Co-channel Interference Monitoring based on Cognitive Radio Node Station Arief Marwanto Dept. of Electrical Engineering – Post Graduated Study, Faculty of Industrial Engineering Univ. Islam Sultan Agung (UNISSULA) Semarang – Indonesia arief@unissula.ac.id Daniel Triswahyudi PT Polytron Electronic Indonesia Staff Kudus Indonesia M Ulin Nuha Electrical Engineering Student, Faculty of Industrial Engineering Univ. Islam Sultan Agung (UNISSULA) Semarang – Indonesia ulin.cenx9395@gmail.com Jenny P Hapsary Dept of Electrical Engineering Faculty of Industrial Engineering Univ. Islam Sultan Agung (UNISSULA) Semarang – Indonesia jenny@unissula.ac.id Abstract—Most of installation on wireless LAN on the building is not considering location and geographic space are which probable co-channel interference among near-far wi-fi stations. The use of the same channel which causes of receiver stations experiences of error transmission and delay among data transmission. To analyze this drawbacks, cognitive radio (CR) is adopted which able to monitoring co-channel interference on wi-fi stations. Node MCU Arduino is used to proposed cognitive radio terminal which able to analyzed and monitoring co-channel interference among wi-fi stations known as co-channel monitoring cognitive radio (CCMCR). One of the CR task is ability to sensing the whole spectrum channel that operated in certainty frequency. Node MCU is sensed the energy power of the wi-fi stations and converted by analog-to-digital converter which detected power level of the received signal strength indicator (RSSI). The proposed model is examined by indoor experiments which obtained 63.8% co- channel average and adjacent-channel is 36.1%. Thus the proposed CCMCR node station is able to monitor co-channel interference and adjacent-channel as well. Therefore, the results could be used as the basic analysis for the development and installation of wi-fi stations in the building. Keywords: cognitive radio, spectrum sensing, software defined radio, co-channel interference I. INTRODUCTION Increasingly widespread use of wi-fi users that utilize the 2.4 GHz frequency, such as in offices, computer labs, and high rise buildings, resulting in negative impacts due to un- licensed band frequency of 2.4 GHz, resulting in co-channel interference between users [1]. Co-channel is a fellow radio wave signal operating on the same channel frequency, consequently the client device will encounter an error when translating the same information code [2]. Co-channel occurs when using a channel that does not have enough distance between channels. Co-channel can decrease access point performance in transmitting and receiving signals, access point will lose power and can lose database, consequently error on bits of information being sent, so that the recipient client finds error, or delay in sending data[3]. When the co-channel happens it will decrease the quality of service on the wireless LAN. Steps prevent co-channel on wireless LAN, using technological breakthroughs such as Cognitive Radio (CR) to improve the quality of service. In [4] cognitive Radio is an intelligent wireless communication system capable of being aware of the conditions of the surrounding environment and using the "understanding-by-building" methodology to learn from the environment and adapting its internal status to statistical variations in the coming radio frequency (RF) stimulant by making changes to certain operating parameters such as transmission power, carrier frequency, or modulation strategy. While in [5] wireless network and wireless network optimization by minimizing roaming is analyzed. Examination is done by measuring bandwidth, measuring the speed and stability of data transfer during roaming. Moreover, speed and stability of transfer with wireless network system are measures. However, performance testing of each access point which is determined the quality of overall signal and co-channel is not considered. While in [6] has introduced access point interference among wi-fi networks. Interference measurement has proposed by experiencing on topology networks which setup onto bandwidth, signal and noise measurements. Unfortunately, individual measurements that officially done are not consider link budget analysis, co-channel interference, RSSI and energy signal measurements. Research conducted by [7] explains the Bluetooth technique operates in the 2.4 GHz frequency band which is the same as IEEE 802.11b or Wi-Fi. During Wi-Fi and Bluetooth technologies are used simultaneously at the same time, the chances of interference are enormous because they operate in the same frequency band of 2.4 GHz. The method used is the measurement to determine the effect of Bluetooth interference on IEEE 802.11b WLAN performance system (Wi-Fi). The parameters used are transmission time and throughput. Based on these parameters, it is found that interference effect can affect the feasibility of a Wi-Fi network service. However, monitoring and co-channel interference are not involving in this experiments. In order to investigate the performance of the hotspot, [8] has investigate adjacent signal interference (Co-Channel Interference) which degrade the received signal quality. Interference measurement has been done through six experiments through an implementation on an infrastructure topology, interference measurements can be seen from Quality of service with three parameters such as bandwidth measurement, signal measurement, and noise measurement. Moreover, in [7] has investigate measurement analysis inside Proceeding of EECSI 2018, Malang - Indonesia, 16-18 Oct 2018 978-1-5386-8402-3/18/$31.00 ©2018 IEEE 286 brought to you by CORE View metadata, citation and similar papers at core.ac.uk provided by Proceeding of the Electrical Engineering Computer Science and Informatics