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Relevant bibliographies by topics / Co-channel interference

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Journal articles

Academic literature on the topic 'Co-channel interference'

Author: Grafiati

Published: 4 June 2021

Last updated: 11 June 2025

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Journal articles on the topic "Co-channel interference"

1

Daniels, Karen, Kavitha Chandra, Sa Liu, and Sumit Widhani. "Dynamic channel assignment with cumulative co-channel interference." ACM SIGMOBILE Mobile Computing and Communications Review 8, no. 4 (2004): 4–18. http://dx.doi.org/10.1145/1052871.1052872.

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2

Xu, Yifan, Guochun Ren, Jin Chen, Xiaobo Zhang, Luliang Jia, and Lijun Kong. "Interference-Aware Cooperative Anti-Jamming Distributed Channel Selection in UAV Communication Networks." Applied Sciences 8, no. 10 (2018): 1911. http://dx.doi.org/10.3390/app8101911.

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This paper investigates the cooperative anti-jamming distributed channel selection problem in UAV communication networks. Considering the existence of malicious jamming and co-channel interference, we design an interference-aware cooperative anti-jamming scheme for the purpose of maximizing users’ utilities. Moreover, the channel switching cost and cooperation cost are introduced, which have a great impact on users’ utilities. Users in the UAV group sense the co-channel interference signal energy to judge whether they are influenced by co-channel interference. When the received co-channel interference signal energy is lower than the co-channel interference threshold, users conduct channel selection strategies independently. Otherwise, users cooperate with each other and take joint actions with a cooperative anti-jamming pattern under the impact of co-channel interference. Aiming at the independent anti-jamming channel selection problem under no co-channel interference, a Markov decision process framework is introduced, whereas for the cooperative anti-jamming channel selection case under the influence of co-channel mutual interference, a Markov game framework is employed. Furthermore, motivated by Q-learning with a “cooperation-decision-feedback-adjustment” idea, we design an interference-aware cooperative anti-jamming distributed channel selection algorithm (ICADCSA) to obtain the optimal anti-jamming channel strategies for users in a distributed way. In addition, a discussion on the quick decision for UAVs is conducted. Finally, simulation results show that the proposed algorithm converges to a stable solution with which the UAV group can avoid malicious jamming, as well as co-channel interference effectively and can realize a quick decision in high mobility UAV communication networks.

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3

Wang, Haitao, Xiaoyong Lyu, and Kefei Liao. "Co-Channel Interference Suppression for LTE Passive Radar Based on Spatial Feature Cognition." Sensors 22, no. 1 (2021): 117. http://dx.doi.org/10.3390/s22010117.

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Passive radars based on long-term evolution (LTE) signals suffer from sever interferences. The interferences are not only from the base station used as the illuminator of opportunity (BS-IoO), but also from the other co-channel base stations (CCBS) working at the same frequency with the BS-IoO. Because the reference signals of the co-channel interferences are difficult to obtain, cancellation performance degrades seriously when traditional interference suppression methods are applied in LTE-based passive radar. This paper proposes a cascaded cancellation method based on the spatial spectrum cognition of interference. It consists of several cancellation loops. In each loop, the spatial spectrum of strong interferences is first recognized by using the cyclostationary characteristic of LTE signal and the compressed sensing technique. A clean reference signal of each interference is then reconstructed according to the spatial spectrum previously obtained. With the reference signal, the interferences are cancelled. At the end of each loop, the energy of the interference residual is estimated. If the interference residual is still strong, then the cancellation loop continues; otherwise it terminates. The proposed method can get good cancellation performance with a small-sized antenna array. Theoretical and simulation results demonstrate the effectiveness of the proposed method.

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4

A., Soler, EI-Osmani A., and Ahmed M. "CO-CHANNEL INTERFERENCE CANCELLER FOR CELLULAR SYSTEMS." International Conference on Aerospace Sciences and Aviation Technology 9, ASAT Conference, 8-10 May 2001 (2001): 1–9. http://dx.doi.org/10.21608/asat.2001.31135.

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5

A., Soler, EI-Osmani A., and Ahmed M. "CO-CHANNEL INTERFERENCE CANCELLER FOR CELLULAR SYSTEMS." International Conference on Aerospace Sciences and Aviation Technology 9, no. 9 (2001): 817–25. http://dx.doi.org/10.21608/asat.2001.59702.

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6

Lan, Lina, Xuerong Gou, Jingli Mao, and Wenyuan Ke. "GSM co-channel and adjacent channel interference analysis and optimization." Tsinghua Science and Technology 16, no. 6 (2011): 583–88. http://dx.doi.org/10.1016/s1007-0214(11)70078-5.

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7

Su, Dongchu, Zengtian Chang, Jian Yang, Bowei Chang, Zhijun Zhu, and Lu Qiang. "Detection Technology of Intentional Electromagnetic Co-channel Interference Source." Journal of Physics: Conference Series 2366, no. 1 (2022): 012026. http://dx.doi.org/10.1088/1742-6596/2366/1/012026.

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Abstract The characteristics and action mechanisms of intentional interference sources were analyzed. Then, a fast detection method of intentional co-channel interference was proposed based on such technologies as real-time spectrum analysis, digital phosphor display, and co-channel signal direction-finding. Next, two classical intentional interference scenarios were reproduced, and interference sources were detected fast through the proposed method.

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8

Wang, Jui Teng. "Interference-Free Criterion for Interference-Unaware Receive Transform in MIMO Co-Channel Interference." IEEE Wireless Communications Letters 7, no. 2 (2018): 210–13. http://dx.doi.org/10.1109/lwc.2017.2764910.

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9

Ariska Cahya, Wisnu Djatmiko, and Aodah Diamah. "ANALISIS JARINGAN GSM 1800 MHZ PADA SEKTOR YANG MENGGUNAKAN FREQUENCY REUSE TERHADAP KUALITAS PELAYANAN BTS DKI JAKARTA DI PT. TELKOMSEL INDONESIA, TBK." JURNAL PENDIDIKAN VOKASIONAL TEKNIK ELEKTRONIKA (JVoTE) 1, no. 2 (2018): 20–23. http://dx.doi.org/10.21009/jvote.v1i2.17338.

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Abstrak- Tujuan dari penelitian ini adalah mencari hubungan antara Co – Channel Interference pada konsep Frequency Reuse terhadap kualitas pelayanan BTS DKI Jakarta.Penelitian ini menggunakan metode kuantitatif dimana data diolah dengan menggunakan korelasi product momment dengan bantuan microsoft excell. Penelitian ini menggunakan data sekunder yang bersumber dari PT, Telkomsel, tbk. yang diambil dengan metode drive test. Sampel yang diambil berjumlah 7 tempat di DKI Jakarta. Data yang diambil merupakan data dari nilai Carrier to Interference (C/I), juga nilai Rx Level dan jarak antara sel asli dan sel co – channel.Hasil penelitian ini menunjukkan bahwa nilai Rx Level berpengaruh terhadap nilai Carrier To Interference. Dimana Peneliti menggunakan Carrier To Interference. Dimana peneliti menggunakan Carrier To Interference untuk melihat kualitas dari pelayanan jaringan GSM 1800 MHz dan menggunakan Rx Level sebagai parameternya. Kata kunci : Co – Channel Interference, Frequency Reuse, GSM 1800 MHz, Carrier To Interference, Rx Level.  Abstract - The purpose of this research is to find a relationship between the Co - Channel Interference in Frequency Reuse concept of service quality BTS Jakarta.This research uses quantitative method where data is processed by using product moment correlation with the help of microsoft excell. This study uses secondary data sourced from PT, Telkomsel, tbk. captured with drive test method. The sample is 7 places in DKI Jakarta. The data taken is data from Carrier to Interference (C / I) value, also Rx Level and distance between original cell and co-channel cell.The results of this study indicate that the value of Rx Level effect on the value of Carrier To Interference. Where Researchers use Carrier To Interference. Where the researcher uses Carrier To Interference to see the quality of GSM 1800 MHz network service and use Rx Level as its parameter. Keywords: Co - Channel Interference, Frequency Reuse, GSM 1800 MHz, Carrier To Interference, Rx Level

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10

Saini, Jatinder Singh, and Balwinder Singh Sohi. "Performance evaluation of interference aware topology power and flow control channel assignment algorithm." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 3 (2020): 2503. http://dx.doi.org/10.11591/ijece.v10i3.pp2503-2512.

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Multi-Radio Multi-Channel Wireless Mesh Network (MRMC-WMN) has been considered as one of the key technology for the enhancement of network performance. It is used in a number of real-time applications such as disaster management system, transportation system and health care system. MRMC-WMN is a multi-hop network and allows simultaneous data transfer by using multiple radio interfaces. All the radio interfaces are typically assigned with different channels to reduce the effect of co-channel interference. In MRMC-WMN, when two nodes transmit at the same channel in the range of each other, generates co-channel interference and degrades the network throughput. Co-channel interference badly affects the capacity of each link that reduces the overall network performance. Thus, the important task of channel assignment algorithm is to reduce the co-channel interference and enhance the network performance. In this paper, the problem of channel assignment has been addressed for MRMC-WMN. We have proposed an Interference Aware, Topology, Power and Flow Control (ITPFC) Channel Assignment algorithm for MRMC-WMN. This algorithm assignes the suitable channels to nodes, which provides better link capacity and reduces the co-channel interference. In the previous work performance of the proposed algorithm has been evaluated for a network of 30 nodes. The aim of this paper is to further evaluate the performance of proposed channel assignment algorithm for 40 and 50 nodes network. The results obtained from these networks show the consistent performance in terms of throughput, delay, packet loss and number of channels used per node as compared to LACA, FCPRA and IATC Channel Assignment algorithms.

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