A miniaturized dual-band antenna for long-term evolution system template

2013 ◽  
Vol 55 (6) ◽  
pp. 1379-1382
Author(s):  
Chih Peng Lin ◽  
T.Y. Lin ◽  
Jie-Huang Huang ◽  
Christina F. Jou
2020 ◽  
Vol 2020 ◽  
pp. 1-28
Author(s):  
Mina Malekzadeh

The 802.11ax high-efficiency wireless (HEW) particularly designed for high-density areas. However, dense areas have specific requirements that demand precise deployment strategies by network developers. In dense networks, a large number of users are simultaneously connected to the same channel; hence, the available bandwidth is divided among the users in such a way that joining more users can eventually saturate the network. Furthermore, in dense areas, a large number of closely spaced users are transmitting data at the same time. In such a heavily frequency interfered environment, the wireless link quality extremely degrades, which can practically render the network unavailable. Thereby, it is essential to determine the appropriate deployment options regarding the specific networks’ settings and configurations. Hence, this work proposes a network architecture model to determine the dual-band HEW performance in dense deployments. The model additionally includes long-term evolution (LTE) as the cellular alternative for high-density areas which is utilized by the model as the reference point for corresponding comparison purposes with HEW. The model is implemented, and link quality parameters are measured based on different aspects of the deployment options. To further validate the model and determine the optimization levels provided by the options, the simulation and analytical results are compared.


2015 ◽  
Vol 35 (3) ◽  
pp. 205-215
Author(s):  
Zixuan Ning ◽  
Yuanan Liu ◽  
Yongle Wu ◽  
Jianguo Yu

2014 ◽  
Vol 513-517 ◽  
pp. 3577-3580
Author(s):  
Dan Wang ◽  
Wen Wen Xu ◽  
Jia Luo

In TD-LTE (Time Division-Long Term Evolution) system, Resource Element Group (REG) is the unit of de-resource mapping for Physical Downlink Control Channel (PDCCH), due to the reference signal should be considered, which lead to the large calculation. To solve this problem, a modified method is proposed in this paper to reduce the cycles of de-resource mapping. Calculation and simulation reveal that this scheme can reduce the calculation significantly. At the same time, the feasibility and effectiveness of this modified method have been verified.


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