J ] . Acta Aeronautica ET Astronautica Sinica , 2012 ( 9 ): 1688 - 1696 .

LOZANO A , TULINO A M , VERDU S . Mercury/waterfilling for fixed wireless OFDM systems [C ] // 2006 IEEE Symposium on Radio ＆ Wireless , Oct 17 - 19 , 2006 , San Diego,CA,USA . New Jersey : IEEE Press , 2006 : 211 - 214 .

LOZANO A , TULINO A M , VERDU S . ptimum power allocation for multi-user OFDM with arbitrary signal constellations [J ] . IEEE Transactions on Communications , 2008 , 56 ( 5 ): 828 - 834 .

KWON H , LI B G . Distributed resource allocation through non-cooperative game approach in multi-cell OFDMA systems [C ] // 2006 IEEE ICC , Jun 11 - 15 , 2006 , Istanbul,Turkey . New Jersey : IEEE Press , 2006 : 4345 - 4350 .

LOBINGER A , STEFANSKI S , JANSEN T , et al . Load balancing in downlink LTE self-optimizing networks [C ] // 2010 IEEE 71st Vehicular Technology Conference , May 16 - 19 , 2010 , Taipei,China . New Jersey : IEEE Press , 2010 : 1 - 5 .

KWAN R , ARNOTT R , PATERSON R , et al . Load balancing in downlink LTE self-optimizing networks [C ] // 2010 IEEE 71st Vehicular Technology Conference , May 16 - 19 , 2010 , Taipei,China . New Jersey : IEEE Press , 2010 : 1 - 5 .

MUNOZ P , BARCO R , BANDERA I , et al . Optimization of a fuzzy logic controller for handover-based load balancing [C ] // 2011 IEEE 72st Vehicular Technology Conference (VTC Spring) , May 15 - 18 , 2011 , Budapest,Hungary . New Jersey : IEEE Press , 2011 : 1 - 5 .

FALOWO O E , CHAN H A . Fuzzy logic based call admission control for next generation wireless networks [C ] // 2006 3rd International Symposium on Wireless Communication Systems , Sept 6 - 8 , Valencia,Spain . New Jersey : IEEE Press , 2006 : 574 - 578 .

YE J , SHEN X , MARK J W . Call admission control in wideband CDMA cellular networks by using fuzzy logic [J ] . IEEE Transactions on Mobile Computing , 2005 , 4 ( 2 ): 129 - 141 .

IKEBATA T , MINO G , BAROLLI L , et al . Fuzzy logic based call admission control for next generation wireless networks [C ] // 2010 International Conference on Broadband,Wireless Computing,Communication and Applications , Nov 4 - 6 , 2010 , Fukuoka,Japan . New Jersey : IEEE Press , 2010 : 616 - 621 .

3GPP . Evolved universal terrestrial radio access (E-UTRA);further advancements for E-UTRA physical layer aspects:TS 36.814,V9.0.0 [S ] . 2010 .

3GPP . Study on LTE device to device proximity services; radio aspects:TR 36.843 V12.0.1 [S ] . 2014 .

GOLDSMITH A J , CHUA S G . Variable-rate variable-power MQAM for fading channels [J ] . IEEE Transactions on Communication , 1997 , 45 ( 10 ): 1218 - 1230 .

3GPP . Evolved universal terrestrial radio access (E-UTRA) and evolved universal terrestrial radio access network (EUTRAN);overall description:TS 36.300,V8.4.0 [S ] . 2008 .

3GPP . Evolved universal terrestrial radio access (E-UTRA);physical layer procedures:TS 136.213,V10.1.0 [S ] . 2011 .

Views

624

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Enhanced zebra optimization algorithm and applications of power allocation in SDWN

Review on unmanned aerial vehicle covert communication network

A survey on networking key technologies for LEO satellite network

Review on resources allocation and pricing methods in mobile edge computing

MBER power allocation for joint precoding and space-time coding GFDM

Related Author

JIANG Xian

DONG Ligang

LI Jiajia

Haichao WANG

Hengzhi BAI

Guoxin LI

Yuping GONG

Yizhe FENG

Related Institution

School of Information and Electronic Engineering (Sussex Artificial Intelligence Institute), Zhejiang Gongshang University

Huawei Technologies Co., Ltd.

State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications

School of Computer Sciences, Minnan Normal University

Key Laboratory of Data Science and Intelligence Application, Fujian Province University, Minnan Normal University

⁰