Machine learning proof Access

نویسندگان

  • Christophe Moy
  • Rodolphe Legouable
چکیده

The set of 5G requirements show that future radio systems should answer to network capabilities in terms of : capacity, spectrum for future evolutions, fixed-mobile convergence, integration of 3GPP and and robustness, cost efficiency, etc. In parallel, new user experiences area, from static to high-speed-throughput per user/ application, E2E to the need of new enablers for business as: Internet of Things (IoT), V2V communications. This ecosystem points out that Opportunistic Spectrum 5G network optimization. The telecommunication community is working on the at the Horizon 2020 (H2020). This future system would answer to the incr traffic issued from the new services (3D TVHD, gaming, virtual reality, smart cities, e and new user experiences. Connectivity should be possible at Any Time, Any Where and Any Device (ATAWAD). Thus, 5G should allow a set • higher capacity • higher spectrum efficiency • spectrum agility • low power consumption • Higher network coverage • flexibility for future evolutions • fixed-mobile convergence • integration of 3GPP and non 3GPP RATs • resilience and robustness • cost efficiency • support for high down-to very low bit Sometimes, some answers to fulfill all these requirements are system's capacity with higher coverage without increasing the transmit power seems So, the system optimization has to be considered in general. Spectrum is one of the key issues expensive. 5G requirements show that future radio systems should answer to network capabilities spectrum efficiency, spectrum agility, low power consumption mobile convergence, integration of 3GPP and non 3GPP RATs, resilience , etc. new user experiences will appear such as: homogenous experience over the coverage-trains velocity, from outdoor to deep-indoor and hroughput per user/ application, E2E i latency of a few ms, connectivity transparency to the need of new enablers for business as: Internet of Things (IoT), V2V ii , D2D Opportunistic Spectrum Access should play a telecommunication community is working on the definition of future 5G that should take place at the Horizon 2020 (H2020). This future system would answer to the increase in mobile data issued from the new services (3D TVHD, gaming, virtual reality, smart cities, e and new user experiences. Connectivity should be possible at Any Time, Any Where and Any Device (ATAWAD). Thus, 5G should allow a set of requirements such as: higher spectrum efficiency Higher network coverage flexibility for future evolutions mobile convergence integration of 3GPP and non 3GPP RATs resilience and robustness to very low bit-rates ulfill …

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Similarity measurement for describe user images in social media

Online social networks like Instagram are places for communication. Also, these media produce rich metadata which are useful for further analysis in many fields including health and cognitive science. Many researchers are using these metadata like hashtags, images, etc. to detect patterns of user activities. However, there are several serious ambiguities like how much reliable are these informa...

متن کامل

Machine Learning in Proof General: Interfacing Interfaces

We present ML4PG — a machine learning extension for Proof General. It allows users to gather proof statistics related to shapes of goals, sequences of applied tactics, and proof tree structures from the libraries of interactive higher-order proofs written in Coq and SSReflect. The gathered data is clustered using the state-of-the-art machine learning algorithms available in MATLAB and Weka. ML4...

متن کامل

Opportunistic Spectrum Access Learning Proof of Concept

This paper presents the results of first ever implementation of learning algorithm for opportunistic spectrum access (OSA) in lab conditions. The OSA scheme consists of two USRP N210 platforms, one acting as primary users of a primary network and another as secondary user. Primary user network generates carriers with a pre-defined probability of occupancy through an OFDM modulation scheme imple...

متن کامل

Towards Proof Synthesis Guided by Neural Machine Translation for Intuitionistic Propositional Logic

Inspired by the recent evolution of deep neural networks (DNNs) in machine learning, we explore their application to PL-related topics. This paper is the first step towards this goal; we propose a proofsynthesis method for the negation-free propositional logic in which we use a DNN to obtain a guide of proof search. The idea is to view the proof-synthesis problem as a translation from a proposi...

متن کامل

Small Stochastic Average Gradient Steps

The stochastic average gradient (SAG) method was the first of its kind achieving linear convergence based on cheap-to-evaluate stochastic gradients. As such it established a milestone of optimization techniques for machine learning. In the few years since its inception is has spawned a large amount of related work. In this short paper we analyze the behavior of the SAG algorithm when operated i...

متن کامل

A Survey of Axiom Selection as a Machine Learning Problem

Automatic theorem provers struggle to discharge proof obligations of interactive theorem provers. This is partly due to the large number of background facts that are passed to the automatic provers as axioms. Axiom selection algorithms predict the relevance of facts, thereby helping to reduce the search space of automatic provers. This paper presents an introduction to axiom selection as a mach...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2014