Publications depuis 2008

Vous pouvez retrouver les publications du laboratoire depuis 2008 sur le site des archives ouvertes du CNRS, et utiliser le moteur de recherche pour accéder à une publication particulière (onglets "Consultation" ou "Recherche simple").

Les publications des équipes depuis 2008 peuvent être également consultées à partir des liens suivants :

Publications antérieures à 2008

Les publications plus anciennes se trouvent à cette adresse.

Nos dix dernières publications

[hal-02869457] Spectral and Energy Efficient Fast-OFDM with Index Modulation for Optical Wireless Systems

This letter introduces fast-orthogonal frequency-division multiplexing (FOFDM) with index modulation (IM) based on discrete cosine transform (DCT) for optical wireless systems. For intensity-modulation and direct detection, the proposed approach realizes a real-valued intensity waveform employing real-valued one-dimensional modulation formats and DCT; and brings about non-negativity via direct current bias. [...]

[hal-01382285] Distributed stochastic optimization via matrix exponential learning

In this paper, we investigate a distributed learning scheme for a broad class of stochastic optimization problems and games that arise in signal processing and wireless communications. The proposed algorithm relies on the method of matrix exponential learning (MXL) and only requires locally computable gradient observations that are possibly imperfect and/or obsolete. [...]

[hal-02881559] Derivative-Free Optimization over Multi-User MIMO Networks

In wireless communication, the full potential of multiple-input multiple-output (MIMO) arrays can only be realized through optimization of their transmission parameters. Distributed solutions dedicated to that end include iterative optimization algorithms involving the computation of the gradient of a given objective function, and its dissemination among the network users. [...]

[hal-02861460] Fast Gradient-Free Optimization in Distributed Multi-User MIMO Systems

In this paper, we develop a gradient-free optimization methodology for efficient resource allocation in Gaussian MIMO multiple access channels. Our approach combines two main ingredients: (i) the entropic semidefinite optimization method of matrix exponential learning (MXL); and (ii) a one-shot gradient estimator which achieves low variance through the reuse of past information. [...]

[hal-01382284] Distributed learning for resource allocation under uncertainty

In this paper, we present a distributed matrix exponential learning (MXL) algorithm for a wide range of distributed optimization problems and games that arise in signal processing and data networks. To analyze it, we introduce a novel stability concept that guarantees the existence of a unique equilibrium solution; under this condition, we show that the algorithm converges even in the presence of highly defective feedback that is subject to measurement noise, errors, etc. [...]

[hal-02886379] Modeling uncertainty-seeking behavior mediated by cholinergic influence on dopamine

Recent findings suggest that acetylcholine mediates uncertainty-seeking behaviors through its projection to dopamine neurons — another neuromodulatory system known for its major role in reinforcement learning and decision-making. In this paper, we propose a leaky-integrate-and-fire model of this mechanism. [...]

[hal-02879941] HSDN-GRA: a Hybrid SDN-based Geographic Routing Protocol with Multi-agent Approach


[hal-02887550] MICN: a network coding protocol for ICN with multiple distinct interests per generation

In Information-Centric Networking (ICN), consumers send interest packets to the network and receive data packets as a response to their request without taking care of the producers, which have provided the content, contrary to conventional IP networks. ICN supports the use of multiple paths; however, with multiple consumers and producers, coordination among the nodes is required to efficiently use the network resources. [...]

[hal-02882103] Understanding the Performance of Software Defined Wireless Sensor Networks Under Denial of Service Attack

Wireless sensor networks (WSN) are formed from restricted devices and are known to be vulnerable to denial of service (DoS) security attacks. In parallel, software-defined networking has been identified as a solution for many WSN challenges with respect to flexibility and reuse. [...]

[hal-02880603] Authenticated Secret Key Generation in Delay Constrained Wireless Systems

With the emergence of 5G low latency applications , such as haptics and V2X, low complexity and low latency security mechanisms are needed. Promising lightweight mechanisms include physical unclonable functions (PUF) and secret key generation (SKG) at the physical layer, as considered in this paper. [...]