Cognitive Radio Performance Enhancement Based on Frequency Hopping System

Cognitive Radio (CR) is the technology of used free spectrum band based on the main element as the primary, secondary users, through the structure can sense the surrounding environment and adapt to the different operating parameters to enhance the communication quality. A flexible and adaptable physical layer implementation is needed to achieve a better enhancement cognitive radio system. In this paper, the proposed system based on the most beneficial spread spectrum technique based on the used parameters determined as the Frequency-hopping spread spectrum (FHSS) to attend the Physical layer requirements of Cognitive Radio. The used system based on the Throughput, Data Drop Rate, and Detection Time simulation parameters. The used method provides high throughput performance for CR implementation with simulation parameters used and sent/received data messages, So the number of data transmission without errors increased. Moreover, the proposed system has been done using OMNET++ simulation tool.

[1]  Chunxiao Chigan,et al.  Dynamic spectrum access-based cryptosystem for cognitive radio networks , 2016, Secur. Commun. Networks.

[2]  Sattar B. Sadkhan,et al.  Performance Comparison of Hybrid Chaotic Maps Based on Speech Scrambling for OFDM Techniques , 2018, 2018 Third Scientific Conference of Electrical Engineering (SCEE).

[3]  Xiaohua Li,et al.  A frequency hopping spread spectrum transmission scheme for uncoordinated cognitive radios , 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

[4]  Sattar B. Sadkhan Performance Evaluation of Concatenated Codes applied in Wireless Channels , 2019, 2019 1st AL-Noor International Conference for Science and Technology (NICST).

[5]  Fatima Salahdine,et al.  Spectrum Sensing Techniques For Cognitive Radio Networks , 2017, ArXiv.

[6]  An Li,et al.  CogDFH- a Cognitive-Based differential frequency hopping network , 2009, MILCOM 2009 - 2009 IEEE Military Communications Conference.

[7]  نداء عبد المحسن عباس العطوان Wireless communication system based on GMSK modulation scheme , 2011 .

[8]  Anjali Agarwal,et al.  A survey on security in Cognitive Radio networks , 2014, 2014 6th International Conference on Computer Science and Information Technology (CSIT).

[9]  Sattar B. Sadkhan,et al.  Cognitive radio network security status and challenges , 2017, 2017 Annual Conference on New Trends in Information & Communications Technology Applications (NTICT).

[10]  Javier Blesa Martínez Cognitive strategies for security in wireless sensor networks , 2015 .

[11]  Frederic Gabry,et al.  Secrecy in Cognitive Radio Networks , 2014 .

[12]  Hanan A. R. Akkar,et al.  The WLAN/ WCDMA Blind Multimode Wireless Receiving System , 2012 .

[13]  Sirwan A. Mohammed,et al.  DESIGN OF WIRELESS NETWORK BASED ON NS2 , 2012 .

[14]  Renu Vig,et al.  Analysis of Spread Spectrum Techniques in Cognitive Radio Networks , 2016 .

[15]  Sattar B. Sadkhan,et al.  BLIND RECEIVER OF OFDM SYSTEM BASED ON ICA FOR SINGLE-INPUT SINGLE-OUTPUT SYSTEMS , 2010 .

[16]  Sattar B. Sadkhan,et al.  Keywords Sensitivity Recognition of Military Applications in Secure CRNs Environments , 2017, 2017 Second Al-Sadiq International Conference on Multidisciplinary in IT and Communication Science and Applications (AIC-MITCSA).

[17]  Sattar B. Sadkhan,et al.  Proposed Random Unified Chaotic Map as PRBG for Voice Encryption in Wireless Communication , 2015 .

[18]  Sattar B. Sadkhan,et al.  Privacy and Security of Wireless Communication Networks , 2014 .

[19]  Vinod Sharma,et al.  Soft real time implementation of a Cognitive Radio testbed for frequency hopping primary satisfying QoS requirements , 2014, 2014 Twentieth National Conference on Communications (NCC).

[20]  Sattar B. Sadkhan,et al.  Wireless communication system based on GMSK modulation scheme , 2011 .