Mobile Opportunistic Traffic Offloading
Funding programme European Commission - FP7 ICT 2011-8
Coordinator Thales Communications & Security SA (FR)
Partners Consiglio Nazionale delle Ricerche (IT); Asociacion De Empresas Tecnologicas Innovalia (ES); Universite Pierre Et Marie Curie (FR) FON Wireless Ltd (UK); Avea Iletisim Hizmetleri AS (TR); Centro Ricerche FIAT (IT)
Description The MOTO project proposes to design, dimension, implement, and evaluate a new network architecture in support of dynamic traffic offloading strategies to relieve a congested 4G/LTE network, in order to support the booming demand in mobile 4G data services. Going far beyond present infrastructure based offloading approaches, MOTO explores an additional layer of disruptive offloading protocols that make use of direct terminal-to-terminal communications.
MOTO definitely takes an operator point of view to opportunistic networking by keeping terminal based offloading under the control of the operator’s infrastructure. It explores and evaluates distributed offloading control protocols, it investigates coordination strategies between mobile and broadband Internet operators, it designs and implements a distributed trust and security policy, it derives formal capacity enhancements estimates and works toward understanding mobility and contact opportunities.
MOTO adopts an experimental methodology, providing enhancements to an open source simulation environment, and carrying out practical experimentations on an operator's large scale integrated test bed for architecture and protocol validation. The operators’ vision, requirements, and experience are backed by a strong team of experts in wireless networking technologies both from academia and industry.
Thanks to MOTO offloading solutions, the operators will decide how much bandwidth to allocate for supporting crowds of users sharing data hungry services in a flexible and efficient way, and will be able to handle peaks of traffic without over provisioning the infrastructure and without blocking the service to its users.
In practice, this architecture is promised to offer many other advantages in addition to reducing load on operators’ infrastructures:
Reduce communication delays by pushing the information closer to users. Indeed, downloading data from geographically close neighbours can considerably reduce delays;
Exploit “social” information to build, maintain, and adapt the constructed ad hoc networks. It is clear that users present at the same event in the same time-share at least one common interest;
Reduce energy consumption by limiting redundant traffic on the infrastructure and by allowing communication among nearby peers (reduced transmission powers).