Resource Management for Cognitive IoT Systems With RF Energy Harvesting in Smart Cities

被引：43

作者：

Alzahrani, Bander ^{[1
]}

Ejaz, Waleed ^{[2
]}

机构：

[1] King Abdulaziz Univ, Fac Comp & Informat Technol, Jeddah, Saudi Arabia

[2] Thompson Rivers Univ, Dept Appl Sci & Engn, Kamloops, BC V2C 0C8, Canada

来源：

IEEE ACCESS | 2018年 / 6卷

关键词：

5G networks; energy efficient; Internet of Things; smart cities; spectrum efficient; SENSOR NETWORKS; MULTIPLE-ACCESS; 5G SYSTEMS; INTERNET; THINGS; CHALLENGES; RADIO;

D O I：

10.1109/ACCESS.2018.2874134

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The number of Internet of Things (IoT) nodes is increasing in modern cities which demands spectrum and energy efficiency. Fifth-generation (5G) networks are considered as a key paradigm for the realization of future IoT applications. Particularly, cognitive radio and non-orthogonal multiple access are candidate technologies for 5G networks that can improve spectral efficiency and accommodate a large number of IoT devices. Furthermore, radio frequency (RF) energy harvesting can increase the energy efficiency of IoT networks. In this paper, we propose a resource management scheme for cognitive IoT network with RF energy harvesting in 5G networks. The objective is to maximize the throughput while assuring quality-of-service requirements in terms of data rate and minimum residual energy constraint on each IoT node. We use mixed integer linear programming and greedy approaches to solve the optimization problem. We then present the simulation results of the proposed scheme to exhibit the significant positive impact on the performance of the IoT network.

引用

页码：62717 / 62727

页数：11

共 35 条

[11] Efficient Wireless Power Transfer in Software-Defined Wireless Sensor Networks [J].

Ejaz, Waleed ;

Naeem, Muhammad ;

Basharat, Mehak ;

Anpalagan, Alagan ;

Kandeepan, Sithamparanathan .

IEEE SENSORS JOURNAL, 2016, 16 (20) :7409-7420

[12]

Ejaz W, 2015, 2015 IEEE 26TH ANNUAL INTERNATIONAL SYMPOSIUM ON PERSONAL, INDOOR, AND MOBILE RADIO COMMUNICATIONS (PIMRC), P1238, DOI 10.1109/PIMRC.2015.7343488

[13] Reconfigurable Wireless Networks [J].

El-Mougy, Amr ;

Ibnkahla, Mohamed ;

Hattab, Ghaith ;

Ejaz, Waleed .

PROCEEDINGS OF THE IEEE, 2015, 103 (07) :1125-1158

[14] RF Energy Harvesting and Transfer for Spectrum Sharing Cellular IoT Communications in 5G Systems [J].

Ercan, Ali O. ;

Sunay, M. Oguz ;

Akyildiz, Ian F. .

IEEE TRANSACTIONS ON MOBILE COMPUTING, 2018, 17 (07) :1680-1694

[15] Service Centric Markov based Spectrum Sharing for Internet of Things (IoT) [J].

Eswaran, Subha P. ;

Bapat, Jyotsna .

2015 IEEE REGION 10 SYMPOSIUM (TENSYMP), 2015, :9-12

[16]

Etim Ifiok E., 2016, IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society, P4701, DOI 10.1109/IECON.2016.7793782

[17] IoT Connectivity in Radar Bands: A Shared Access Model Based on Spectrum Measurements [J].

Khan, Zaheer ;

Lehtomaki, Janne J. ;

Iellamo, Stefano ;

Vuohtoniemi, Risto ;

Hossain, Ekram ;

Han, Zhu .

IEEE COMMUNICATIONS MAGAZINE, 2017, 55 (02) :88-96

[18] Inspection game based cooperative spectrum sensing and sharing scheme for cognitive radio IoT system [J].

Kim, Sungwook .

COMPUTER COMMUNICATIONS, 2017, 105 :116-123

[19] User Pairing for Downlink Non-Orthogonal Multiple Access Networks Using Matching Algorithm [J].

Liang, Wei ;

Ding, Zhiguo ;

Li, Yonghui ;

Song, Lingyang .

IEEE TRANSACTIONS ON COMMUNICATIONS, 2017, 65 (12) :5319-5332

[20]

Lim Teck Beng, 2016, 2016 IEEE Conference on Technologies for Sustainability (SusTech), P169, DOI 10.1109/SusTech.2016.7897161

← 1 2 3 4 →