Centralized Monitored Spectrum Management using Multi-resource Parallel Sensing in Cognitive Radio Networks-Reference-Cited by-同舟云学术

Centralized Monitored Spectrum Management using Multi-resource Parallel Sensing in Cognitive Radio Networks

Published:2022-12-07 Issue: Volume: Page:
ISSN:1550-4859
Container-title:ACM Transactions on Sensor Networks
language:en
Short-container-title:ACM Trans. Sen. Netw.

Author:

Madhunala Srilatha¹^ORCID,Anantha Bharathi²^ORCID

Affiliation:

1. Department of ECE, Vardhaman College of Engineering, Hyderabad, Telangana, India

2. Department of ECE, University College of Engineering, Osmania University, Hyderabad, Telangana, India

Abstract

Spectrum sensing has a very important role in the operation of cognitive radio network. A proper sensing and utilization improve the performance of cognitive radio network (CRN). Different methodologies were developed in past to improve the sensing and utilization performance in CRN. Parallel sensing is used as an optimal approach in spectrum sensing with reduced delay of operation but restraint with multiple requests for spectrum sensing. A random generation of sensing requests results in large time delay and interference in the network. To minimize the interference effect and requesting overhead, this paper presents a new approach of spectrum sensing by centralized monitoring of spectrum engagement of Primary User (PU). The proposed approach operates on a repository monitoring of channel engagement to control the request granting for spectrum sensing in PUs. In addition, the sharing of spectrum usage is controlled by monitoring the spectral efficiency and interference in the network. Simulation results obtained illustrates an enhancement in network throughput, spectrum sensing and spectrum utilization performance where an average network throughput is observed to improve by 80% for varying number of primary channels and varying load conditions. The spectrum sensing is improved by 70% in average for varying primary channels and load conditions and Ideal channel utilization for the proposed approach is observed to improve by 90%.

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications

Link

https://dl.acm.org/doi/pdf/10.1145/3572913

Reference43 articles.

1. Rahim Muddasir Riaz Hussain Irfan Latif Khan Ahmad Naseem Alvi Muhammad AwaisJaved Atif Shakeel Qadeer Ul Hasan Byung Moo Lee Shahzad A. Malik.: Self-Organized Efficient Spectrum Management through Parallel Sensing in Cognitive Radio Network. Wireless Communications and Mobile Computing (2021). https://doi.org/10.1155/2021/5552012. 10.1155/2021

2. Rahim Muddasir Riaz Hussain Irfan Latif Khan Ahmad Naseem Alvi Muhammad AwaisJaved Atif Shakeel Qadeer Ul Hasan Byung Moo Lee Shahzad A. Malik.: Self-Organized Efficient Spectrum Management through Parallel Sensing in Cognitive Radio Network. Wireless Communications and Mobile Computing (2021). https://doi.org/10.1155/2021/5552012.

3. Samala Srinivas , Subhashree Mishra , Sudhansu Sekhar Singh .: Spectrum Sensing Techniques in Cognitive Radio Technology: A Review Paper . Journal of Communications. 5 , No. 7 , 577 - 582 ( 2020 ). Samala Srinivas, Subhashree Mishra, Sudhansu Sekhar Singh.: Spectrum Sensing Techniques in Cognitive Radio Technology: A Review Paper. Journal of Communications. 5, No. 7, 577-582 (2020).

4. XieShengli, Yi Liu , Yan Zhang , Rong Yu . : A parallel cooperative spectrum sensing in cognitive radio networks . IEEE transactions on vehicular technology. 59, No. 8, 4079-4092 (2010). https://doi.org/10.1109/TVT.2010.2056943. 10.1109/TVT.2010.2056943 XieShengli, Yi Liu, Yan Zhang, Rong Yu.: A parallel cooperative spectrum sensing in cognitive radio networks. IEEE transactions on vehicular technology. 59, No. 8, 4079-4092 (2010). https://doi.org/10.1109/TVT.2010.2056943.

5. Arjoune Youness , Zakaria El Mrabet , Hassan El Ghazi, Ahmed Tamtaoui.: Spectrum sensing- Enhanced energy detection technique based on noise measurement . IEEE 8th annual computing and communication workshop and conference. 828-834 ( 2018 ). https://doi.org/10.1109/CCWC.2018.8301619. 10.1109/CCWC.2018.8301619 Arjoune Youness, Zakaria El Mrabet, Hassan El Ghazi, Ahmed Tamtaoui.: Spectrum sensing- Enhanced energy detection technique based on noise measurement. IEEE 8th annual computing and communication workshop and conference. 828-834 (2018). https://doi.org/10.1109/CCWC.2018.8301619.