Name
Abstract | ||
|---|---|---|
This paper presents a simple policy to immediately reduce the overall core network's interpersonal voice/data traffic of nearly 15% on average in highly populated urban areas. This remarkable result can be achieved without resorting to complementary radio technologies, but by adding a few basic functionalities that simply rely on enabling the mobile operator to be aware of the fact that people are interacting by mobile phone in proximity. As a first contribution of this paper we give empirical evidence of the role played by these shortrange social interactions through an extensive analysis of the large anonymized datasets of Call Detail Records (CDR) of two different mobile operators. Then, we describe a NFV/SDN-based approach that a mobile operator should adopt to detect whether a voice/text activity is directed to a nearby person, to negotiate with adjacent cells the establishment of the communication channel and to divert the traffic over it to offload the core network. |
Year | Venue | Field |
|---|---|---|
2016 | 2016 13TH IEEE ANNUAL CONSUMER COMMUNICATIONS & NETWORKING CONFERENCE (CCNC) | Mobile identification number,Mobile computing,Mobile search,Computer security,Computer science,Computer network,Mobile database,GSM services,Small cell,Mobile phone,Radio access network |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
4 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Christian Quadri | 1 | 27 | 7.96 |
| Sabrina Gaito | 2 | 209 | 29.64 |
| Gian Paolo Rossi | 3 | 390 | 78.09 |