Measurements and Comparative of M/M/1 and M/D/1 Queuing Models of Resource Management in Satellite Systems

2011 ◽  
Vol 6 (5) ◽  
pp. 99-107 ◽  
Author(s):  
Pedramhajipour ◽  
Leila Mohammadi ◽  
Mohammad Reza Keshavarzi
2020 ◽  
Vol 9 (11) ◽  
pp. 628
Author(s):  
Francisco Javier Mesas-Carrascosa

Natural resource management requires reliable and timely information available at local, regional, national, and global scales. Geo-informatics, by remote sensing, global navigation satellite systems, geographical information systems, and related technologies, provides information for natural resource management, environmental protection, and support related to sustainable development. Geo-informatics has proven to be a powerful technology for studying and monitoring natural resources as well as in generating predictive models, making it an important decision-making tool. The manuscripts included in this Special Issue focus on disciplines that advance the field of resource management in geomatics. The manuscripts showcased here provide different examples of challenges in resource management.


2020 ◽  
pp. 1-1
Author(s):  
Steven Kisseleff ◽  
Eva Lagunas ◽  
Tedros Salih Abdu ◽  
Symeon Chatzinotas ◽  
Bjorn Ottersten

Sensors ◽  
2019 ◽  
Vol 20 (1) ◽  
pp. 197 ◽  
Author(s):  
Rui Zhang ◽  
Yuhan Ruan ◽  
Yongzhao Li ◽  
Can Liu

By providing interactive broadband services to geographical areas underserved by terrestrial infrastructure, multi-beam satellite systems play a central role in future wireless communications. Targeting the terabit throughput requirements in satellite communications, we introduce a cognitive radio-based high-throughput satellite (HTS) system architecture where full frequency reuse is employed among beams. Moreover, by analyzing the characteristics of the considered architecture, we discuss the design challenges of radio resource management in cognitive HTS systems exposed to both intra-system and inter-system co-channel interference. Furthermore, to combat interference with low overhead, we propose a generic interference-aware resource management framework based on joint spatial division and multiplexing (JSDM). Under this framework, user grouping along with two-stage precoding is studied to achieve substantial improvement in the overall system throughput. Finally, some future research directions and challenges are also given.


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