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

[1]

[Anonymous], 2017, 19 EUROPEAN C POWER

[2]

[Anonymous], 2016, P IEEE WCSP YANGZH J

[3]

[Anonymous], P IEEE INT C COMM IC

[4] Energy and Spectral Efficient Cognitive Radio Sensor Networks for Internet of Things [J].

Aslam, Saleem ;

Ejaz, Waleed ;

Ibnkahla, Mohamed .

IEEE INTERNET OF THINGS JOURNAL, 2018, 5 (04) :3220-3233

[5] A survey and taxonomy on nonorthogonal multiple-access schemes for 5G networks [J].

Basharat, Mehak ;

Ejaz, Waleed ;

Naeem, Muhammad ;

Khattak, Asad Masood ;

Anpalagan, Alagan .

TRANSACTIONS ON EMERGING TELECOMMUNICATIONS TECHNOLOGIES, 2018, 29 (01)

[6]

Benkhelifa F, 2016, IEEE INT CONF COMM, P676, DOI 10.1109/ICCW.2016.7503865

[7] Impact of User Pairing on 5G Nonorthogonal Multiple-Access Downlink Transmissions [J].

Ding, Zhiguo ;

Fan, Pingzhi ;

Poor, H. Vincent .

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2016, 65 (08) :6010-6023

[8] MIMO-NOMA Design for Small Packet Transmission in the Internet of Things [J].

Ding, Zhiguo ;

Dai, Linglong ;

Poor, H. Vincent .

IEEE ACCESS, 2016, 4 :1393-1405

[9] Multiband Spectrum Sensing and Resource Allocation for IoT in Cognitive 5G Networks [J].

Ejaz, Waleed ;

Ibnkahla, Mohamed .

IEEE INTERNET OF THINGS JOURNAL, 2018, 5 (01) :150-163

[10] Efficient Energy Management for the Internet of Things in Smart Cities [J].

Ejaz, Waleed ;

Naeem, Muhammad ;

Shahid, Adnan ;

Anpalagan, Alagan ;

Jo, Minho .

IEEE COMMUNICATIONS MAGAZINE, 2017, 55 (01) :84-91

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