Relevant bibliographies by topics / Distributed antennas; Dynamic channel allocation

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Distributed antennas; Dynamic channel allocation'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Distributed antennas; Dynamic channel allocation"

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Kahol, Anurag, Sumit Khurana, Sandeep K. S. Gupta, and Pradip K. Srimani. "Adaptive Distributed Dynamic Channel Allocation for Wireless Networks." Journal of Parallel and Distributed Computing 61, no. 7 (2001): 898–914. http://dx.doi.org/10.1006/jpdc.2000.1719.

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Blogh, J. S., P. J. Cherriman, and L. Hanzo. "Dynamic channel allocation techniques using adaptive modulation and adaptive antennas." IEEE Journal on Selected Areas in Communications 19, no. 2 (2001): 312–21. http://dx.doi.org/10.1109/49.914509.

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Prakash, R., N. G. Shivaratri, and M. Singhal. "Distributed dynamic fault-tolerant channel allocation for cellular networks." IEEE Transactions on Vehicular Technology 48, no. 6 (1999): 1874–88. http://dx.doi.org/10.1109/25.806780.

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Jianping Jiang, Ten-Hwang Lai, and N. Soundarajan. "On distributed dynamic channel allocation in mobile cellular networks." IEEE Transactions on Parallel and Distributed Systems 13, no. 10 (2002): 1024–37. http://dx.doi.org/10.1109/tpds.2002.1041879.

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Al-Bahadili, Hussein, and Arafat Abu Mallouh. "A Distributed Dynamic Channel Allocation Scheme in Cellular Communication Networks." Journal of Information Technology Research 2, no. 1 (2009): 53–69. http://dx.doi.org/10.4018/jitr.2009010104.

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Ansari, Abdul Quaiyum, Premchand Saxena, and Koyel Datta Gupta. "Token based distributed dynamic channel allocation in wireless communication network." CSI Transactions on ICT 2, no. 2 (2014): 109–16. http://dx.doi.org/10.1007/s40012-014-0051-7.

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Huang, Tingxue, Azzedine Boukerche, Kaouther Abrougui, and Jeff Williams. "An efficient distributed fault-tolerant protocol for dynamic channel allocation." Wireless Communications and Mobile Computing 8, no. 3 (2008): 279–94. http://dx.doi.org/10.1002/wcm.577.

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I, Chih Lin. "Distributed dynamic channel allocation algorithms in microcells under light traffic loading." Wireless Personal Communications 1, no. 3 (1994): 155–63. http://dx.doi.org/10.1007/bf01099771.

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Wang, Ju, and Jonathan Liu. "Interference Minimization and Dynamic Sub-Carrier Allocation in Broadband Wireless Networks." International Journal of Wireless Networks and Broadband Technologies 3, no. 3 (2014): 1–15. http://dx.doi.org/10.4018/ijwnbt.2014070101.

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Efficient channel allocation is the key to fully exploit the signal diversity presented in the multi-carrier physical link in today's broadband wireless access networks. There are mounting evidences that the 4G and future-generation systems will take advantage of two opposite types of access methods, one using centralized control method and the other using a distributed approach. The authors study the distributed channel allocation problem in this article, formulated as a non-linear optimization problem, in broadband wireless networks. The signal properties of the multi-carrier radio interface
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Cimini, L. J., G. J. Foschini, Chih-Lin I, and Z. Miljanic. "Call blocking performance of distributed algorithms for dynamic channel allocation in microcells." IEEE Transactions on Communications 42, no. 8 (1994): 2600–2607. http://dx.doi.org/10.1109/26.310620.

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Dissertations / Theses on the topic "Distributed antennas; Dynamic channel allocation"

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Fiacco, Mauro. "Intelligent picocells for adaptive indoor coverage and capacity." Thesis, University of Surrey, 2001. http://epubs.surrey.ac.uk/844492/.

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This dissertation presents and develops the Intelligent Picocell as a solution for high bit rate, efficient bandwidth indoor wireless communication. The research has examined different aspects of the indoor radio propagation environment and system implementation in order to highlight key benefits of the proposed architecture. Explosive growth in demand for indoor wireless communications motivates research into this novel radio architecture. The architecture should be capable of tailoring capacity and coverage to the needs of the specific indoor environment, while maximising spectral efficiency
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Hong, SungBum. "Solutions for Dynamic Channel Assignment and Synchronization Problem for Distributed Wireless Multimedia System." Thesis, University of North Texas, 2002. https://digital.library.unt.edu/ark:/67531/metadc3249/.

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The recent advances in mobile computing and distributed multimedia systems allow mobile hosts (clients) to access wireless multimedia Data at anywhere and at anytime. In accessing multimedia information on the distributed multimedia servers from wireless personal communication service systems, a channel assignment problem and synchronization problems should be solved efficiently. Recent demand for mobile telephone service have been growing rapidly while the electro-magnetic spectrum of frequencies allocated for this purpose remain limited. Any solution to the channel assignment problem is subj
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El-Nainay, Mustafa Y. "Island Genetic Algorithm-based Cognitive Networks." Diss., Virginia Tech, 2009. http://hdl.handle.net/10919/28297.

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The heterogeneity and complexity of modern communication networks demands coupling network nodes with intelligence to perceive and adapt to different network conditions autonomously. Cognitive Networking is an emerging networking research area that aims to achieve this goal by applying distributed reasoning and learning across the protocol stack and throughout the network. Various cognitive node and cognitive network architectures with different levels of maturity have been proposed in the literature. All of them adopt the idea of coupling network devices with sensors to sense network conditio
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Friend, Daniel. "Cognitive Networks: Foundations to Applications." Diss., Virginia Tech, 2009. http://hdl.handle.net/10919/26449.

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Fueled by the rapid advancement in digital and wireless technologies, the ever-increasing capabilities of wireless devices have placed upon us a tremendous challenge - how to put all of this capability to effective use. Individually, wireless devices have outpaced the ability of users to optimally configure them. Collectively, the complexity is far more daunting. Research in cognitive networks seeks to provide a solution to the diffculty of effectively using the expanding capabilities of wireless networks by embedding greater degrees of intelligence within the network itself. In this dissertat
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Yu, Yi. "Radio Resource Planning in Low Power Wide Area IoT Networks." Electronic Thesis or Diss., Paris, CNAM, 2021. http://www.theses.fr/2021CNAM1287.

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Cette thèse étudie le problème de planification des ressources pour les réseaux IoT longues portées basés sur les technologies NB-IoT et LoRa. Dans les deux cas, on suppose que les capteurs et les collecteurs sont distribués suivant des processus de points de Poisson spatial indépendants marqués par le caractère aléatoire du canal. Pour le NB-IoT, nous élaborons un modèle de dimensionnement statistique qui estime le nombre de ressources radio nécessaires en fonction du délai d’accès toléré, de la densité des nœuds actifs, des collecteurs et de la configuration de l’antenne. Pour le réseau LoRa
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Gibilini, Daniel. "Aplicação de técnicas de inteligência artificial na alocação dinâmica de canais em redes sem fio." Universidade de São Paulo, 2006. http://www.teses.usp.br/teses/disponiveis/3/3141/tde-04092006-154457/.

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Nos últimos anos, as redes de comunicação móveis se tornaram de fundamental importância para a infraestrutura dos sistemas de comunicação. Uma das áreas de maior crescimento é a computação móvel. Realizada através de sinais de rádio, a quantidade de canais disponíveis raramente é suficiente para atender a crescente demanda. Este trabalho apresenta uma solução para a questão da alocação de canais, um tópico desafiador dentro da área de redes móveis. A implementação de alocação dinâmica com uso de técnicas computacionais clássicas melhora a utilização dos recursos disponíveis,mas necessita de aj
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Jose, Jubin. "Source and channel aware resource allocation for wireless networks." Thesis, 2011. http://hdl.handle.net/2152/ETD-UT-2011-08-4015.

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Wireless networks promise ubiquitous communication, and thus facilitate an array of applications that positively impact human life. At a fundamental level, these networks deal with compression and transmission of sources over channels. Thus, accomplishing this task efficiently is the primary challenge shared by these applications. In practice, sources include data and video while channels include interference and relay networks. Hence, effective source and channel aware resource allocation for these scenarios would result in a comprehensive solution applicable to real-world networks. This dis
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Book chapters on the topic "Distributed antennas; Dynamic channel allocation"

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Cimini, L. J., G. J. Foschini, and C. L. I. "Distributed Dynamic Channel Allocation Algorithms for Microcellular Systems." In Wireless Communications. Springer US, 1993. http://dx.doi.org/10.1007/978-1-4615-3144-9_13.

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Borkar, Vivek S., and Joy Kuri. "Optimal Distributed Uplink Channel Allocation: A Constrained MDP Formulation." In Annals of the International Society of Dynamic Games. Birkhäuser Boston, 2010. http://dx.doi.org/10.1007/978-0-8176-8089-3_21.

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Pandian, Jeshuran, Prithvin Murugiah, Narendran Rajagopalan, and C. Mala. "Optimization of Dynamic Channel Allocation Scheme for Cellular Networks Using Genetic Algorithim." In Advances in Parallel Distributed Computing. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24037-9_61.

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Silva, Yuri C. B., Emanuela B. Silva, Tarcisio F. Maciel, Francisco R. P. Cavalcanti, and Leonardo S. Cardoso. "Combined Performance Analysis of Signal Level-Based Dynamic Channel Allocation and Adaptive Antennas." In Service Assurance with Partial and Intermittent Resources. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-27767-5_9.

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Raman, Y. S. V., S. Sri Gowri, and B. Prabhakara Rao. "Performance of Spectral Efficiency and Blocking Probability Using Distributed Dynamic Channel Allocation." In Intelligent Computing, Networking, and Informatics. Springer India, 2014. http://dx.doi.org/10.1007/978-81-322-1665-0_118.

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Al-Bahadili, Hussein, and Arafat Abu Mallouh. "Dynamic Channel Allocation in Cellular Communication Networks." In Utilizing Information Technology Systems Across Disciplines. IGI Global, 2009. http://dx.doi.org/10.4018/978-1-60566-616-7.ch012.

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This chapter presents a description and performance evaluation of an efficient Distributed Artificial Intelligence (DAI) Dynamic Channels Allocation (DCA) scheme. Therefore, it is referred to as DAI-DCA scheme. It can be used for channel allocation in high traffic cellular communication networks (CCNs), such as the global system for mobile communication (GSM). The scheme utilizes a well-known DAI algorithm, namely, the asynchronous weak-commitment (AWC) algorithm, in which a complete solution is established by extensive communication among a group of neighboring collaborative cells forming a pattern, where each cell in the pattern uses a unique set of channels. To minimize communication overhead among cells, a token-based mechanism was introduced. The scheme achieved excellent average allocation efficiencies of over 85% for a number of realistic operation scenarios.
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Al-Bahadili, Hussein, and Arafat Abu Mallouh. "A Distributed Dynamic Channel Allocation Scheme in Cellular Communication Networks." In Networking and Telecommunications. IGI Global, 2010. http://dx.doi.org/10.4018/978-1-60566-986-1.ch106.

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This article presents a description and performance evaluation of an efficient distributed dynamic channels allocation (DDCA) scheme, which can be used for channel allocation in cellular communication networks (CCNs), such as the global system for mobile communication (GSM). The scheme utilizes a well-known distributed artificial intelligence (DAI) algorithm, namely, the asynchronous weak-commitment (AWC) algorithm, in which a complete solution is established by extensive communication among a group of neighbouring collaborative cells forming a pattern, where each cell in the pattern uses a unique set of channels. To minimize communication overhead among cells, a token-based mechanism was introduced. The scheme achieved excellent average allocation efficiencies of over 85% for a number of simulations.
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Kumar Minchula, Vinodh, and Gottapu Sasibhushana Rao. "Performance Analysis of Multiple Antenna Systems with New Capacity Improvement Algorithm for MIMO Based 4G/5G Systems." In Antenna Systems [Working Title]. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.98883.

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For a time varying channel, the channel capacity is determined by the Channel State Information (CSI) or its fading distribution at a transmitter or receiver. If CSI is perfectly known at both the transmitter and receiver, then the transmitter can adapt to its optimal transmission strategy (i.e., optimal antenna selection by power allocation scheme) relative to its instantaneous channel state for capacity enhancement. In the case where the channel information is not available at the transmitter (No CSIT), the transmitted power has to be distributed equally (i.e., uniform power allocation) between the transmitting antennas to improve the channel capacity. The IWFA (Iterative water filling allocation) strategy therefore allocates power to those spatial channels with positive non-zero singular values i.e. good quality channels and discards the lower eigenmodes channels resulting in maximum capacity in MIMO systems for perfect CSIT. In this chapter, the performance analysis of Multi Antenna systems under ICSIT/ICSIR, Perfect CSIT, No CSIT channel conditions have been implemented and a novel adaptive power allocation algorithm (SVD-based IWFAA) is considered to improve the spectral efficiency of next generation wireless MIMO communication (4G–5G). The algorithm considered is more efficient at high noise levels (low SNRs) under Perfect CSIT conditions because the strongest channel eigenmodes are allocated more power.
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Debroy, Saptarshi, and Mainak Chatterjee. "Radio Environment Maps and Its Utility in Resource Management for Dynamic Spectrum Access Networks." In Advances in Wireless Technologies and Telecommunication. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-2023-8.ch002.

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Recent measurements on radio spectrum usage have revealed the abundance of under-utilized bands of spectrum that belong to licensed users. This necessitated the paradigm shift from static to dynamic spectrum access (DSA). Researchers argue that prior knowledge about occupancy of such bands, such as, Radio Environment Maps (REM) can potentially help secondary networks to devise effective strategies to improve utilization. In the chapter, we discuss how different interpolation and statistical techniques are applied to create REMs of a region, i.e., an estimate of primary spectrum usage at any arbitrary location in a secondary DSA network. We demonstrate how such REMs can help in predicting channel performance metrics like channel capacity, spectral efficiency, and secondary network throughput. We show how REMs can help to attain near perfect channel allocation in a centralized secondary network. Finally, we show how the REM can be used to perform multi-channel multi-hop routing in a distributed DSA network.
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Rohling, Hermann. "OFDM Transmission Technique." In Mobile Computing. IGI Global, 2009. http://dx.doi.org/10.4018/978-1-60566-054-7.ch260.

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The orthogonal frequency division multiplexing (OFDM) transmission technique can efficiently deal with multi-path propagation effects especially in broadband radio channels. It also has a high degree of system flexibility in multiple access schemes by combining the conventional TDMA; FDMA; and CDMA approaches with the OFDM modulation procedure; which is especially important in the uplink of a multi-user system. In OFDM-FDMA schemes carrier synchronization and the resulting sub-carrier orthogonality plays an important role to avoid any multiple access interferences (MAI) in the base station receiver. An additional technical challenge in system design is the required amplifier linearity to avoid any non-linear effects caused by a large peak-to-average ratio (PAR) of an OFDM signal. The OFDM transmission technique is used for the time being in some broadcast applications (DVB-T; DAB; DRM) and wireless local loop (WLL) standards (HIPERLAN/2; IEEE 802.11a) but OFDM has not been used so far in cellular communication networks. The general idea of the OFDM scheme is to split the total bandwidth into many narrowband sub-channels which are equidistantly distributed on the frequency axis. The sub-channel spectra overlap each other but the sub-carriers are still orthogonal in the receiver and can therefore be separated by a Fourier transformation. The system flexibility and use of sub-carrier specific adaptive modulation schemes in frequency selective radio channels are some advantages which make the OFDM transmission technique a strong and technically attractive candidate for the next generation of mobile communications. The objective of this chapter is to describe an OFDM-based system concept for the fourth generation (4G) of mobile communications and to discuss all technical details when establishing a cellular network which requires synchronization in time and frequency domain with sufficient accuracy. In this cellular environment a flexible frequency division multiple access scheme based on OFDM-FDMA is developed and a radio resource management (RRM) employing dynamic channel allocation (DCA) techniques is used. A purely decentralized and self-organized synchronization technique using specific test signals and RRM techniques based on co-channel interference (CCI) measurements has been developed and will be described in this chapter.
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Conference papers on the topic "Distributed antennas; Dynamic channel allocation"

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Prakash, Ravi, Niranjan G. Shivaratri, and Mukesh Singhal. "Distributed dynamic channel allocation for mobile computing." In the fourteenth annual ACM symposium. ACM Press, 1995. http://dx.doi.org/10.1145/224964.224970.

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Blogh, J. S., P. J. Cherriman, and L. Hanzo. "Dynamic channel allocation techniques using adaptive modulation and adaptive antennas." 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.1999.797358.

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Lilith, Nimrod, and Kutluyil Dogancay. "Distributed Dynamic Call Admission Control and Channel Allocation Using SARSA." In 2005 Asia-Pacific Conference on Communications. IEEE, 2005. http://dx.doi.org/10.1109/apcc.2005.1554084.

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Goel, Anshuman, Mohd Sheezan, and Mumtaz Ahmed. "Distributed dynamic channel allocation scheme in interference-limited sectored cellular network." In 2014 International Conference on Computing for Sustainable Global Development (INDIACom). IEEE, 2014. http://dx.doi.org/10.1109/indiacom.2014.6828084.

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Gupta, S. K. S., and P. K. Srimani. "Distributed dynamic channel allocation in mobile networks: combining search and update." In 1999 IEEE International Performance, Computing and Communications Conference (Cat. No.99CH36305). IEEE, 1999. http://dx.doi.org/10.1109/pccc.1999.749429.

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Boukerche, Azzedine, Sungbum Hong, and Tom Jacob. "A performance study of a distributed algorithm for dynamic channel allocation." In the 3rd ACM international workshop. ACM Press, 2000. http://dx.doi.org/10.1145/346855.346861.

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Quang Duy La, Yong Huat Chew, Woon Hau Chin, and Boon-Hee Soong. "A game theoretic distributed dynamic channel allocation scheme with transmission option." In MILCOM 2008 - 2008 IEEE Military Communications Conference (MILCOM). IEEE, 2008. http://dx.doi.org/10.1109/milcom.2008.4753455.

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Bublin, Mugdim, Iavor Kambourov, Peter Slanina, et al. "Inter-cell Interference Management by Dynamic Channel Allocation, Scheduling and Smart Antennas." In 2007 16th IST Mobile and Wireless Communications Summit. IEEE, 2007. http://dx.doi.org/10.1109/istmwc.2007.4299095.

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Chen, Jiayuan, Sverrir Olafsson, Yang Yang, and Xuanye Gu. "Joint Distributed Transmit Power Control and Dynamic Channel Allocation for Scalable WLANs." In 2009 IEEE Wireless Communications and Networking Conference. IEEE, 2009. http://dx.doi.org/10.1109/wcnc.2009.4917770.

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Adeogun, Ramoni, Gilberto Berardinelli, Ignacio Rodriguez, and Preben Mogensen. "Distributed Dynamic Channel Allocation in 6G in-X Subnetworks for Industrial Automation." In 2020 IEEE Globecom Workshops (GC Wkshps). IEEE, 2020. http://dx.doi.org/10.1109/gcwkshps50303.2020.9367532.

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