Academic literature on the topic 'Time slot allocation'
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Journal articles on the topic "Time slot allocation"
Letanovská, Mária. "Different Allocation Systems." Transport and Communications 2, no. 1 (2014): 12–15. http://dx.doi.org/10.26552/tac.c.2014.1.4.
Full textWu, Yuhan. "Financial and Economic Sequence Forecasting Based on Time Slot Allocation Algorithm." Security and Communication Networks 2022 (May 16, 2022): 1–13. http://dx.doi.org/10.1155/2022/2340521.
Full textZeng, Bin, Jing Zhang, and Hai Qing Liu. "Optimal Channel Assignment Algorithm for Wireless Networks." Advanced Materials Research 211-212 (February 2011): 993–97. http://dx.doi.org/10.4028/www.scientific.net/amr.211-212.993.
Full textDr. R. Ashok kumar, V. M. Jemin, Dr M. N. Saravana kumar, Dr M. Ayyadurai,. "CONGESTION FREE CHANNEL ALLOCATION FOR HIGH TRAFFIC USING MAC IN WSN." INFORMATION TECHNOLOGY IN INDUSTRY 9, no. 1 (March 18, 2021): 1230–35. http://dx.doi.org/10.17762/itii.v9i1.262.
Full textYu, Xueyong. "5G Wireless Networking Connection and Playback Technology Assist the Low-Latency Propagation of New Media." Journal of Sensors 2021 (November 17, 2021): 1–11. http://dx.doi.org/10.1155/2021/3082280.
Full textGiampouranis, Dimitrios K., Mihalis Golias, Sotirios Theofanis, and Maria Boile. "Berth Allocation at Passenger Terminals Using Auctions." Journal of Marine Science and Engineering 10, no. 8 (July 24, 2022): 1010. http://dx.doi.org/10.3390/jmse10081010.
Full textBai, Hongying, Xiaotong Zhang, Yuxin Liu, and Yingdong Xie. "Resource scheduling based on routing tree and detection matrix for Internet of things." International Journal of Distributed Sensor Networks 17, no. 3 (March 2021): 155014772110038. http://dx.doi.org/10.1177/15501477211003830.
Full textS., Karthikeyan, Hari Seetha, and Manimegalai R. "Efficient Dynamic Resource Allocation in Hadoop Multiclusters for Load- Balancing Problem." Recent Advances in Computer Science and Communications 13, no. 4 (October 19, 2020): 686–93. http://dx.doi.org/10.2174/2213275912666190430161947.
Full textHan, Xiaofeng, Yan Li, and Guodong Liu. "Study on the Optimization and Performance of TDMA Allocation Algorithm in Ships’ Ad Hoc Networks." Polish Maritime Research 25, s2 (August 1, 2018): 170–75. http://dx.doi.org/10.2478/pomr-2018-0089.
Full textRom, Raphael, and Moshe Sidi. "Message Delay Distribution in Generalized Time Division Multiple Access (TDMA)." Probability in the Engineering and Informational Sciences 4, no. 2 (April 1990): 187–202. http://dx.doi.org/10.1017/s0269964800001546.
Full textDissertations / Theses on the topic "Time slot allocation"
Månsson, Jonas. "Principles for Channel Allocation in GSM." Thesis, Linköping University, Department of Electrical Engineering, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-10697.
Full textIn today's GSM system there is a complex resource situation when it comes to the scarce TDMA channels in the air interface, the time slots. There are both voice call services that use one or a half time slot and there are packet data users, that may share time slots with other packet data users, and they can use multiple channels at the same time. Allocating time to users is a crucial part in the system and it may affect the performance for the end user substantially.
In the future there may be more types of services than just voice and packet data and that these services may have specific demands on their channels, time slots. That means they would not be able to use just any of the available channels. The way to "give" services channels is what is called channel allocation. In this thesis four different services and three different principles for channel allocation is implemented in a Matlab simulator and simulated. The thesis goal is to determine which principle is best for which mix of services.
The principles that have been investigated are Flexible Algorithm that lets all services use all channels, Fix Dedication Algorithm where all channels are dedicated to a service and only can be used by that one and finally Soft Dedication Algorithm where all channels are dedicated to a service but may be used by other services when it is not needed by the preferred one.
The conclusion is, simplified, that the Soft Dedication Algorithm generates low blocking rates, high bandwidth and that it is a quite robust principle although the borrowing user may be preempted. It may not always be the best one but over all it is the one to prefer.
Detta examensarbete är utfört på uppdrag av och i samarbete med Ericsson och rör kanal- och resurshantering i GSM-systemet.
Ett ständigt problem vid trådlös och mobil kommunikation är den begränsade mängd frekvenser som finns tillgängliga i radiogränssnittet och hur pass nära två radioresursers frekvenser kan ligga varandra. I GSM används TDMA (Time Division Multiple Access) för att få plats med många användare på ett smalt frekvensband. TDMA innebär förenklat att tiden delas upp i åtta tidsluckor och att varje användare får tillgång till en av radioresurserna under en sådan tidslucka (kanal). Detta gäller både i upp- och nedlänk.
I nuläget finns två tjänster, paketdata och tal, som använder tidsluckorna på olika sätt. En talanvändare använder en eller en halv lucka själv medan paketdataanvändare kan dela på en eller flera luckor. Det finns alltså en mängd olika sätt att allokera, "dela ut", dessa luckor till ett givet antal användare. I nuläget har man en väl fungerande algoritm för detta men man tror att det i framtiden kommer att finnas fler tjänster med mer specifika krav på sina tidsluckor (kanaler) och att man då inte längre kan använda samma princip för kanalallokeringen.
I detta exjobb har tre nya, enkla och renodlade principer för kanalallokering undersökts för fyra fiktiva tjänster. Det tre principerna är Flexible Algorithm, där alla tjänster tillåts använda alla kanaler, Fix Dedication Algorithm, där alla kanaler är dedicerade till någon tjänst och endast kan användas av just denna tjänst; och slutligen Soft Dedication Algorithm som fungerar liknande den föregående men här kan tjänster "låna" kanaler av andra tjänster så längs som de är lediga. I Soft Dedication Algorithm kan en eventuell "låntagare" bli avbruten om en användare av rätt tjänst inte hittar en ledig kanal.
Utvärdering har skett genom att simulera systemet i en, delvis egengjord, Matlabsimulator.
Resultaten visar, förenklat, att Soft Dedication Algorithm är den bästa vad gäller låg blockering, kanalutnyttjande och även bandbredder. Den är även förhållandevis robust mot variationer i last.
COROLLI, LUCA. "Deterministic and Stochastic Optimization For Heterogeneous Decision Phases In The Air Traffic Domain." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2014. http://hdl.handle.net/10281/50551.
Full textHUNG, HSU-KUAN, and 洪許寬. "Optimization of GPRS Time Slot Allocation." Thesis, 2001. http://ndltd.ncl.edu.tw/handle/40842257186487983475.
Full text國立臺灣大學
資訊管理研究所
89
With the maturity of the wireless networks technology, the demands for the mobile communication become higher and higher. Besides voice communication demands, data transmission applications such as WWW, multimedia are becoming more and more important. The main system of mobile communication is GSM, which is mainly designed for voice and is not suitable for data transmission. In order to satisfy the increasing user requirements, in developing of GSM phase 2+, the ETSI has specified a general packet radio service (GPRS) that accommodates data connections with high bandwidth efficiency. Since GPRS is based on GSM and they use the same physical channels, the allocation of time slot is an academic issue. Different slot allocation policy will cause different revenue, throughput and QoS of the system. In the vendor's point of view, revenue maximization is the main consideration. Thus in this thesis, we want to find a policy to maximize the system revenue according to the users' traffic pattern. We propose two mathematical models to deal with the slot allocation problem in this thesis. The goal of our model is to find a slot allocation policy to maximize the system revenue under the capacity constraint. The main difference between two models is the time type. The first model is continuous-time, and the second model is discrete time. We apply Markovian decision process to solve our problem due to the problem size and the mathematical structure of our model. The computational results are good in our experiments. We can find a slot allocation policy to maximize the system revenue according to users' traffic pattern. Comparison to the policy that the vendors often used, the policy we found has great improvement in system revenue. Thus, our model could provide good decisions for system vendors and network planners.
CHUANG, HUI-TING, and 莊惠婷. "Optimization of GPRS Time Slot Allocation Considering Call Blocking Probability Constraints." Thesis, 2002. http://ndltd.ncl.edu.tw/handle/54202451602068361393.
Full text國立臺灣大學
資訊管理研究所
90
GPRS is a better solution to mobile data transfer before the coming of 3G network. By using packet-switched technique, one to eight time-slot channels can be dynamically assigned to GPRS users on demand. Because GSM and GPRS users share the same channels and resources, the admission control of different type of traffics is needed to optimize the data channel allocation. The methodology of dynamic slot allocation plays an important role on both maximizing the system revenue and satisfying users’ QoS requirements. We try to find out the best methodology to get the maximum system revenue considering the call blocking probability constraints. We propose two mathematical models to deal with the slot allocation problem in this thesis. The goal of our model is to find a slot allocation policy to maximize the system revenue considering the capacity and the call blocking probability constraints. The main difference between two models is the time type. The first model is discrete-time case, and the other is continuous-time case. Markovian decision process can be applied to solve the problem of maximizing system revenue without the call blocking probability constraints. In order to take the call blocking probability constraints into account, we propose three approaches: linear programming in Markovian decision process, Lagrangian relaxation with Markovian decision process, and the expansion of the Markovian decision process. The most significant and contributive part of this thesis is that we combine the Lagrangian relaxation and the Markovian decision process and use it to successfully solve the Markovian decision process with additional constraints. The computational results are good in our experiments. We can find a slot allocation policy to maximize the system revenue under the call blocking probability constraints. Compared to the policy that the vendors often used, the policy we found has great improvement in system revenue. Thus, our model could provide much better decisions for system vendors and network planners.
Jeong, Wun-Cheol. "Dynamic time division duplex and time slot allocation strategy for multimedia traffic in wireless applications." 2002. http://etda.libraries.psu.edu/theses/approved/WorldWideIndex/ETD-188/index.html.
Full textChung, Sung-Hsi, and 鍾松錫. "Interference Analysis and Time Slot Allocation Scheme in the CDMA/TDD System." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/27140087919447145608.
Full text國立成功大學
電機工程學系碩博士班
92
The key advantage of CDMA/TDD system is to accommodate asymmetric traffic by allocating number of uplink and downlink channels. Because both uplink and downlink use the same frequency band in each cell, the different time slot allocation between each cell will causes severe multiusers' interference in the TDD system. If we combine cellular system with directional antenna technique, the directivity of directional antennas can provide an additional degree of freedom for allocating radio resource and improve the system capacity. In this thesis, we provide exact analysis of interference (include the MS-MS, BS-BS and MS-BS interference) according to the different traffic patterns between adjacent cells. From the analytic results, we propose a proper time slot allocation scheme to avoid the multiusers' interference between time slots from neighboring cells and increase the utilization of the radio resource. Then the analytic results are verified by simulation.
Lu, Po-Hsueh, and 呂柏學. "Time Slot allocation for Improving Energy-Efficiency in Multi-hop Layered WSN." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/25511881499248368048.
Full text國立中山大學
電機工程學系研究所
99
Advances in micro-sensor and wireless technology enable small but smart sensors to be developed for wide range environment-monitor applications. Since Sensor nodes only have limited power capacity and are difficult to recharge, how to prolong network lifetime is an important issue in wireless sensor networks design. Several topology control algorithms have been proposed to maintain the connectivity of wireless sensor network and reduce the energy consumption. Multi-hop Infrastructure Network Architecture (MINA) is a kind of Multi-layer Architecture for WSN topology, which utilizes hundred of sensors to transmit data to a sink. This architecture partitions sensor nodes into layers based on their distances (calculated by hop count) to BS. In this way, the node connected to more nodes will relay more data for other nodes. This make the node exhaust its battery power quickly and thus reduces the network lifetime. This study proposes an Efficient Energy Time-Slot Allocation (EETA) scheme which distributes time slots in accordance with the energy of neighbor nodes and the number of neighbor nodes. In addition, this work also devises an adaptive time slot size to reduce data packet drop in case when the node buffer is full. The simulation results show that the EETA performs better than the MINA in terms of network lifetime.
Tsai, Pei-chi, and 蔡沛圻. "A study on the allocation of the airport time slot for the domestic flight." Thesis, 1997. http://ndltd.ncl.edu.tw/handle/10354108572479691145.
Full text國立交通大學
交通運輸研究所
85
Under the limitation of the airport capacity, except expanding the airport facilities we can also reduce the unfavorable effect of flight delay during peak hours by effective management of the time slot. Current domestic allocation rule is mainly according to the "absolute priorities" and it doesn''t consider the requirement and standpoints of the airport, airlines and passengers; therefore, this study compares the merits and defects of some prevailing allocation rules and takes into account the viewpoints of the three major members of air transportation system (airport, airlines and passengers). Basing on the stability of schedule, capacity of airport, rights of passengers, operational performances of airlines, rights of the newcome and existing airlines, we select seven reasonable criteria for the allocation of time slot. They are grandfather rights, demand of each route, seats of the airplane, load factor, safety records of flying , on-time performance, efficiency of using time slot, respectively.In order to satisfy the "justice" and "reasonableness", this study design a new mode for time slot allocation-"two-stage method". In the first stage, the newcomers of time slot will obtain time slots only when they have better operational performances; besides, they will gain better "time point" in the second stage. As for those who have grandfather rights but don''t have good operational performances will not get the better time points in the second stage and their grandfather rights will decrease by season. Those who have grandfather rights and perform well will keep their original grandfather rights; furthermore, they will increase more time slots. Such an allocation mechanism can push airlines to improve their operational performances and consequently promote the service quality of air transportation.
Ho, Wen-Hsien, and 何文賢. "A Study of Time Slot Allocation Algorithm to Avoid the Interference in the CDMA/TDD System." Thesis, 2002. http://ndltd.ncl.edu.tw/handle/06421097363463973213.
Full text國立成功大學
電機工程學系碩博士班
90
A Study of Time Slot Allocation Algorithm to Avoid the Interference in the CDMA/TDD System Wen-Hsien Ho* Szu-Lin Su** Department of Electrical Engineering National Cheng Kung University, Tainan, Taiwan,R.O.C Besides considering the priority of the messages, the most important factor that will affect the packet scheduling design of a time-division duplex (TDD) communication system is the inherent capability of unbalanced slot allocation between uplink and downlink channels. This unbalanced allocation function is the major difference on the radio resource management of the air interface between TDD and FDD (frequency-division duplex) systems. Hence, the TDD system will suffer from extra multiusers’ interference (e.g, interference of BS-BS and MS-MS) when compared to the FDD system because of the freedom of time-slot allocation. Such extra multiusers’ interference will become more important, if the TDD scheme is combined with CDMA technique, which has an interference-limited capacity. In this thesis, according to the different traffic patterns between adjacent cells, we analyze the outage probability caused by MS-MS interference and other interference such as BS-BS, MS-BS, BS-MS interference. We propose a proper dynamic channel assignment algorithm by time slot allocation to reduce the multiusers’ interference from adjacent cells. The DCA increase the utilization of the radio resource, and then the analytic results are verified by simulation. * The Author ** The Advisor
Lin, Li-Yi, and 林岦毅. "A Near-Optimal Time Slot Allocation Algorithm for Wireless Communication Networks under Throughput and Delay Constraints for Multiple Classes of Traffic." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/49621848169299863093.
Full text國立臺灣大學
資訊管理學研究所
95
Wireless communication networks provide convenience, however, also challenges to multimedia services due to typically limited bandwidth and various QoS (Quality-of-Service) requirements. For a wireless communication network service provider/administrator, it is then essential to develop an effective resource allocation policy so as to fully satisfy possibly different QoS requirements by different classes of traffic, while in the meantime, for example, the overall long-term system revenue rate can be maximized. In this thesis, the problem of time slot allocation in wireless communication networks under throughput and delay constraints for multiple classes of traffic is considered. The basic approach to the algorithm development is a novel combination of MDP (Markovian Decision Process) and Lagrangean relaxation. The problem is first formulated as a standard linear-programming form of an MDP problem, however, with additional QoS constraints. Lagrangean relaxation is then applied to relax such QoS constraints. This Lagrangean relaxation problem, after proper regrouping of the terms involved in the objective function, becomes a standard MDP problem (with a new revenue matrix compared with the original problem) and can be solved by standard liner programming techniques or the policy enhancement algorithm. Another primal heuristic based upon the policy enhancement algorithm is also developed for comparison purposed. It is expected that efficient and effective algorithms be developed by the proposed approach.
Book chapters on the topic "Time slot allocation"
Son, Seokho, and Kwang Mong Sim. "Relaxed Time Slot Negotiation for Grid Resource Allocation." In Communications in Computer and Information Science, 25–32. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-10549-4_4.
Full textCasazza, Marco, Alberto Ceselli, and Lucas Létocart. "Optimizing Time Slot Allocation in Single Operator Home Delivery Problems." In Operations Research Proceedings, 91–97. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-28697-6_14.
Full textFu, Minglei, Yiluan Zhuang, Maolin He, and Zichun Le. "Delay Aware Time Slot Allocation Algorithm in Light-Trail Network." In Internet of Things, 41–48. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-32427-7_6.
Full textLouail, Lemia, and Violeta Felea. "Routing-Aware Time Slot Allocation Heuristics in Contention-Free Sensor Networks." In Lecture Notes in Computer Science, 271–83. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-33936-8_21.
Full textBjelajac, Branko, and Axel Nöllchen. "Dynamic Transceiver, Carrier and Time-Slot Allocation Strategies for Mobile Satellite Systems." In Mobile and Personal Satellite Communications 2, 270–85. London: Springer London, 1996. http://dx.doi.org/10.1007/978-1-4471-1516-8_21.
Full textDeng, Liping, Hong Jiang, Jie Tian, and He Xiao. "Energy-Efficient UAV-Based Communication with Trajectory, Power, and Time Slot Allocation Optimization." In Lecture Notes in Electrical Engineering, 1176–84. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-8411-4_154.
Full textLi, Siqi, Bingbing Zhang, Wenjing Kang, Bo Li, Ruofei Ma, and Gongliang Liu. "The Design of Inter-satellite Link Topology Based on Time-Slot Allocation Technology." In Machine Learning and Intelligent Communications, 594–603. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00557-3_59.
Full textPuri, Tamanna, Rama Krishna Challa, and Navneet Kaur Sehgal. "Energy-Efficient Delay-Aware Preemptive Variable-Length Time Slot Allocation Scheme for WBASN (eDPVT)." In Proceedings of 2nd International Conference on Communication, Computing and Networking, 183–94. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-1217-5_19.
Full textTizzei, Leonardo P., Marco A. S. Netto, and Shu Tao. "Optimizing Multi-tenant Cloud Resource Pools via Allocation of Reusable Time Slots." In Economics of Grids, Clouds, Systems, and Services, 3–17. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-43177-2_1.
Full text"Time-Slot Allocation in Wireless TDMA." In System Performance Evaluation, 219–30. CRC Press, 2000. http://dx.doi.org/10.1201/9781482274530-21.
Full textConference papers on the topic "Time slot allocation"
Kong, Hongwei, Fang Ruan, and Chongxi Feng. "Performance analysis of dynamic time-slot allocation system." In Asia-Pacific Optical and Wireless Communications Conference and Exhibit, edited by Wanyi Gu, Jianhui Zhou, and Jin-Yi Pan. SPIE, 2001. http://dx.doi.org/10.1117/12.445115.
Full textNeung-Hyung Lee, Keun Chul Hwang, Saewoong Bahk, and Kwang Bok Lee. "Optimal time slot allocation for multiuser wireless networks." In 2004 IEEE Wireless Communications and Networking Conference (IEEE Cat. No.04TH8733). IEEE, 2004. http://dx.doi.org/10.1109/wcnc.2004.1311439.
Full textAzem, Sharif, Anam Tahir, and Heinz Koeppl. "Dynamic Time Slot Allocation Algorithm for Quadcopter Swarms." In 2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC). IEEE, 2022. http://dx.doi.org/10.1109/ccnc49033.2022.9700712.
Full textMarescaux, T., B. Bricke, P. Debacker, V. Nollet, and H. Corporaal. "Dynamic time-slot allocation for QoS enabled networks on chip." In 3rd Workshop on Embedded Systems for Real-Time Multimedia, 2005. IEEE, 2005. http://dx.doi.org/10.1109/estmed.2005.1518069.
Full textHuang, Shao-cheng, Lin-hua Ma, Le Ru, Zhao Cai, Song Zhang, and Xing Hu. "Traffic prediction-based dynamic time slot allocation TDMA protocol." In 2015 IEEE International Conference on Computer and Communications (ICCC). IEEE, 2015. http://dx.doi.org/10.1109/compcomm.2015.7387581.
Full textFrank Yeong-Sung Lin, Cheng-Ta Lee, and Li-Yi Lin. "An efficient time slot allocation algorithm in wireless networks." In 2010 IEEE International Conference on Wireless Communications, Networking and Information Security (WCNIS). IEEE, 2010. http://dx.doi.org/10.1109/wcins.2010.5542311.
Full textAl-Anbagi, Irfan, Melike Erol-Kantarci, and Hussein T. Mouftah. "Time slot allocation in WSNs for differentiated smart grid traffic." In 2013 IEEE Electrical Power & Energy Conference (EPEC). IEEE, 2013. http://dx.doi.org/10.1109/epec.2013.6802958.
Full textShimada, Yuji, Takehiro Sato, Kazumasa Tokuhashi, Hidetoshi Takeshita, Satoru Okamoto, and Naoaki Yamanaka. "Optimum Multicast Time Slot Allocation in Active Optical Access Network." In OptoElectronics and Communications Conference and Photonics in Switching. Washington, D.C.: OSA, 2013. http://dx.doi.org/10.1364/oecc_ps.2013.thp2_3.
Full textYang, Ming, and Peter H. J. Chong. "Time Slot Allocation Schemes for Multihop TDD-CDMA Cellular System." In 2007 IEEE Wireless Communications and Networking Conference. IEEE, 2007. http://dx.doi.org/10.1109/wcnc.2007.573.
Full textMahamat, Michael, Hicham Lakhlef, Ahmed Lounis, and Youcef Imine. "Optimal Time Slot Allocation for Communicating Things Using Local Clocks." In 2020 International Conference on Software, Telecommunications and Computer Networks (SoftCOM). IEEE, 2020. http://dx.doi.org/10.23919/softcom50211.2020.9238158.
Full text