Distributed Artificial Intelligence Solution for D2D Communication in 5G Networks
نویسندگان
چکیده
منابع مشابه
An Incentive-Aware Lightweight Secure Data Sharing Scheme for D2D Communication in 5G Cellular Networks
Due to the explosion of smart devices, data traffic over cellular networks has seen an exponential rise in recent years. This increase in mobile data traffic has caused an immediate need for offloading traffic from operators. Device-to-Device(D2D) communication is a promising solution to boost the capacity of cellular networks and alleviate the heavy burden on backhaul links. However, dir...
متن کاملImproving Qos for D2d Communication in 5g Scenario
D2D communication motor-assisted by a cellular network brings the advantage of the proximity of wireless devices to boost reusing resources between D2D and cellular UEs, and imparts any rewards of hop gain. 3GPP started a study item on proximity-based services in D2D. SAE design for a D2D network, which incorporates the core and access, the protocol stack for D2D communication and completely di...
متن کاملDistributed Artificial Intelligence for Distributed Corporate
We present a multi-agents architecture that was built and tested to manage a corporate memory based on the semantic Web technologies.
متن کاملDistributed Artificial Intelligence
Distributed artificial intelligence (DAI) has emerged as a powerful paradigm for representing and solving complex problems. The growth of this field has been spurred by the advances in distributed computing environments and wide spread information connectivity. Although DAI started as a branch of artificial intelligence over twenty-five years ago, it has emerged as an independent research disci...
متن کاملArtificial neural networks for artificial intelligence
Artificial neural networks now have a long history as major techniques in computational intelligence with a wide range of applications for learning from data. There are many methods developed and applied so far, from multiplayer perceptrons (MLP) to the recent ones being deep neural networks and deep learning machines based on spiking neural networks. The paper addresses a main question for res...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Systems Journal
سال: 2020
ISSN: 1932-8184,1937-9234,2373-7816
DOI: 10.1109/jsyst.2020.2979044