Academia.edu no longer supports Internet Explorer.
To browse Academia.edu and the wider internet faster and more securely, please take a few seconds to upgrade your browser.
2017
…
7 pages
1 file
IEEE Transactions on Wireless Communications, 2004
In this paper, we propose a novel wireless radio resource manager to control both the transmission power and the bit rate of mobile devices cooperatively, whereas previous work has focused on handling them separately. The proposed scheme is called Genetic Algorithm for Mobiles Equilibrium (GAME). Based on an evolutionary computational model, GAME assigns optimally both the transmitting power and bit rate values to every mobile device in a given cell. Optimal allocation is in the sense that every mobile unit gets only enough resources necessary for meeting or exceeding its quality of service (QoS) requirements. GAME solves an optimization function that strives to maintain the QoS requirements of the different multimedia streams subject to the physical channel characteristics. Having done that, we gain further benefits as well. In addition to maintaining the QoS requirements, GAME tends to prefer assigning lower levels of transmission power, thus extending the mobile units' battery life, minimizing interference seen by other users, and significantly decreasing the call blocking (or dropping) rates. Furthermore, GAME radio resource allocations reduce infrastructure costs by requiring fewer base stations per square kilometer. In our experiments, we have seen a 70% average expansion in the base station coverage area with 40% decrease in mobile call outage probability among other benefits.
Asynchronous transfer mode BS Base station CAC Call admission control CBR Constant bit rate CDMA Code division multiple access CDF Cumulative distribution function CCDF Complement cumulative distribution function CPRA Constant price resource allocation CORA Centralized optimal resource allocation CPA Cutting plane algorithm CA Content aware CSI Channel state information DORA Decentralized optimal resource allocation DSRA Decentralized sub-optimal resource allocation DAG Directed acyclic graph xvi EIA Energy independent approach EDFA Earliest deadline first approach EPA Equal power allocation ≥ q l Γ u,vu Threshold on received SNR from MT radio interface u to support data
Comparing market estimates for wireless personal communication and considering recent proposals for wideband multimedia services with the existing spectrum allocations for these types of systems show that spectrum resource management remains an important topic in the near and distant future. In this paper, we start out by presenting a quite general formulation of the radio resource management problem where the three key allocation decisions are concerned with waveforms(" channels "), access ports (or base stations) and, finally, with the transmitter powers. We briefly review some the current approaches to these problems as found in the litterature. In particular the principles of random channel allocation schemes, as found in frequency hopping or direct sequence CDMA systems, are compared with determinisic dynamic channel allocation schemes. The paper closes by giving an outlook over some of the key problems in resource management in future wireless multimedia systems.
This paper presents a c omparison of channel allocation schemes for mobile c ellular networks. Three schemes have been evaluated: Fixed Channel Allocation (FCA), Dynamic Channel Allocation (DCA) and Channel Allocation with Space a nd Time Variations (CA STV). The third scheme uses information about mobile users profiles for getting adaptability to traffic fluctuations. Results were obtained u sing a simulation environment for mobile c ellular networks called CELSA, which implements a user mobility model based on personal, space a nd time characteristics. The results provide insight into the e fficiency of taking into account the mobile users personal profiles, the c urrent cell characteristics and the time of the day in the channel allocation algorithm.
Proceedings of IEEE Vehicular Technology Conference (VTC)
Paper summaries due next Wednesday Overview of resource allocation in ad-hoc networks Cross-layer adaptation Distributed power control Joint scheduling and power control for wireless ad hoc networks (Haleh Tabrizi) Adaptation and interference (wideband CDMA) Adaptation via game theory (Manas Deb) Adaptive Techniques for Wireless Ad-Hoc Networks Network is dynamic (links change, nodes move around) Adaptive techniques can adjust to and exploit variations Adaptivity can take place at all levels of the protocol stack Negative interactions between layer adaptation can occur What to adapt, and to what? QoS Adapts to application needs, network/link conditions, energy/power constraints, … Routing Adapts to topology changes, link changes, user demands, congestion, … Transmission scheme (power, rate, coding, …) Adapts to channel, interference, application requirements, throughput/delay constraints, … Adapting requires information exchange across layers and should happen on different time scales
1997
High terminal tra c densities are expected in urban multiuser radio systems. An e cient allocation of resources is the key to high system capacity. In this paper a distributed dynamic resource allocation(DDRA) scheme based on local signal and interference measurements is proposed for multi-user radio networks. It o ers "soft capacity", for time division multiple access (TDMA) and frequency division multiple access (FDMA) systems, bounded above by N per base station, where N is the total number of channels in the system.
International Journal of Computer Applications, 2015
Today's multimedia application has many requirements in terms of quality of service and users always want to be best connected anywhere, anytime, and anyhow. To satisfy these demands, many access technologies have become available: WLAN, WMAN, and Cellular networks. For service provider, it is difficult to select the best network for requesting services and to control the quality level of ongoing connections due to coexistence of these technologies in the same region. Thus, resource management is needed to prevent overloaded or underutilized networks as well as to best satisfy users is necessary. This survey paper addresses the problem of Radio resource management, existing resource management techniques and their limitations.
International Journal of Engineering Research and Technology (IJERT), 2012
https://www.ijert.org/a-study-on-resource-allocation-aspects-for-wireless-networks https://www.ijert.org/research/a-study-on-resource-allocation-aspects-for-wireless-networks-IJERTV1IS9495.pdf Resource allocation is one of the most challenging tasks in the wireless networks. Many schemes exist in literature to allocate the available resources to users. Different schemes employ different algorithms to allocate the subcarrier, bits, data rate, transmit power, bandwidth etc. to different users in the network while satisfying the desired constraints posed by the users like utility maximization, power reduction, throughput maximization and so on. Adaptive modulation is also used in order to effectively handle the network resources. In this paper, some of the existing resource allocation schemes and their performance is discussed.
https://www.irjet.net/archives/V4/i10/IRJET-V4I1040.pdf
BERBASIS MIKROKONTROLER 1. Deskripsi Sistem Sensor Linier Variable Differential Transformers (LVDT) Adalah suatu sensor yang bekerja berdasarkan prinsip trafo diferensial dengan gandengan variabel antara gandengan variabel antara kumparan primer dan kumparan sekunder. Prinsip ini pertama kali dikemukakan oleh Schaevits pada tahun 1940-an.Pada masa sekarang sensor LVDT telah secara luas digunakan. Pada aplikasinya LVDT dapat digunakan sebagai sensor jarak, sensor sudut, dan sensor mekanik lainnya.Untuk kali ini sensor ini diaplikasikan sebagai sensor jarak. Suatu LVDT pada dasarnya terdiri dari sebuah kumparan primer, dua buah kumparan sekunder, dan inti dari bahan feromagnetik. Kumparan-kumparan tersebut dililitkan pada suatu selongsong, sedangkan inti besi ditempatkan didalam rongga selongsong tersebut. Selongsong ini terbuat dari bahan nonmagnetik. Kumparan primer dililitkan ditengah selongsong, sedangkan kedua kumparan sekunder dililitkan disetiap sisi kumparan primer. Kedua kumparan sekunder ini dihubungkan seri secara berlawanan dengan jumlah lilitan yang sama. Perancangan sistem dari tugas yang berjudul system monitoring tangki SPBU dan detektor kadar air yang terkandung dalam bahan bakar dengan menggunakan sensor LVDT dan sensor konduktifitas adalah dengan cara memanfaatkan sensor LVDT/sensor pergeseran untuk mengetahui volume tangki pendam ,serta sensor konduktifitas yang mampu membedakan massa jenis dari bahan bakar dan air.
TÜRK HUKUK TARİHİ ARAŞTIRMALARI/Journal of Turkish Legal History, 2022
Personality and Individual Differences, 2014
The Journal of Law, Medicine & Ethics
Journal of Responsible Tourism Management, 2022
2017 1st International Workshop on Arabic Script Analysis and Recognition (ASAR), 2017
La Repubblica, 2023
5th International Congress on Ambiances, 2024
Land Degradation & Development, 2013
Civil and environmental research, 2016
Revista do Serviço Público, 1960
Turkish Journal of Agricultural and Natural Science, 2020
Materials, 2011
Cardiologia Croatica, 2022
Brazilian Journal of Information Science: Research Trends, 2011