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У статті розглядається удосконалення моделі множинної взаємодії угруповань радіоелектронних засобів (РЕЗ) повітряної радіонавігаційної служби і РЕЗ мобільного зв’язку четвертого покоління (LTE) на міжсистемному рівні на основі аналізу особливостей функціонування військової техніки повітряної радіонавігаційної служби та виникаючих при цьому електром...
Citations
... Current Long-Term Evolution (LTE), as known as 4G, transmits data from the base station to multiple user devices by using the orthogonal frequency-division multiplexing (OFDM) in LTE downlink. OFDM allows the 4G network to achieve higher data rate than the old 3G network by reducing the multipath effects but still allowing multiple accesses on a single channel [20]. Nevertheless, there are some drawbacks exist in OFDM modulation. ...
... However, SC outperforms MC by its low PAPR values that not only reduces the cost for the system but also ensure the efficiency of the transmission power [21]. The comparison of aforementioned mm-wave modulation techniques is given in table 2 based on the assessments of OTFS and OFDM in sub-6 GHz mm-wave channel by Wiffen, the recent advancements of electronics which also brings out the advantages of current SC systems (SC-FDMA) over OFDM by Buzzi and also the characteristic of these methods in the literature [20,[25][26][27][28]. ...
... However, to maintain the consistency of the transferred data, this process also consumes power for computation and bandwidth in the network that can also cause serious issue for the system [18]. [20,25,27,28] There are two main policies required after decoding to optimize this process: Forward error correction (FEC) and automatic repeat request (ARQ). FEC is used to detect the errors in the received data and correct it, if possible, whereas ARQ triggers the retransmission from the RXs when discovers errors. ...
The fifth generation (5G) of mobile communication systems has brought many enabling technologies with rapid advancements that are expected to generate efficient Internet of Things (IoT) applications within the 5G communication system. Millimeter wave (mm-wave) is introduced as an emerging technology in 5G that enables higher data rate in wireless communication allowing massive data transmission and high-resolution smart devices. In this report, 5G mm-wave technologies are analyzed for use in 5G-IoT based system including mm-wave modulation, error channel coding and multiple input multiple output methods, following with the overviews of current 5G and IoT systems, and the potential as well as the challenges of mm-wave when deploying in these systems.
... Esto si se tiene en cuenta que ahora se puede transmitir información por medio de redes inalámbricas de alta velocidad (3G, LTE/LTE-Adv) y, en el futuro próximo, 5G), lo cual permite a los operadores de infraestructuras hibridadas, usar tecnología inalámbrica exclusivamente para tener acceso, y redes fijas de fibra para súper redes centrales y regionales (Jofre, 2012). ...
This document refers to a collection of some theoretical LRIC models implemented in mobile technologies such as heterogeneous networks centralized base stations, 4G, LTE, wireless, converged networks. Therefore the document considers elements of the technologies used and particular elements as implementation costs according to services and implementation methodology.
... Esto si se tiene en cuenta que ahora se puede transmitir información por medio de redes inalámbricas de alta velocidad (3G, LTE/LTE-Adv) y, en el futuro próximo, 5G), lo cual permite a los operadores de infraestructuras hibridadas, usar tecnología inalámbrica exclusivamente para tener acceso, y redes fijas de fibra para súper redes centrales y regionales (Jofre, 2012). ...
This document refers to a collection of some theoretical LRIC models implemented in mobile technologies such as heterogeneous networks centralized base stations, 4G, LTE, wireless, converged networks. Therefore the document considers elements of the technologies used and particular elements as implementation costs according to services and implementation methodology.
With the low latency, high transmission rate, and high reliability provided by the fifth-generation mobile communication network (5G), many applications requiring ultra-low latency and high reliability (uRLLC) have become a hot research topic. Among these issues, the most important is the Internet of Vehicles (IoV). To maintain the safety of vehicle drivers and road conditions, the IoV can transmit through sensors or infrastructure to maintain communication quality and transmission. However, because 5G uses millimeter waves for transmission, a large number of base stations (BS) or lightweight infrastructure will be built in 5G, which will make the overall environment more complex than 4G. The lightweight infrastructure also has to be considered together. For these reasons, in 5G, there are two mechanisms for handover, horizontal, and vertical handover; hence, it must be discussed how to handle handover to obtain the best performance for the whole network. In this paper, to address handover selection, we consider delay time, energy efficiency, load balancing, and energy consumption and formulate it as a multi-objective optimization (MOO) problem. At the same time, we propose the handover of the mobile management mechanism based on location prediction combined with heuristic algorithms. The results show that our proposed mechanism is better than the distance-based one for energy efficiency, load, and latency. It optimizes by more than about 20% at most.
Advances in computing hardware and novel multimedia applications have urged the development of handheld mobile devices such as smartphones and PDAs. Amongst the most used applications on handheld devices are mobile 3D graphics such as 3D games and 3D virtual environments. With this significant increase of mobile applications and games, one of the challenges is how to efficiently transmit the bulky 3D information to resource-constrained mobile devices. Despite the many attractive features, 3D graphics impose significant demands on the limited battery capacity of mobile devices. Thus the development of efficient approaches to decrease the amount of streamed data with the aim of increasing the battery lifetime has become a key research topic.
In this paper, we design and implement an adaptive priority-based context-aware framework for efficiently streaming 3D textures to mobile devices with limited energy budget over wireless networks. Our results show that using our proposed adaptations significantly improves the gameplay quality per unit of energy consumed to download 3D textures in mobile games.
