Relevant bibliographies by topics / Channel assignment

Academic literature on the topic 'Channel assignment'

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Published: 4 June 2021
Last updated: 29 January 2023

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Journal articles on the topic "Channel assignment"

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Zakaria, Omar M., Aisha-Hassan A. Hashim, Wan H. Hassan, Othman O. Khalifa, M. Azram, Lalitha B. Jivanadham, Mistura L. Sanni, and Mahdi Zareei. "Joint Channel Assignment and Routing in Multiradio Multichannel Wireless Mesh Networks: Design Considerations and Approaches." Journal of Computer Networks and Communications 2016 (2016): 1–24. http://dx.doi.org/10.1155/2016/2769685.

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Multiradio wireless mesh network is a promising architecture that improves the network capacity by exploiting multiple radio channels concurrently. Channel assignment and routing are underlying challenges in multiradio architectures since both determine the traffic distribution over links and channels. The interdependency between channel assignments and routing promotes toward the joint solutions for efficient configurations. This paper presents an in-depth review of the joint approaches of channel assignment and routing in multiradio wireless mesh networks. First, the key design issues, modeling, and approaches are identified and discussed. Second, existing algorithms for joint channel assignment and routing are presented and classified based on the channel assignment types. Furthermore, the set of reconfiguration algorithms to adapt the network traffic dynamics is also discussed. Finally, the paper presents some multiradio practical implementations and test-beds and points out the future research directions.
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BEIGY, HAMID, and M. R. MEYBODI. "CELLULAR LEARNING AUTOMATA BASED DYNAMIC CHANNEL ASSIGNMENT ALGORITHMS." International Journal of Computational Intelligence and Applications 08, no. 03 (September 2009): 287–314. http://dx.doi.org/10.1142/s1469026809002618.

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A solution to channel assignment problem in cellular networks is self-organizing channel assignment algorithm with distributed control. In this paper, we propose three cellular learning automata based dynamic channel assignment algorithms. In the first two algorithms, no information about the status of channels in the whole network will be used by cells for channel assignment whereas in the third algorithm, the additional information regarding status of channels may be gathered and then used by cells in order to allocate channels. The simulation results show that by using the proposed channel assignment algorithms the micro-cellular network can self-organize itself. The simulation results also show that the additional information used by the third algorithm help the cellular learning automata to find an assignment which results in lower blocking probability of calls for the network.
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Wang, Ji Hong, Wen Xiao Shi, Ke Qiang Cui, and Feng Jin. "Partially Overlapped Channel Assignment Using Discrete Particle Swarm Optimization." Applied Mechanics and Materials 614 (September 2014): 550–53. http://dx.doi.org/10.4028/www.scientific.net/amm.614.550.

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Wireless mesh networks are multi-hop wireless networks whose capacity decreases very fast due to interference from parallel transmissions on the same channel when using orthogonal channels. In order to further eliminate network interference and improve network capacity, partially overlapped channels are used to perform channel assignment, and a discrete particle swarm optimization (DPSO) based channel assignment algorithm using partially overlapped channels is proposed in this paper. Channel assignment for all links is mapped to position of particle, and DPSO is used to evolve and produce better channel assignment solutions. Simulation results show that network performances can be dramatically improved by properly utilizing partially overlapped channels, for example, the average end-to-end delay and the average packet loss ratio both can be decreased by at least 15 percent, and the network throughput can be improved by 12 percent or more.
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JasmineDavid, D., and V. Jegathesan. "Traffic aware channel assignment with node stability in wireless mesh networks." International Journal of Engineering & Technology 7, no. 4.20 (November 28, 2018): 8. http://dx.doi.org/10.14419/ijet.v7i4.20.22112.

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In a wireless network the most challenging issue is Channel assignment. The channel assignment problem is codependent with the routing problem. We need to compute again the channel assignment as and when the traffic pattern changes. Anyways, previously followed channel assignment algorithms will assign channels from scratch. It will end up with an entirely dissimilar configuration of nodes; in turn it will disturb the action of the particular network. It takes little time to create links and to establish new channels. This time is significant in assigning links for wireless networks. This leads to channel reassignment. This algorithm considers the existing channel assignment and tries to go along with the new stream of traffic flow design in the finest possible way by changing the channel on a restricted number of radios. In order to provide node stability, we used entropy function. In this paper, we demonstrate a channel reallocation algorithm with node permanency and appraise its performance by using NS2. Experimental outcomes show that the node stability can progress the performance of network when compared with the earlier methods.
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Zhong, Sheng. "Optimal Control Channel Selection for Wireless Channel Assignment." Mathematical Problems in Engineering 2012 (2012): 1–5. http://dx.doi.org/10.1155/2012/653523.

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In wireless channel assignment, control channels are often needed for coordination among wireless devices. In this paper, we propose an algorithm for finding the optimal set of control channels given a number of wireless devices and the ranges of channels these devices can access.
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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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Dong, Da Wei, Xiao Guo Liu, and Tian Jing. "Channel Assignment Algorithm in Centralized WLAN." Applied Mechanics and Materials 721 (December 2014): 728–31. http://dx.doi.org/10.4028/www.scientific.net/amm.721.728.

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To reduce the number of inter-disturb access points and the interference among access points in same channel, with research on interference issus and channel assignment algorithms of wireless local area network, a scheme suitable for centralized wireless local area network was proposed aiming to minimize the total interference among access points, which comprehensively considerate the number of neighbor and the received power. And then the algorithm with cases was simulated and analyzed, the result of NS2 simulation indicated that the algorithm was simple, effective and feasible, which could realize dynamic adjustment to the wireless LAN RF channel and had a better load balance effect among non-overlapping channels.
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Ma, Gary H. K., and Albert Y. Zomaya. "An Efficient Algorithm for Solving the Minimum Blocking Frequency Assignment Problem Using Channel Reassignment." Journal of Interconnection Networks 04, no. 02 (June 2003): 227–45. http://dx.doi.org/10.1142/s0219265903000842.

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The channel allocation problem (CAP) that involves the allocation a disjoint set of channels to meet the call demands for a cellular network is an NP-complete combinatorial optimisation problem [1]. The CAP can be viewed as: static (during the initial design/planning of the cellular network) and dynamic (when the network is operational). This paper presents a new algorithm designed to solve the online call control problem. This algorithm is a modified version of the maximum channel packing channel allocation (MCPCA) scheme, proposed by [19]. The original MCPCA scheme aims at maximising the reuse of channels (i.e. dense packing) and simulation results showed that it is more efficient than fixed channel assignment (FCA) or borrowing channel assignment (BCA) schemes for solving the class of minimum blocking frequency assignment problem (MB-FAP) [2]. The new algorithm, entitled maximum channel packing channel assignment with re-assignment (MCPCA-RA), takes the dense packing mechanism further by allowing a neighbouring cell to re-assigns a channel to an existing call and releases the channel previously used to the new request. Simulation results that the number of blocked calls is reduced by an average of 6% compared to the original MCPCA scheme, but at the cost of extra computations due to the reassignment mechanism. Since the reassignment computations only involve cells in the local neighbourhood and can be compute in a parallel manner, MCPCA-RA algorithm is practical and efficient in real-time.
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Cai, Y., and D. F. Wong. "Optimal channel pin assignment." IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 10, no. 11 (1991): 1413–24. http://dx.doi.org/10.1109/43.97620.

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Jones, B. C., and D. J. Skellern. "HIPERLAN channel assignment strategies." Electronics Letters 33, no. 13 (1997): 1116. http://dx.doi.org/10.1049/el:19970767.

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Dissertations / Theses on the topic "Channel assignment"

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Shepherd, Mark. "Radio channel assignment." Thesis, University of Oxford, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.288047.

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Gerke, Stefanie. "Weighted colouring and channel assignment." Thesis, University of Oxford, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.325977.

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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 static and centralized channel assignment scheme CCAS to show the effectiveness of the hypothesis. The cluster-based approach of CCAS minimizes non-coordinated interference with reduced complexity. CCAS improves the network throughput by upto 80%, compared to the existing schemes. We propose topology control scheme MATS that constructs low interference multipath network topology using a subset of links from physical topology. We report an additional improvement of upto 10% in the network throughput, when CCAS assigns channels to the links selected by MATS. In the final part of the thesis, we formulate generalized channel assignment as an optimization problem, accounting for real network traffic. The objective of the problem is to select the channels for links such that maximum incident traffic can be transmitted over the links, while ensuring a fair distribution of throughput amongst links and elimination of non-coordinated interference. For a given network and incident traffic, the solution to this problem generates the channel assignment resulting in optimal network throughput. We propose dynamic and distributed scheme LYCAS as an approximate solution to the problem. LYCAS employs MATS to construct network topology and cluster-based approach of CCAS to minimize non-coordinated interference. In addition, it periodically updates the assignment of channels to adapt to the changing traffic load. LYCAS achieves upto 68% of the optimal network throughput and upto 72% of optimal aggregate end-to-end throughput of multi-hop flows. It outperforms the existing schemes by a factor of 2.
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Giortzis, Athanasios. "Channel assignment in mobile radio networks." Thesis, Imperial College London, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.266017.

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Chong, Peter H. J. "Channel assignment schemes in cellular communication systems." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape4/PQDD_0018/NQ56660.pdf.

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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 802.11s introduces new inter-working, routing and wireless frame forwarding at the link layer, the multi channel architecture receives less attention due to many unsolved challenges that arises while mesh service set works over multiple frequencies. This research work tries to give a solution to the needs of designing an efficient channel assignment mechanism. As a result we have proposed a new static channel assignment based on the fact that not all wireless links are practically useful. Our mechanism prunes the network topology by removing weak wireless links and improves the network performance by reaching a more diverse channel-radio assignation solution. Toward designing a distributed channel assignment we propose a new game theory based formulation of channel assignment which is applicable to a realistic scenario with imperfect information at each router. We have proposed a distributed and hybrid channel assignment protocol based on the game formulation. The proposed channel assignment makes wireless router to be able to follow the unpredictable changes in the wireless environment. We also investigated the types of channel assignment protocols which can be adapted to the IEEE 802.11s based mesh network and improve the network good-put in terms of data delivery ratio and end-to-end delay.
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Chiu, Hon-sun, and 邵漢新. "Channel assignment and routing in multi-channel multi-interface wireless networks." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2009. http://hub.hku.hk/bib/B42182050.

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Chiu, Hon-sun. "Channel assignment and routing in multi-channel multi-interface wireless networks." Click to view the E-thesis via HKUTO, 2009. http://sunzi.lib.hku.hk/hkuto/record/B42182050.

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Grace, David. "Distributed Dynamic Channel Assignment for the wireless environment." Thesis, University of York, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.288041.

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Du, Peng. "Bandwidth allocation and channel assignment in WiMax mesh networks /." access full-text access abstract and table of contents, 2009. http://libweb.cityu.edu.hk/cgi-bin/ezdb/thesis.pl?phd-cs-b30082547f.pdf.

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Thesis (Ph.D.)--City University of Hong Kong, 2009.
"Submitted to Department of Computer Science in partial fulfillment of the requirements for the degree of Doctor of Philosophy." Includes bibliographical references (leaves 100-108)
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Books on the topic "Channel assignment"

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Canada. Television, assignment of channels: Agreement between the United States of America and Canada, effected by exchange of notes, signed at Washington November 3, 1993 and January 5, 1994 with working arrangement. Washington, D.C: Dept. of State, 1999.

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Canada. Television, assignment of channels: Agreement between the United States of America and Canada, effected by exchange of notes, signed at Washington November 3, 1993 and January 5, 1994 with working arrangement. Washington, D.C: Dept. of State, 1999.

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The leadership assignment: Creating change. Boston: Allyn and Bacon, 2002.

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Lewington, Jennifer. Overdue assignment: Taking responsibility for Canada's schools. Toronto: Wiley, 1993.

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Kofe, Siliga. Integrating climate change coping strategies into government operational plans: Kiribati adaptation project (World Bank and Government of Japan) : progress & end of assignment report, 23 February-7 May 2004. [Kiribati?]: ESCAP/POC, 2004.

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Mexico. Telecommunications, assignment of television channels along United States-Mexican border: Agreement between the United States of America and Mexico, amending the agreement of June 18, 1982, effected by exchange of notes, signed at Washington October 31, 1984 and April 8, 1985. Washington, D.C: Dept. of State, 1992.

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Mexico. Telecommunications, assignment of television channels along United States-Mexico border: Agreement between the United States of America and Mexico, amending the agreement of June 18, 1982, as amended, effected by exchange of notes signed at Washington June 22 and October 19, 1988. Washington, D.C: Dept. of State, 1998.

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

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Krendzel, Andrey, ed. Wireless Mesh Networks - Efficient Link Scheduling, Channel Assignment and Network Planning Strategies. InTech, 2012. http://dx.doi.org/10.5772/2612.

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Efficient massively parallel simulation of dynamic channel assignment schemes for wireless cellular communications. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1994.

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Book chapters on the topic "Channel assignment"

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Stüber, Gordon L. "Channel Assignment Techniques." In Principles of Mobile Communication, 555–96. Boston, MA: Springer US, 1996. http://dx.doi.org/10.1007/978-1-4757-6268-6_11.

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Stüber, Gordon L. "Channel Assignment Techniques." In Principles of Mobile Communication, 643–70. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-55615-4_14.

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Mabed, Hakim, Alexandre Caminada, and Jin-Kao Hao. "Multi-period Channel Assignment." In Personal Wireless Communications, 541–54. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-39867-7_53.

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Bertossi, Alan A., Cristina M. Pinotti, Romea Rizzi, and Anil M. Shende. "Channel Assignment in Honeycomb Networks." In Lecture Notes in Computer Science, 150–62. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-45208-9_13.

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Cherng, Jiun-Horng, Fen-Fen Shueh, and Wen-Shyen Eric Chen. "Throughput Competitiveness of WCDMA Channel Assignment." In Personal Wireless Communications, 426–36. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-39867-7_41.

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Peras, Marko, and Nikola Ivkovic. "Channel Assignment with Ant Colony Optimization." In Communications in Computer and Information Science, 31–42. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-37838-7_4.

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Molloy, Michael, and Mohammad R. Salavatipour. "Frequency Channel Assignment on Planar Networks." In Algorithms — ESA 2002, 736–47. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-45749-6_64.

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Zhu, Junlei, and Yuehua Bu. "Channel Assignment with r-Dynamic Coloring." In Algorithmic Aspects in Information and Management, 36–48. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-04618-7_4.

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McDiarmid, C. "Discrete Mathematics and Radio Channel Assignment." In Recent Advances in Algorithms and Combinatorics, 27–63. New York, NY: Springer New York, 2003. http://dx.doi.org/10.1007/0-387-22444-0_2.

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Olariu, Stephen, James L. Schwing, and Jingyuan Zhang. "An Optimal Parallel Algorithm for Channel-Assignment." In CAD/CAM Robotics and Factories of the Future ’90, 203–15. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-58214-1_30.

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Conference papers on the topic "Channel assignment"

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Ali, Husnain Mansoor, Anthony Busson, and Véronique Vèque. "Channel assignment algorithms." In the 4th ACM workshop. New York, New York, USA: ACM Press, 2009. http://dx.doi.org/10.1145/1641913.1641931.

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Juraschek, Felix, and Mesut Gunes. "External interference-aware channel assignment." In 2013 9th International Wireless Communications and Mobile Computing Conference (IWCMC 2013). IEEE, 2013. http://dx.doi.org/10.1109/iwcmc.2013.6583744.

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Matsumura, Yuki, Shinya Kumagai, Tatsunori Obara, Tetsuya Yamamoto, and Fumiyuki Adachi. "Channel segregation based dynamic channel assignment for WLAN." In 2012 IEEE International Conference on Communication Systems (ICCS). IEEE, 2012. http://dx.doi.org/10.1109/iccs.2012.6406191.

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Zhou, Haiyan, and Chao Liu. "WLAN Channel Assignment Based on Channel Overlap Factor." In 2012 Second International Conference on Instrumentation, Measurement, Computer, Communication and Control (IMCCC). IEEE, 2012. http://dx.doi.org/10.1109/imccc.2012.63.

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Yong hyu, Jiwoong Jeong, and Chong-kwon Kim. "Adjacent channel interference aware channel assignment scheme for WLANs." In 2010 Second International Conference on Ubiquitous and Future Networks (ICUFN). IEEE, 2010. http://dx.doi.org/10.1109/icufn.2010.5547197.

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Dutta, Abhinanda, and Steven Weber. "Random access channel assignment on a collision erasure channel." In 2020 Information Theory and Applications Workshop (ITA). IEEE, 2020. http://dx.doi.org/10.1109/ita50056.2020.9244960.

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Hsien-Ming Tsai, Ai-Chun Pang, Yung-Chun Lin, and Yi-Bing Lin. "Channel assignment for hierarchical cellular networks." In 2003 International Conference on Parallel Processing, 2003. Proceedings. IEEE, 2003. http://dx.doi.org/10.1109/icpp.2003.1240627.

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Le Bris, L., and W. Robion. "Dynamic channel assignment in GSM networks." In Gateway to 21st Century Communications Village. VTC 1999-Fall. IEEE VTS 50th Vehicular Technology Conference (Cat. No.99CH36324). IEEE, 1999. http://dx.doi.org/10.1109/vetecf.1999.797356.

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Ponte, Francisco R. P. da, Kilvia L. A. de Almeida, Rafael L. Gomes, Joaquim Celestino, Walisson F. Pereira, and Nelson L. S. da Fonseca. "Wireless Channel Assignment in Smart Home." In 2018 IEEE Symposium on Computers and Communications (ISCC). IEEE, 2018. http://dx.doi.org/10.1109/iscc.2018.8538545.

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Chih-Cheng Hsu, Yi-An Liang, Jose Luis Garcia Gomez, Cheng-Fu Chou, and Ching-Ju Lin. "Distributed flexible channel assignment in WLANs." In 2013 IEEE Wireless Communications and Networking Conference (WCNC). IEEE, 2013. http://dx.doi.org/10.1109/wcnc.2013.6554613.

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Reports on the topic "Channel assignment"

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Bhandari, Vartika, and Nitin H. Vaidya. Capacity of Multi-Channel Wireless Networks with Random Channel Assignment: A Tight Bound. Fort Belvoir, VA: Defense Technical Information Center, October 2006. http://dx.doi.org/10.21236/ada495206.

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Bhandari, Vartika, and Nitin H. Vaidya. Capacity of Multi-Channel Wireless Networks with Random (c,f) Assignment. Fort Belvoir, VA: Defense Technical Information Center, June 2007. http://dx.doi.org/10.21236/ada486638.

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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. Fort Belvoir, VA: Defense Technical Information Center, November 2010. http://dx.doi.org/10.21236/ada555031.

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Elacqua, Gregory, Isabel Jacas, Thomas Krussig, Carolina Méndez, and Christopher Neilson. The Welfare Effects of including Household Preferences in School Assignment Systems: Evidence from Ecuador. Inter-American Development Bank, November 2022. http://dx.doi.org/10.18235/0004676.

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We study the welfare produced by a coordinated school assignment system that is based exclusively on minimizing distance to schools, comparing the matches it produces to a system that includes household preferences using a deferred acceptance algorithm. We leverage administrative data and a mechanism change implemented in the city of Manta, Ecuador in 2021 to estimate household preferences and show that considering applicant preferences produces large welfare gains. Our counterfactual exercises show that differences across alternative assignment mechanisms are small. Survey data on household beliefs and satisfaction support these conclusions. The evidence indicates that coordinated school choice and assignment systems can have large welfare effects in developing country contexts.
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Bacher-Hicks, Andrew, Thomas Kane, and Douglas Staiger. Validating Teacher Effect Estimates Using Changes in Teacher Assignments in Los Angeles. Cambridge, MA: National Bureau of Economic Research, November 2014. http://dx.doi.org/10.3386/w20657.

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Beuermann, Diether, Nicolas L. Bottan, Bridget Hoffmann, C. Kirabo; Jackson, and Diego A. Vera-Cossio. Does Education Prevent Job Loss during Downturns?: Evidence from Exogenous Schools Assignments and COVID-19 in Barbados. Inter-American Development Bank, September 2021. http://dx.doi.org/10.18235/0003624.

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Canonical human capital theories posit that education, by enhancing worker skills, reduces the likelihood that a worker will be laid off during times of economic change. Yet, this has not been demonstrated causally. We link administrative education records from 1987 through 2002 to nationally representative surveys conducted before and after the onset of COVID-19 in Barbados to explore the causal impact of improved education on job loss during this period. Using a regression discontinuity (RD) design, Beuermann and Jackson (2020) show that females (but not males) who score just above the admission threshold for more selective schools in Barbados attain more years of education than those that scored just below (essentially holding initial ability fixed). Here, in follow-up data, we show that these same females (but not males) are much less likely to have lost a job after the onset of COVID-19. We show that these effects are not driven by sectoral changes, or changes in labor supply. Because employers observe incumbent worker productivity, these patterns are inconsistent with pure education signaling, and they suggest that education enhances worker skill.
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Cerf, V. G. IAB recommended policy on distributing internet identifier assignment and IAB recommended policy change to internet "connected" status. RFC Editor, August 1990. http://dx.doi.org/10.17487/rfc1174.

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Elacqua, Gregory, Anne Sofie Westh Olsen, and Santiago Velez-Ferro. Open configuration options The Market Design Approach to Teacher Assignment: Evidence from Ecuador. Inter-American Development Bank, September 2021. http://dx.doi.org/10.18235/0003824.

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We study the advantages, trade-offs, and challenges of employing a centralized rule to determine the allocation of teachers to schools. Data come from the centralized teacher assignment program in Ecuador, "Quiero ser Maestro," conducted by the Ministry of Education. Notably, in 2019 the program transitioned from a priority based algorithm to a strategy proof mechanism, similar to the change introduced in Boston in 2005 to assign students to schools. Using the reported preferences, we conduct a counterfactual analysis and nd substantive evidence that the adjustment in algorithm resulted in greater efficiency for the school system. However, in contrast to the Boston case, we nd the benefits stem from increasing the competition for positions among teachers, rather than by the introduction of a strategy-proof mechanism.
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Gehlhaus, Diana, Ron Hodge, Luke Koslosky, Kayla Goode, and Jonathan Rotner. The DOD’s Hidden Artificial Intelligence Workforce: Leveraging AI Talent at the U.S. Department of Defense. Center for Security and Emerging Technology, September 2021. http://dx.doi.org/10.51593/20210013.

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This policy brief, authored in collaboration with the MITRE Corporation, provides a new perspective on the U.S. Department of Defense’s struggle to recruit and retain artificial intelligence talent. The authors find that the DOD already has a cadre of AI and related experts, but that this talent remains hidden. Better leveraging this talent could go a long way in meeting the DOD’s AI objectives. The authors argue that this can be done through policies that more effectively identify AI talent and assignment opportunities, processes that incentivize experimentation and changes in career paths, and investing in the necessary technological infrastructure.
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Arif, Sirojuddin, Rezanti Putri Pramana, Niken Rarasati, and Destina Wahyu Winarti. Nurturing Learning Culture among Teachers: Demand-Driven Teacher Professional Development and the Development of Teacher Learning Culture in Jakarta, Indonesia. Research on Improving Systems of Education (RISE), November 2022. http://dx.doi.org/10.35489/bsg-risewp_2022/117.

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Despite the growing attention to the importance of learning culture among teachers in enhancing teaching quality, we lack systematic knowledge about how to build such a culture. Can demand-driven teacher professional development (TPD) enhance learning culture among teachers? To answer the question, we assess the implementation of the TPD reform in Jakarta, Indonesia. The province has a prolonged history of a top-down TPD system. The top-down system, where teachers can only participate in training based on assignment, has detached TPD activities from school ecosystems. Principals and teachers have no autonomy to initiate TPD activities based on the need to improve learning outcomes in their schools. This study observes changes in individual teachers related to TPD activities triggered by the reform. However, the magnitude of the changes varies depending on teachers’ skills, motivation, and leadership style. The study suggests that shifting a TPD system from top-down to bottom-up requires differentiated assistance catered to the school leaders’ and teachers’ capabilities.
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