Border Adaptive Micro-Base-Station for Wireless Communications

Author(s):  
Henry Gao ◽  
Yushi Shen

This chapter presents a novel architecture, namely the border adaptive micro-base-station network, which can sufficiently meet the bandwidth requirements for the future wireless networks. From the three screens convergence point, the goal is to make the wireless service performance match that of the wired systems, instead of downgrading the performance of wired network applications to the wireless level. Based on the analysis of Shannon theory, the only way to build future wireless networks is to adopt this micro-base-station approach instead of progressively improving the traditional large-cell-base-station systems, such as Long-Term Evolution (LTE).

Author(s):  
Aleksei Alyoshin ◽  
Dmitriy Fofanov ◽  
Boris Kartyshev ◽  
Mikhail E. Belkin ◽  
Alexander Sigov

2018 ◽  
Vol 66 (12) ◽  
pp. 6851-6861 ◽  
Author(s):  
Petros I. Bantavis ◽  
Christos I. Kolitsidas ◽  
Tzihat Empliouk ◽  
Marc Le Roy ◽  
B. Lars G. Jonsson ◽  
...  

2017 ◽  
Vol 8 (1) ◽  
pp. 1
Author(s):  
Totok Yuwanto

Dengan semakin pesatnya pertumbuhan dan kebutuhan penggunaan data maka diperlukan suatu jaringan telekomunikasi yang mampu memenuhi kebutuhan tersebut yaitu dalam hal kapasitas, kualitas, mobilitas dan kecepatan. Untuk memenuhi kebutuhan  tersebut maka perusahaan operator telekomunikasi  dituntut untuk menggelar  jaringan telekomunikasi  yang mempunyai kapasitas besar, kecepatan tinggi, handal dan mempunyai kualitas yang bisa memenuhi kebutuhan tsb .  Salah satu tehnologi seluler terbaru yang bisa memenuhi kebutuhan tsb adalah tehnologi LTE. Pada penelitian ini dianalisa secara teknologi dan ekonomi terhadap implementasi LTE release 8 pada jaringan operator existing dengan menggunakan skenario join base station. Model analisa yang digunakan berdasarkan prinsip tekno ekonomi dengan menggunakan metoda capacity planning and coverage estimation untuk menentukan perancangan teknologi LTE serta  metoda DCF untuk menganalisa secara ekonomi dan juga mengukur kelayakan biaya yang dikeluarkan untuk implementasi LTE tersebut. Hasil penelitian diperoleh nilai NPV positif  dan IRR sebesar 12.95% , dengan nilai Pay Back Period 3 Tahun 1 Bulan. Berdasarkan hasil tsb dapat disimpulkan bahwa implementasi jaringan berbasis Long Term Evolution  (LTE)  di propinsi Banten layak untuk di implementasikan. 


Author(s):  
Ya-Ping Hu ◽  
Yi-Ming Chiang

This study investigates the synergistic relationships among intellectual capital, process capability, and medical service performance. An empirical study was conducted by using a second-order research framework. Data were collected through a questionnaire survey, and structural equation modeling techniques were used to analyze the data. An empirical analysis revealed that intellectual capital is a major factor influencing final medical service performance. This major factor should be carefully improved to increase process capability in hospitals in the long term. Hospitals account for a substantial proportion of the intellectual capital in the health-care industry, and, thus, should improve their process capability to achieve high medical service performance.


2010 ◽  
Vol 27 (1) ◽  
pp. 45-52
Author(s):  
M. Perry ◽  
P.F. Morris ◽  
P.D. Clarke
Keyword(s):  

2022 ◽  
pp. 1-16
Author(s):  
Nagaraj Varatharaj ◽  
Sumithira Thulasimani Ramalingam

Most revolutionary applications extending far beyond smartphones and high configured mobile device use to the future generation wireless networks’ are high potential capabilities in recent days. One of the advanced wireless networks and mobile technology is 5G, where it provides high speed, better reliability, and amended capacity. 5 G offers complete coverage, which is accommodates any IoT device, connectivity, and intelligent edge algorithms. So that 5 G has a high demand in a wide range of commercial applications. Ambrosus is a commercial company that integrates block-chain security, IoT network, and supply chain management for medical and food enterprises. This paper proposed a novel framework that integrates 5 G technology, Machine Learning (ML) algorithms, and block-chain security. The main idea of this work is to incorporate the 5 G technology into Machine learning architectures for the Ambrosus application. 5 G technology provides continuous connection among the network user/nodes, where choosing the right user, base station, and the controller is obtained by using for ML architecture. The proposed framework comprises 5 G technology incorporate, a novel network orchestration, Radio Access Network, and a centralized distributor, and a radio unit layer. The radio unit layer is used for integrating all the components of the framework. The ML algorithm is evaluated the dynamic condition of the base station, like as IoT nodes, Ambrosus users, channels, and the route to enhance the efficiency of the communication. The performance of the proposed framework is evaluated in terms of prediction by simulating the model in MATLAB software. From the performance comparison, it is noticed that the proposed unified architecture obtained 98.6% of accuracy which is higher than the accuracy of the existing decision tree algorithm 97.1% .


Author(s):  
Ye Ouyang ◽  
Hosein Fallah

The past few years have seen mobile operators transition to next-generation mobile networks, specifically from third-generation networks (3G) to long term evolution (LTE). This paper describes the basic architecture and topology of UMTS R4 core network and introduces two options in network planning, i.e., flat structure or layered structure. This paper introduces the re-homing of radio network controller (RNC) and base station controller (BSC) and studies the impact on the performance of voice core of UMTS networks. The proposed RNC re-homing models are created and analyzed for voice core of UMTS networks. The paper concludes that the appropriate RNC re-homing optimizes the traffic of voice core in UMTS network.


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