A Fuzzy-Based Optimization Technique for the Energy and Spectrum Efficiencies Trade-Off in Cognitive Radio-Enabled 5G Network

被引：34

作者：

Khalaf, Osamah Ibrahim ^{[1
]}

Ogudo, Kingsley A. ^{[2
]}

Singh, Manwinder ^{[3
]}

机构：

[1] AI Nahrain Univ, Al Nahrain Nanorenewable Energy Res Ctr NNERC, Baghdad 64074, Iraq

[2] Univ Johannesburg, Fac Engn & Built Environm, Dept Elect & Elect Engn, ZA-2092 Johannesburg, South Africa

[3] Lovely Profess Univ, Fac Engn, Dept ECE, Jalandhar 144001, Punjab, India

来源：

SYMMETRY-BASEL | 2021年 / 13卷 / 01期

关键词：

cognitive radios (CR); co-operative spectrum sensing (CSS); quality of service provisioning; look-up table (LUT); energy harvesting (EH); energy efficiency; spectrum efficiency; symmetrical trade-off; 5G-CRN; POWER ALLOCATION; SENSING TIME; DESIGN; ACCESS;

D O I：

10.3390/sym13010047

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

In 5G systems, enhancing the energy efficiency (EE) and spectrum efficiency (SE) is a significant task that is capable of fulfilling the demand of future wireless networks and providing Quality of Service (QoS) provisioning, such as high throughput with low power consumption. In the present work, a look-up table enabled a fuzzy-based approach to investigate the SE and EE issues in 5G networks and obtained an efficient symmetrical trade-off between them to enhance the system's overall performance. We completed simulations in NS-2.31 software version 2.31, and MATLAB is used to visualize the results. The proposed model achieved maximum values of EE and SE of 0.92 bit/J/Hz with a sensing time tau(s(LUT)) = 20 ms. Furthermore, optimizing the sensing time and the secondary user (SU) transmission power, yielded a maximum EE and provided a QoS provisioned cognitive radio-enabled 5G network.

引用

页码：1 / 14

页数：14

共 34 条

[1]

Abdulsahib Ghaida Muttashar, 2018, INT J SIMULATION SYS, V19

[2] Cooperative spectrum sensing in cognitive radio networks: A survey [J].

Akyildiz, Ian F. ;

Lo, Brandon F. ;

Balakrishnan, Ravikumar .

PHYSICAL COMMUNICATION, 2011, 4 (01) :40-62

[3] A New Computational Approach for Maximum Link Activation in Wireless Networks under the SINR Model [J].

Capone, Antonio ;

Chen, Lei ;

Gualandi, Stefano ;

Yuan, Di .

IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2011, 10 (05) :1368-1372

[4] Algorithms for the design of 5G networks with VNF-based Reusable Functional Blocks [J].

Chiaraviglio, Luca ;

D'Andreagiovanni, Fabio ;

Rossetti, Simone ;

Sidoretti, Giulio ;

Blefari-Melazzi, Nicola ;

Salsano, Stefano ;

Chiasserini, Carla-Fabiana ;

Malandrino, Francesco .

ANNALS OF TELECOMMUNICATIONS, 2019, 74 (9-10) :559-574

[5] GUB Covers and Power-Indexed Formulations for Wireless Network Design [J].

D'Andreagiovanni, Fabio ;

Mannino, Carlo ;

Sassano, Antonio .

MANAGEMENT SCIENCE, 2013, 59 (01) :142-156

[6] Designing Energy-Efficient Wireless Access Networks: LTE and LTE-Advanced [J].

Deruyck, Margot ;

Joseph, Wout ;

Lannoo, Bart ;

Colle, Didier ;

Martens, Luc .

IEEE INTERNET COMPUTING, 2013, 17 (05) :39-45

[7] Cognitive radio: Brain-empowered wireless communications [J].

Haykin, S .

IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2005, 23 (02) :201-220

[8] Energy-Efficient Cooperative Spectrum Sensing with Quality-of-Service Provisioning [J].

Hu, Hang ;

Zhang, Hang ;

Gao, Weiting ;

Li, Lei ;

Wang, Qian ;

Guan, Yewen .

WIRELESS PERSONAL COMMUNICATIONS, 2017, 94 (03) :1427-1442

[9] An energy efficient and spectrum efficient wireless heterogeneous network framework for 5G systems [J].

1600, Institute of Electrical and Electronics Engineers Inc., United States (52) :94-101

[10]

Ibrahim Khalaf O., 2018, J. Eng. Appl. Sci., V13, P9277

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