Access network discovery and selection in the evolved 3GPP multi-access system architecture

2010 ◽  
Vol 21 (6) ◽  
pp. 544-557 ◽  
Author(s):  
Joachim Sachs ◽  
Magnus Olsson
2011 ◽  
Vol 16 (3) ◽  
pp. 337-349 ◽  
Author(s):  
Marius Corici ◽  
Jens Fiedler ◽  
Thomas Magedanz ◽  
Dragos Vingarzan

2019 ◽  
Vol 8 (4) ◽  
pp. 51 ◽  
Author(s):  
Federico Tonini ◽  
Bahare Khorsandi ◽  
Elisabetta Amato ◽  
Carla Raffaelli

The global connected cars market is growing rapidly. Novel services will be offered to vehicles, many of them requiring low-latency and high-reliability networking solutions. The Cloud Radio Access Network (C-RAN) paradigm, thanks to the centralization and virtualization of baseband functions, offers numerous advantages in terms of costs and mobile radio performance. C-RAN can be deployed in conjunction with a Multi-access Edge Computing (MEC) infrastructure, bringing services close to vehicles supporting time-critical applications. However, a massive deployment of computational resources at the edge may be costly, especially when reliability requirements demand deployment of redundant resources. In this context, cost optimization based on integer linear programming may result in being too complex when the number of involved nodes is more than a few tens. This paper proposes a scalable approach for C-RAN and MEC computational resource deployment with protection against single-edge node failure. A two-step hybrid model is proposed to alleviate the computational complexity of the integer programming model when edge computing resources are located in physical nodes. Results show the effectiveness of the proposed hybrid strategy in finding optimal or near-optimal solutions with different network sizes and with affordable computational effort.


1968 ◽  
Vol 11 (1) ◽  
pp. 12-16 ◽  
Author(s):  
A. G. Fraser

2018 ◽  
Vol 36 (8) ◽  
pp. 1510-1515 ◽  
Author(s):  
Jun-ichi Kani ◽  
Manabu Yoshino ◽  
Kota Asaka ◽  
Hirotaka Ujikawa ◽  
Takashi Yamada ◽  
...  

2005 ◽  
Author(s):  
Jianhua Ji ◽  
Ming Xu ◽  
Shuwen Yang ◽  
Zhipeng Zhang ◽  
Ke Wang

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