Temat: radio interference - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Lessons Learned from WiMAX Deployment at INEA
Autorzy:: Kowalik, K.
Dudek, D.
Kołodziejski, M.
Musznicki, B
Grzybek, E.
Jarzina, J.
Powiązania:: https://bibliotekanauki.pl/articles/308259.pdf
Data publikacji:: 2014
Wydawca:: Instytut Łączności - Państwowy Instytut Badawczy
Tematy:: interference
radio capacity
radio planning
WiMAX
Opis:: Home broadband access is continuously demanding more bandwidth fueled by video streaming, entertainment and gaming applications. In 2010, a company INEA decided to roll-out new WiMAX-based services aimed to meet the needs of home users across theWielkopolska region of western Poland. It was decided to follow the 802.16e standard and the Time Division Duplexing (TDD) mode that oer the ability to adjust the downlink/uplink ratio and thus are well suited for data transmission. After an extensive testing period of equipment from various vendors, engineers at INEA have chosen the Motorola (currently Cambium Networks) PMP320 solution because it is compact and its components are space- and energy-ecient. The company choice was also influenced by its simple operation, management and installation, which ensured low costs of ownership. So far, this deployment has provided fast and aordable connectivity for Internet and telephony services to around 5,500 households across the 30,000 sq. km region. After 3 years of experience, INEA would like to share the lessons learned from this roll-out.
Źródło:: Journal of Telecommunications and Information Technology; 2014, 3; 34-41
1509-4553
1899-8852
Pojawia się w:: Journal of Telecommunications and Information Technology
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: ICBCA – Improved Cluster Based Channel Allocation in Cognitive Radio Sensor Networks
Autorzy:: Agarkhed, Jayashree
Gatate, Veeranna
Powiązania:: https://bibliotekanauki.pl/articles/308481.pdf
Data publikacji:: 2020
Wydawca:: Instytut Łączności - Państwowy Instytut Badawczy
Tematy:: channel interference
channel overlapping
co-channel interference
cognitive radio
Opis:: Wireless sensor networks (WSNs) operate in an overcrowded electromagnetic environment, as the spectrum is shared by various wireless communication technologies. This gives rise to various challenges related to optimized and efficient spectrum utilization. Cognitive radio (CR) has emerged as a solution satisfying this requirement, as it is capable of adapting to the dynamic radio spectrum. Thanks to the deployment of cognitive radio in WSNs, the spectrum may be utilized in a more efficient manner. CR may identify the vacant channels dynamically, allowing the sensor nodes to effeectively communicate with each other. In this paper a clustering algorithm known as improved cluster-based channel assignment (ICBCA) is implemented, forming clusters of CR sensor nodes and then selecting vacant channels for data transmission purposes. Simulation results show that ICBCA outperforms existing clustering algorithms in CR sensor networks.
Źródło:: Journal of Telecommunications and Information Technology; 2020, 3; 28-35
1509-4553
1899-8852
Pojawia się w:: Journal of Telecommunications and Information Technology
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: Optimal Spectrum Sensor Assignment in Multi-channel Multi-user Cognitive Radio Networks
Autorzy:: Nandini, K. S.
Hariprasad, S. A.
Powiązania:: https://bibliotekanauki.pl/articles/308326.pdf
Data publikacji:: 2018
Wydawca:: Instytut Łączności - Państwowy Instytut Badawczy
Tematy:: channel accessibility matrix
cognitive radio networks
optimal assignment
probability of interference
secondary users
spectrum sensing
Opis:: Accurate detection of spectrum holes is the most important and critical task in any cognitive radio (CR) communication system. When a single spectrum sensor is assigned to detect a speciﬁc primary channel, then the detection may be unreliable because of noise, random multipath fading and shadowing. Also, even when the primary channel is invisible at the CR transmitter, it may be visible at the CR receiver (the hidden primary channel problem). With a single sensor per channel, a high and consistently uniform level of sensitivity is required for reliable detection. These problems are solved by deploying multiple heterogeneous sensors at distributed locations. The proposed spectrum hole detection method uses cooperative sensing, where the challenge is to properly assign sensors to different primary channels in order to achieve the best reliability, a minimum error rate and high efficiency. Existing methods use particle swarm optimization, the ant colony system, the binary ﬁreﬂy algorithm, genetic algorithms and non-linear mixed integer programming. These methods are complex and require substantial pre-processing. The aim of this paper is to provide a simpler solution by using simpler binary integer programming for optimal assignment. Optimal assignment minimizes the probability of interference which is a non-linear function of decision variables. We present an approach used to linearize the objective function. Since multiple spectrum sensors are used, the optimal constrained assignment minimizes the maximum of interferences. While performing the optimization, the proposed method also takes care of the topological layout concerned with channel accessibility. The proposed algorithm is easily scalable and ﬂexible enough to adapt to different practical scenarios.
Źródło:: Journal of Telecommunications and Information Technology; 2018, 4; 88-96
1509-4553
1899-8852
Pojawia się w:: Journal of Telecommunications and Information Technology
Dostawca treści:: Biblioteka Nauki

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