Relevant bibliographies by topics / Wireless Radio Channel

Contents

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

Academic literature on the topic 'Wireless Radio Channel'

Author: Grafiati
Published: 23 June 2021
Last updated: 29 July 2025

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Journal articles on the topic "Wireless Radio Channel"

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D., Jasmine David, Jegathesan V., and Jemima Jebaseeli T. "Distributed optimal congestion control and channel assignment in wireless mesh networks." TELKOMNIKA Telecommunication, Computing, Electronics and Control 19, no. 2 (2021): pp. 414~420. https://doi.org/10.12928/TELKOMNIKA.v19i2.16135.

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Wireless mesh networks have numerous advantages in terms of connectivity as well as reliability. Traditionally the nodes in wireless mesh networks are equipped with single radio, but the limitations are lower throughput and limited use of the available wireless channel. In order to overcome this, the recent advances in wireless mesh networks are based on multi-channel multi radio approach. Channel assignment is a technique that selects the best channel for a node or to the entire network just to increase the network capacity. To maximize the throughput and the capacity of the network, multiple
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Dai, Yuan-Kao, Li-Hsing Yen, and Jia-Wei Su. "Toward an Access Infrastructure for Mobile Cloud." International Journal of Grid and High Performance Computing 5, no. 3 (2013): 6–19. http://dx.doi.org/10.4018/jghpc.2013070102.

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The provision of mobile cloud service calls for a wireless access infrastructure that offers high bandwidth to mobile users. Among all enabling technologies, wireless mesh networks (WMNs) have the advantage of low deployment cost and widely available user equipments. To provide more bandwidth, access points in WMNs are commonly equipped with multiple wireless interfaces (radios) that can operate on multiple non-overlapping channels in parallel. The objective of channel assignments in a multi-channel, multi-radio MWN is to reduce co-channel interference experienced by links so as to increase ne
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Yevseiev, Serhii, Stanislav Milevskyi, Vladyslav Sokol, et al. "Development of functionality principles for the automated data transmission system through wireless communication channels to ensure information protection." Eastern-European Journal of Enterprise Technologies 4, no. 9 (130) (2024): 18–33. http://dx.doi.org/10.15587/1729-4061.2024.310547.

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The development of data transmission systems based on wireless radio communication channels allowed the construction of fundamentally new networks – mesh networks, which are used not only in smart technologies, but are the basis for the construction of cyber-physical and socio-cyber-physical systems (objects of critical infrastructure). The object is the process of ensuring reliable and secure data transmission based on the use of wireless radio communication channels. A mathematical model of information resources protection system functioning is proposed to ensure the signs of immunity and se
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Javornik, Tomaž, Andrej Hrovat, and Aleš Švigelj. "Radio Technologies for Environment-Aware Wireless Communications." WSEAS TRANSACTIONS ON COMMUNICATIONS 21 (December 31, 2022): 250–66. http://dx.doi.org/10.37394/23204.2022.21.30.

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The contemporary wireless transmitter in addition to information symbols transmits also training symbols in order to help the receivers in the estimation of the information symbols by estimating the channel state information (CSI). In this paper, we look at existing wireless communication technologies in light of environment-aware wireless communications, which is a new concept of wireless communications that queries the time-invariant CSI from the local or global database, using information about the transmitter and receiver location. Thus, this study is the first critical review of the poten
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Billal, Miah, Mohiuddin Nazmul Md., Shaima Shumaiya, and Mohammod Abul Kashem Dr. "An Efficient Neighbor Discovery Approach using HTTA Sequence Based Channel Rendezvous in CRN." International Journal of Innovative Science and Research Technology 8, no. 3 (2023): 20–30. https://doi.org/10.5281/zenodo.7716678.

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Cognitive Radio Network (CRN) is an intelligent radio that can be programmed and configured dynamically, Cognitive radio (CR) is a new emerging and challenging research area to improve spectral efficiency of wireless communication. A cognitive radio wireless sensor network is one of the postulant areas where cognitive techniques can be used for opportunistic spectrum access. Cognitive radio is a form of wireless communication in which a transceiver can intelligently detect which communication channels are in use and which are not, and instantly move into vacant channels while avoiding occupied
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Ning, Zhao Long, Yu Huai Peng, and Lei Guo. "Performance Comparison for Routing Protocols in Multi-Radio Multi-Channel Multi-Hop Wireless Networks." Advanced Materials Research 433-440 (January 2012): 5107–12. http://dx.doi.org/10.4028/www.scientific.net/amr.433-440.5107.

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In this paper, we consider a TDMA-based wireless network and address two major issues, fading and interference, existing in wireless networks since fading will lead to low quality links and interference may lead to unfair channel allocation. Because channel allocation selects the proper channel for each logical link and routing determines through which logical links the packets should be forwarded, there is strong interaction between MAC layer and network layer. In this paper, we seek for the performance trend with more channels allocated and further compare the performances of Bellman-Ford an
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Mi, Hang, Bo Ai, Ruisi He, et al. "Multi-Scenario Millimeter Wave Channel Measurements and Characteristic Analysis in Smart Warehouse at 28 GHz." Electronics 12, no. 15 (2023): 3373. http://dx.doi.org/10.3390/electronics12153373.

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Smart warehouses are revolutionizing traditional logistics operations by incorporating advanced technologies such as Internet of Things, robotics, and artificial intelligence. In these complex and dynamic environments, control and operation instructions need to be transmitted through wireless networks. Therefore, wireless communication plays a crucial role in enabling efficient and reliable operations. Meanwhile, channel measurements and modeling in smart warehouse scenarios are essential for understanding and optimizing wireless communication performance. By accurately characterizing radio ch
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A. Rida, Jafaar Fahad. "Improvement for performance radio frequency in wireless communication based on impulse signal." Indonesian Journal of Electrical Engineering and Computer Science 18, no. 2 (2020): 903. http://dx.doi.org/10.11591/ijeecs.v18.i2.pp903-916.

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<p><span>This research presents the improved performance of mobile wireless communication channel is based on non-line of sight because the mobile propagation channel is very hard to work with direct path between the transmitter and mobile receiver because of city-based area has objects such as rise building, trees, surround structures, and other objects. The mobile wireless spread radio channels have radio propagation mechanisms as a reflection, diffraction, and scattering effect on radio signal as lessening, </span>and distortion or spread time. The most important thing to
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Jafaar, Fahad A. Rida. "Improvement for performance radio frequency in wireless communication based on impulse signal." Indonesian Journal of Electrical Engineering and Computer Science (IJEECS) 18, no. 2 (2020): 903–16. https://doi.org/10.11591/ijeecs.v18.i2.pp903-916.

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This research presents the improved performance of mobile wireless communication channel is based on non-line of sight because the mobile propagation channel is very hard to work with direct path between the transmitter and mobile receiver because of city-based area has objects such as rise building, trees, surround structures, and other objects. The mobile wireless spread radio channels have radio propagation mechanisms as a reflection, diffraction, and scattering effect on radio signal as lessening, and distortion or spread time. The most important thing to make real is that the wireless cha
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Vinod, Kimbahune. "AUTONOMOUSLY-RECONFIGURABLE WIRELESS MESH NETWORKS." IJIERT - International Journal of Innovations in Engineering Research and Technology 3, no. 6 (2016): 16–20. https://doi.org/10.5281/zenodo.1463672.

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<strong>Multi - hop wireless mesh network experience link - failure due to channel interference,dynamic obstacles etc. which causes performance degradation of the network in Wireless Mesh Networks. The paper proposes �Autonomously Reconfigurable Wireless Mesh Networks system based upon IEEE 802.11� form r - WMN to recover autonomously in case the network failure occurs,to improve the network performance. The paper presents an autonomously network reconfiguration system (ARS) that allows amultiradio WMN to self - recover from local link failure to maintain network performance. By using channels
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Dissertations / Theses on the topic "Wireless Radio Channel"

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Hunter, Brandon Rosel. "Channel probing for an indoor wireless communications channel /." Diss., CLICK HERE for online access, 2003. http://contentdm.lib.byu.edu/ETD/image/etd196.pdf.

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Naveed, Anjum Computer Science &amp Engineering Faculty of Engineering UNSW. "Channel assignment in multi-radio multi-channel wireless mesh networks." Awarded by:University of New South Wales. Computer Science & Engineering, 2008. http://handle.unsw.edu.au/1959.4/41500.

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Channel assignment in wireless mesh network (WMN) aims at improving the network throughput by utilizing multiple orthogonal frequency channels to minimize the interference. Interference can be categorized as coordinated and non-coordinated, depending upon the relative location of the interfering links. Compared to coordinated interference, non-coordinated interference has a severe adverse impact on throughput. This thesis is based on the hypothesis that the network throughput can be improved significantly, if channel assignment minimizes non-coordinated interference with priority. We propose a
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Amiri, Nehzad Maryam. "Channel assignment protocols for multi-radio multi-channel wireless mesh netwworks." Doctoral thesis, Universitat Politècnica de Catalunya, 2013. http://hdl.handle.net/10803/104156.

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The increasing demand for large and low cost wireless coverage, ranging from campus to city wide areas, has motivated a high interest in multi-hop communications with Wireless Mesh Networks (WMN) based on IEEE 802.11s as the most recent and significant standard. Channel Assignment (CA) is mechanism which selects the best channels for an individual wireless node or the entire network aiming to increase the capacity of the network. Channel assignment has been extensively researched for multi-radio WMNs, but it is still very challenging when it comes to its implementation. Although IEEE 80
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Xing, Zitong. "A dynamic radio channel allocation scheme for WLANs." Diss., Online access via UMI:, 2005.

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Al-Wajeeh, Taha. "Efficient radio channel modeling for urban wireless sensors networks." Thesis, Poitiers, 2018. http://www.theses.fr/2018POIT2314.

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Le canal de propagation est un élément important pour la fiabilité des simulations et la conception des systèmes sans fil. Les modèles déterministes offrent un bon niveau de précision au prix d'une complexité croissante de calcul, ce qui les rend prohibitifs pour les simulateurs de réseaux de capteurs sans fil (RdC) car ils impliquent de nombreux nœuds distribués à l'échelle d’une ville. Dans ce contexte, l'objectif de cette thèse est de proposer des méthodes déterministes rapides et précises pour modéliser le comportement des ondes électromagnétiques en garantissant le juste compromis entre l
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Sng, Sin Hie. "Radio channel modeling for mobile ad hoc wireless networks." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2004. http://library.nps.navy.mil/uhtbin/hyperion/04Jun%5FSng.pdf.

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Thesis (M.S. in Engineering Science (Electrical Engineering))--Naval Postgraduate School, June 2004.<br>Thesis advisor(s): Murali Tummala, Roberto Cristi. Includes bibliographical references (p. 71). Also available online.
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Zoli, Marco <1990&gt. "Radio Channel Characterization for Future Wireless Networks and Applications." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2018. http://amsdottorato.unibo.it/8531/1/main.pdf.

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The new frontier of Above-6GHz bands is revolutionizing the field of wireless telecommunications, requiring new radio channel models to support the development of future Giga-bit-per-second systems. Recently, deterministic ray-based models as Ray Tracing are catching on worldwide thanks to their frequency-agility and reliable predictions. A modern 3D Ray Tracing developed at University of Bologna has been indeed calibrated and used to investigate the Above-6GHz radio channel properties. As starting point, an item-level electromagnetic characterization of common items and materials has b
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Randle, Andrew Martin. "Dynamic radio channel effects from L-band foliage scatter." Thesis, University of York, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.341630.

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Andreu, Estellés Carlos. "UWB radio channel and diversity characterization for wireless implanted devices." Doctoral thesis, Universitat Politècnica de València, 2018. http://hdl.handle.net/10251/111836.

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Las redes de área corporal permiten la interconexión de nodos independientes situados dentro o fuera de la superficie corporal o, incluso, alejados de dicha superficie. En cuanto a las comunicaciones intracorporales, el establecimiento de un enlace robusto con una cápsula endoscópica o con un marcapasos, son ejemplos de los avances tecnológicos conseguidos en las últimas décadas. A pesar de estos desarrollos en asistencia sanitaria, los estándares actuales para este tipo de comunicaciones no permiten conexiones inalámbricas de alta velocidad de transmisión, las cuales son comunes en los servic
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Yoon, Suk-Un. "Dynamic Radio Resource Allocation in Wireless Sensor and Cognitive Radio Networks." The Ohio State University, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=osu1259768264.

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Books on the topic "Wireless Radio Channel"

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Robert, Leese, and Hurley Stephen, eds. Methods and algorithms for radio channel assignment. Oxford University Press, 2002.

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Parsons, J. D. The mobile radio propagation channel. Pentech Press, 1992.

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Brown, Tim. Practical guide to the MIMO radio channel with MATLAB examples. Wiley, 2012.

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Matthias, Pätzold. Mobile radio channels. 2nd ed. Wiley, 2012.

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1950-, Bullock Scott R., ed. Transceiver and system design for digital communications. 2nd ed. Noble Pub. Corp., 2000.

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N, Fernando, and Perfecto Eira. Modelling the Wireless Propagation Channel. Wiley & Sons, Incorporated, John, 2014.

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Parsons, J. D. Mobile Radio Propagation Channel. Wiley & Sons, Incorporated, John, 2001.

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Radio Channel Modeling for Mobile Ad Hoc Wireless Networks. Storming Media, 2004.

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The mobile radio propagation channel. 2nd ed. J. Wiley, 2000.

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Salous, Sana. Radio Propagation Measurement and Channel Modelling. Wiley & Sons, Incorporated, John, 2013.

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Book chapters on the topic "Wireless Radio Channel"

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Chen, Yingying, Wenyuan Xu, Wade Trappe, and Yanyong Zhang. "Channel Surfing: Defending Wireless Networks against Radio Interference." In Securing Emerging Wireless Systems. Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-88491-2_12.

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Babiker, Jiwayria M. S. D., and Xinlin Huang. "A Survey Channel Estimation for Intelligent Reflecting Surface (IRS)." In Cognitive Radio Oriented Wireless Networks and Wireless Internet. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-98002-3_12.

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Liu, Xin, Guoan Bi, Rui Lin, and Yong Liang Guan. "Optimal Joint Sensing Threshold and Sub-channel Power Allocation in Multi-channel Cognitive Radio." In Wired/Wireless Internet Communication. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38401-1_20.

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Picallo, Imanol, Hicham Klaina, Peio López-Iturri, et al. "Intra-train Wagon Wireless Channel Connectivity Analysis of Ultra Dense Node Deployments." In Cognitive Radio Oriented Wireless Networks and Wireless Internet. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-98002-3_20.

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Jing, Tao, Hongbin Shi, Yan Huo, Liran Ma, and Zhipeng Cai. "A Novel Channel Assignment Scheme for Multi-radio Multi-channel Wireless Mesh Networks." In Wireless Algorithms, Systems, and Applications. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23490-3_24.

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Zhong, Zhang-Dui, Bo Ai, Gang Zhu, et al. "Radio Propagation and Wireless Channel for Railway Communications." In Advances in High-speed Rail Technology. Springer Berlin Heidelberg, 2017. http://dx.doi.org/10.1007/978-3-662-54860-8_3.

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da Costa, Gustavo Wagner Oliveira, Andrea Fabio Cattoni, Preben E. Mogensen, and Luiz A. da Silva. "Dynamic Channel Selection for Cognitive Femtocells." In Cognitive Radio and Networking for Heterogeneous Wireless Networks. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-01718-1_5.

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Horikawa, Izumi, Masahiko Hirono, and Kazushige Tanaka. "Radio Channel Control for A Multi-Carrier TDMA Microcell System." In Third Generation Wireless Information Networks. Springer US, 1992. http://dx.doi.org/10.1007/978-1-4615-4012-0_10.

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Shi, Weijie, Qiang-Sheng Hua, Dongxiao Yu, Yuexuan Wang, and Francis C. M. Lau. "Efficient Information Exchange in Single-Hop Multi-Channel Radio Networks." In Wireless Algorithms, Systems, and Applications. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-31869-6_38.

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Zlobinsky, Natasha, David Johnson, Amit Kumar Mishra, and Albert A. Lysko. "Metaheuristic Optimisation for Radio Interface-Constrained Channel Assignment in a Hybrid Wi-Fi–Dynamic Spectrum Access Wireless Mesh Network." In Cognitive Radio Oriented Wireless Networks and Wireless Internet. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-98002-3_4.

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Conference papers on the topic "Wireless Radio Channel"

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Dakić, Anja, Benjamin Rainer, Markus Hofer, and Thomas Zemen. "Site-Specific Radio Channel Emulation." In 2025 IEEE Wireless Communications and Networking Conference (WCNC). IEEE, 2025. https://doi.org/10.1109/wcnc61545.2025.10978702.

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Almeida, Luís Filipe, Samuel S. Pereira, Arnaldo S. R. Oliveira, and N. B. Carvalho. "Multi-Channel Modular All-Digital Transmitter." In 2025 IEEE Radio and Wireless Symposium (RWS). IEEE, 2025. https://doi.org/10.1109/rws62086.2025.10904990.

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Yoshikawa, Kotaro, Takumi Tanagi, and Koichi Adachi. "Radio Resource Allocation Scheme Considering Future Channel Conditions Based on Radio Environment Map." In 2024 VTS Asia Pacific Wireless Communications Symposium (APWCS). IEEE, 2024. http://dx.doi.org/10.1109/apwcs61586.2024.10679301.

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Wang, Han-Yu, Yan-Ting Wu, Min-Kuan Chang, Feng-Tsun Chien, Wing C. Kwong, and Guu-Chang Yang. "Channel-Hopping Sequences with Flexible Channel Labeling for Cognitive Radio Wireless Networks." In 2025 1st International Conference on Consumer Technology (ICCT-Pacific). IEEE, 2025. https://doi.org/10.1109/icct-pacific63901.2025.11012770.

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Jiao, Lei, Vicent Pla, and Frank Y. Li. "Analysis on channel bonding/aggregation for multi-channel cognitive radio networks." In 2010 European Wireless Conference (EW). IEEE, 2010. http://dx.doi.org/10.1109/ew.2010.5483492.

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Omar, Abbas, and Ali Ramadan Ali. "Adaptive channel characterization for wireless communication." In 2008 IEEE Radio and Wireless Symposium. IEEE, 2008. http://dx.doi.org/10.1109/rws.2008.4463549.

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Ali, A. R., A. A. Ali, and A. S. Omar. "A multistage channel estimation and ICI reduction method for OFDM systems in doubly dispersive channels." In 2006 IEEE Radio and Wireless Symposium. IEEE, 2006. http://dx.doi.org/10.1109/rws.2006.1615085.

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Ma, Liangping, and Chien-Chung Shen. "Optimal channel assignment for multi-channel multi-radio wireless networks." In MILCOM 2008 - 2008 IEEE Military Communications Conference (MILCOM). IEEE, 2008. http://dx.doi.org/10.1109/milcom.2008.4753576.

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Law, K. L. Eddie, and Wing-Chung Hung. "Channel control for multi-radio multi-channel wireless mesh networks." In the 3nd ACM workshop. ACM Press, 2008. http://dx.doi.org/10.1145/1454630.1454654.

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Matolak, David W., Susheel Bokdia Rajendar, and Qian Zhang. "Modeling wireless channel delay spread trends." In 2009 IEEE Radio and Wireless Symposium (RWS). IEEE, 2009. http://dx.doi.org/10.1109/rws.2009.4957341.

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Reports on the topic "Wireless Radio Channel"

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Bhandari, Vartika, and Nitin H. Vaidya. Channel and Interface Management in a Heterogeneous Multi-Channel Multi-Radio Wireless Network. Defense Technical Information Center, 2009. http://dx.doi.org/10.21236/ada555113.

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Wu, Fan, Vijay Raman, and Nitin Vaidya. A Channel Assignment Algorithm for Opportunistic Routing in Multichannel, Multi-Radio Wireless Mesh Networks. Defense Technical Information Center, 2010. http://dx.doi.org/10.21236/ada555031.

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