Relevant bibliographies by topics / Co-channel interference

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Co-channel interference'

Author: Grafiati
Published: 4 June 2021
Last updated: 21 February 2023

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Journal articles on the topic "Co-channel interference"

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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 (October 2004): 4–18. http://dx.doi.org/10.1145/1052871.1052872.

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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 (October 14, 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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Wang, Haitao, Xiaoyong Lyu, and Kefei Liao. "Co-Channel Interference Suppression for LTE Passive Radar Based on Spatial Feature Cognition." Sensors 22, no. 1 (December 24, 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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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 (May 1, 2001): 1–9. http://dx.doi.org/10.21608/asat.2001.31135.

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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 (May 1, 2001): 817–25. http://dx.doi.org/10.21608/asat.2001.59702.

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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 (December 2011): 583–88. http://dx.doi.org/10.1016/s1007-0214(11)70078-5.

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

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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 (October 8, 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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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 (June 1, 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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Dissertations / Theses on the topic "Co-channel interference"

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Lynch, Jamel Pleasant. "Co-Channel Interference In Bluetooth Piconets." Thesis, Virginia Tech, 2002. http://hdl.handle.net/10919/35741.

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Bluetoothâ ¢ is an emerging short-range RF wireless voice and data communication technology expected to spread widely in a couple of years. The open specification technology eliminates the need for cables to connect mobile phones, portable computers and countless other devices to each other from all different manufacturers. This thesis provides an overview of the emerging Bluetoothâ ¢ technology and investigates the performance of Bluetoothâ ¢ data networks in various network topologies simulated from actual usage scenarios. Using a typical office environment, the study examines the probability and effects of Co-Channel interference as Bluetoothâ ¢ ad-hoc networks are formed in adjacent offices. A computer aided simulation tool, MATLAB simulates a low to highly dense interfering Bluetoothâ ¢ environment which provides the parameters to evaluate the bluetooth co-channel interference and performance. Several metrics are identified to predict Bluetoothâ ¢ performance in a piconet after a collision has occurred: data through put, the probability of frequency collision, transmitter - receiver distance, and power received. Next, to predict Bluetooth performance we also need to define what constitutes a lost packet. Finally, a Bluetoothâ ¢network simulation is developed to measure the metrics, given occurrence of the lost packets.
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Detert, Thorben. "Low complexity co-channel interference cancellation." Göttingen Sierke, 2008. http://d-nb.info/991223314/04.

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Li, Yuan. "Multiuser Detection for Co-channel Interference Cancellation." 京都大学 (Kyoto University), 2000. http://hdl.handle.net/2433/180902.

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Won, Jonghyun. "Co-channel interference suppression for ofdm systems." [Gainesville, Fla.] : University of Florida, 2003. http://purl.fcla.edu/fcla/etd/UFE0001170.

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Patterson, John E. "Co-channel interference mitigation using satellite based receivers." Thesis, Monterey, California: Naval Postgraduate School, 2014. http://hdl.handle.net/10945/44642.

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Approved for public release; distribution is unlimited
This thesis investigates a means to mitigate co-channel interference from fourth generation cellular signals in order to support passive synthetic aperture radar (SAR) imaging using those same signals. Synthetic aperture radar is a staple of the military and intelligence communities, but the active transmission required for such images informs the target of the imaging process. Use of passive signals, such as the orthogonal frequency-division multiplexing (OFDM) signals of fourth generation cellular systems, is an attractive option, but co-channel interference mitigation is required. A method to separate the transmitted signals that leverages the estimated signal delays between multiple transmitters and receivers is examined for narrowband and wideband signals. Multiple methods of assessing recovery performance are proposed. The impact of noise is considered, as is the impact of collection geometry on recovery perfor-mance, and recovery of OFDM signals is evaluated. Signal interpolation is a critical element of the proposed recovery process, and two methods are compared for accuracy and speed of computation.
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Yu, Hyungseok. "Performance of cooperative relaying systems with co-channel interference." Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/45744.

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The cooperative relaying scheme is a promising technique for increasing the capacity and reliability of wireless communication. Even though extensive research has performed in information theoretical aspect, there are still many unresolved practical problems of cooperative relaying system. This dissertation analyzes the performance of cooperative decode-and-forward (DF) relaying systems in the presence of multiple interferers and improve network throughput for these systems. We propose and summarize various systems in the view of network topology, transmission structure, and slot allocation. We present closed-form expressions for the end-to-end outage probability, average symbol-error-probability, average packet-error-probability, and network throughput of the proposed systems. This dissertation shows that the robustness of the destination against interference is more important than robustness of the relay against interference from an interference management perspective, and increasing the number of branches yields better outage and error performance improvements against shadowing than increasing the number of hops. In cellular networks, the cooperative diversity systems can outperform the dual-Rx antenna system, but only when the relay is located in a relatively small portion of the total cell area with respect the the destination mobile terminal. The results also show that since the effective regions of the uplink and the downlink do not overlap, different relays should be utilized for cell sectorization in the uplink and the downlink. Finally, the proposed variable-slot selection DF scheme can reduce the system complexity and make the maximum throughput point in the low and moderate signal-to-interference-plus-noise ratio region.
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M, M. Galib Asadullah. "Robust wireless communications under co-channel interference and jamming." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2008. http://hdl.handle.net/1853/22571.

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Thesis (Ph. D.)--Electrical and Computer Engineering, Georgia Institute of Technology, 2008.
Committee Chair: Gordon L. Stuber; Committee Member: Alfred D. Andrew; Committee Member: John A. Buck; Committee Member: Steven W. McLaughlin; Committee Member: Ye (Geoffrey) Li.
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Welborn, Matthew L. "Co-channel interference rejection using a model-based demodulator." Thesis, This resource online, 1995. http://scholar.lib.vt.edu/theses/available/etd-01312009-063544/.

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Austin, Mark David. "Handoff algorithms and co-channel interference analysis for microcellular systems." Diss., Georgia Institute of Technology, 1994. http://hdl.handle.net/1853/15349.

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Murata, Hidekazu. "NONLINEAR CO-CHANNEL INTERFERENCE CANCELLATION TECHNIQUE FOR DIGITAL MOBILE COMMUNICATIONS." Kyoto University, 2000. http://hdl.handle.net/2433/181010.

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Books on the topic "Co-channel interference"

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Sanders, Frank H. Measurements of pulsed co-channel interference in a 4-GHz digital earth station receiver. [Boulder, Colo.]: U.S. Dept. of Commerce, National Telecommunications and Information Administration, 2002.

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Mayer, Tanya G. Evaluation of and methods to reduce co-channel interference on the forward channel of a CDMA cellular system. Monterey, Calif: Naval Postgraduate School, 1998.

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Tsiridis, Konstantinos. Time domain simulation MFSK communications system performance in the presence of wideband noise and co-channel interference. Monterey, Calif: Naval Postgraduate School, 1998.

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Erdogan, Veysel. A simulation of MPSK communications system performance in the presence of wideband noise and co-channel interference. Monterey, Calif: Naval Postgraduate School, 1998.

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Evaluation and Methods to Reduce Co-Channel Interference on the Reverse Channel of a CDMA Cellular System. Storming Media, 1999.

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Evaluation of and Methods to Reduce Co-Channel Interference on the Forward Channel of a CDMA Cellular System. Storming Media, 1998.

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G, Balu. Cellular and Mobile Communication-2: Co-Channel Interference Measurement at the Mobile Unit and Cell Site. Independently Published, 2018.

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A Simulation of MPSK Communications System Performance in the Presence of Wideband Noise and Co-Channel Interference. Storming Media, 1998.

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National Aeronautics and Space Administration (NASA) Staff. Modeling C-Band Co-Channel Interference from Aeromacs Omni-Directional Antennas to Mobile Satellite Service Feeder Uplinks. Independently Published, 2019.

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Time Domain Simulation of MFSK Communications System Performance in the Presence of Wideband Noise and Co-Channel Interference. Storming Media, 1998.

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Book chapters on the topic "Co-channel interference"

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Stüber, Gordon L. "Co-Channel Interference." In Principles of Mobile Communication, 115–41. Boston, MA: Springer US, 1996. http://dx.doi.org/10.1007/978-1-4757-6268-6_3.

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Stüber, Gordon L. "Co-Channel Interference." In Principles of Mobile Communication, 147–64. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-55615-4_3.

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Stüber, Gordon L. "Co-channel Interference." In Principles of Mobile Communication, 165–88. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4614-0364-7_3.

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Lan, Lina, Xuerong Gou, and Wenyuan Ke. "A New Algorithm of GSM Co-Channel and Adjacent Channel Interference Optimization." In Lecture Notes in Electrical Engineering, 435–42. Dordrecht: Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-2169-2_52.

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Kohno, Ryuji. "Spatial and Temporal Filtering for Co-Channel Interference in CDMA." In Code Division Multiple Access Communications, 117–46. Boston, MA: Springer US, 1995. http://dx.doi.org/10.1007/978-1-4615-2251-5_7.

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Kuran, Mehmet Şükrü, and Tuna Tugcu. "Co-Channel Interference for Communication via Diffusion System in Molecular Communication." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 199–212. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-32711-7_19.

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Miao, Xinxin, and Mingchuan Yang. "Co-channel Interference Between Satellite and 5G System in C Band." In Machine Learning and Intelligent Communications, 410–16. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-66785-6_44.

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Pirinen, Pekka. "Sensitivity Analysis of Conditional Co-Channel Interference in Cellular FDMA/TDMA Systems." In Multiaccess, Mobility and Teletraffic for Wireless Communications: Volume 3, 171–85. Boston, MA: Springer US, 1999. http://dx.doi.org/10.1007/978-1-4615-5607-7_12.

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Zander, Jens. "Transmitter Power Control for Co-channel Interference Management in Cellular Radio Systems." In Wireless and Mobile Communications, 161–75. Boston, MA: Springer US, 1994. http://dx.doi.org/10.1007/978-1-4615-2716-9_11.

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Minango, Juan, Marcelo Zambrano, and Jorge Caraguay. "Co-channel Interference Mitigation Using Convolutional Enconder via Joint Decoding Viterbi Algorithm." In Innovation and Research - A Driving Force for Socio-Econo-Technological Development, 11–21. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-11438-0_2.

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Conference papers on the topic "Co-channel interference"

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Yu, Yingqun, Jungwon Lee, and Inyup Kang. "Enhanced interference whitening for co-channel interference suppression." In 2013 IEEE Wireless Communications and Networking Conference (WCNC). IEEE, 2013. http://dx.doi.org/10.1109/wcnc.2013.6555056.

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Rahman, Muhammad Imadur, Elisabeth de Carvalho, and Ramjee Prasad. "Impact of MIMO Co-Channel Interference." In 2007 IEEE 18th International Symposium on Personal, Indoor and Mobile Radio Communications. IEEE, 2007. http://dx.doi.org/10.1109/pimrc.2007.4394271.

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Gulati, Kapil, Aditya Chopra, Brian L. Evans, and Keith R. Tinsley. "Statistical Modeling of Co-Channel Interference." In GLOBECOM 2009 - 2009 IEEE Global Telecommunications Conference. IEEE, 2009. http://dx.doi.org/10.1109/glocom.2009.5425480.

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"Unwrapping multiple co-channel interference signals." In 2013 47th Annual Conference on Information Sciences and Systems (CISS 2013). IEEE, 2013. http://dx.doi.org/10.1109/ciss.2013.6624260.

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Liang, Yao-Jen, and Tai-Yu Liu. "Relay assisted interference management in co-channel interference systems." In 2013 IEEE/CIC International Conference on Communications in China - Workshops (CIC/ICCC). IEEE, 2013. http://dx.doi.org/10.1109/iccchinaw.2013.6670565.

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Collins, Travis F., and Alexander M. Wyglinski. "Co-Channel Interference in Future Femtocell Networks." In 2015 IEEE 82nd Vehicular Technology Conference (VTC Fall). IEEE, 2015. http://dx.doi.org/10.1109/vtcfall.2015.7390870.

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Ryu, Kwanwoong, Joon-Young Jung, and Ran-Jae Im. "Co-Channel Interference Cancellation in OFDMA System." In 2020 21st Asia-Pacific Network Operations and Management Symposium (APNOMS). IEEE, 2020. http://dx.doi.org/10.23919/apnoms50412.2020.9237030.

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Minango, Juan, and Celso Almeida. "Co-Channel Interference Effects On Spatial Multiplexing." In XXXI Simpósio Brasileiro de Telecomunicações. Sociedade Brasileira de Telecomunicações, 2013. http://dx.doi.org/10.14209/sbrt.2013.144.

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Ghosh, M. "Co-channel interference cancellation for HDTV receivers." In 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258). IEEE, 1999. http://dx.doi.org/10.1109/icassp.1999.761248.

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Khwandah, Sinan A., and John P. Cosmas. "Interference management in LTE co-channel femtocells." In 2014 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB). IEEE, 2014. http://dx.doi.org/10.1109/bmsb.2014.6873516.

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Reports on the topic "Co-channel interference"

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Zissman, M. A., IV Seward, and D. C. Two-Talker Pitch Tracking for Co-Channel Talker Interference Suppression. Fort Belvoir, VA: Defense Technical Information Center, April 1992. http://dx.doi.org/10.21236/ada253418.

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Liu, Xiangqian. Co-channel Interference Mitigation for Robust Coexistence of Frequency Hopped Networks. Fort Belvoir, VA: Defense Technical Information Center, September 2006. http://dx.doi.org/10.21236/ada482118.

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