We present two efficient iterative receiver structures of tractable complexity for joint multiuser detection and multichannel estimation (JDE) direct-sequence code-division multiple-access signals. The schemes result from an application the expectation-maximization (EM) space-alternating generalized (SAGE) algorithms, respectively. EM-JDE updates data bit sequences in parallel, while SAGE-JDE reestimates them successively. channel parameters are updated parallel both schemes. EM algorithm...

OPNET has been widely used as a network simulator, but not much emphasis given on the performance of this simulator for ZigBee wireless sensor networks (WSN). Simulation WSNs is challenging task due to nature hardware design, energy limitations, and deployment vast number nodes. An inclusive study analysis QoS evaluation protocol within different WSN topologies routing schemes presented here. Based simulation results paper can be considered guide researchers in evaluating modeler Zigbee...

The technological level of greenhouse cultivation, especially in the Mediterranean countries such as Italy, Turkey, Greece and Spain, is low, despite protected crops are considerable importance both for extension production fresh foodstuffs exported ornamental plants. project "HouseGarden High Tech" intends to increase technologies cultures by creation an integrated network sensors automation technologies, controlled ICT (Information Communication Technologies) approach, agronomic...

This paper follows an integrated approach of Internet Things based sensing and machine learning for crop growth prediction in agriculture. A Dynamic Bayesian Network (DBN) relates associated measurement data to environmental control via hidden states. The data, having (non-linear) sigmoid-type dynamics, are instances the two classes observed missing, respectively. Considering that time series logistic sigmoid function is solution a reciprocal linear dynamic model, exact...

This paper deals with the derivation and optimization of an iterative receiver architecture performing joint multiuser decoding channel estimation. We consider asynchronous multirate convolutional coded DS-CDMA system that communicates over quasi-static flat Rayleigh fading channels. The proposed is derived within space-alternating generalized expectation-maximization (SAGE) framework in connection noise-splitting approach. used theoretical guarantees convergence receiver, as opposed to many...

Internet of Things (IoT) has become omnipresent in many applications, such as healthcare, vehicles, and precision farming. They sense data from dozens sensors scheduled periodically a synchronous fashion on mobile CPUs that are forwarded to the cloud or other IoT devices via an essentially stochastic wireless channel. Hence, task response time becomes stochastic, preventing optimization at compile time. On hand, knowing along with jitter, availability, scalability is crucial ensure certain...

ABSTRACTProgress in Information and Communication Technologies (ICT) can make a real difference the quality-of-life of persons with Autism Spectrum Disorder (ASD) by acting on several aspects, from customized software for communication, to emotion recognition, social behavior also provide systems observation wide spectrum manifestations, ease diagnosis, support therapy, monitor improvement growth children ASD. This has been achieved introduction large number innovative technologies, spanning...

This paper presents a novel software radio implementation for joint channel estimation, data decoding, and noise variance estimation in multiple-input multiple-output (MIMO) space division multiple access (SDMA). In contrast to many other iterative solutions, the proposed receiver is derived within theoretical framework of unified message-passing algorithm, combining belief propagation (BP) mean field approximation (MF) on corresponding factor graph. The algorithm minimizes region-based...

Precision farming is one way of many to meet a 55 percent increase in global demand for agricultural products on current land by 2050 at reduced need fertilizers and efficient use water resources. The catalyst the emergence precision has been satellite positioning navigation followed Internet-of-Things, generating vast information that can be used optimize processes real-time. Statistical tools from data mining, predictive modeling, machine learning analyze patterns historical data, make...

In this paper we propose an extension of the space alternating generalized expectation maximization (SAGE) algorithm that accepts as input and provides output soft information. This so-called soft-input soft-output (SISO) SAGE is applied to joint successive interference cancellation channel estimation combined with SISO single-user decoders in iterative CDMA receiver. Monte Carlo simulations flat Rayleigh fading show receiver robust against errors can support a high system.

This paper proposes a novel, interactive telemedicine platform, providing real-time audio and video interactions among patients, physicians health service provider. Such system has been developed within the framework of European Space Agency (ESA) project TElemedicine Services for HEALTH (TESHEALTH) in collaboration industry, academia, hospitals. In particular, project, all citizens from many different sites have same opportunity to access services promoting disease prevention healthy life...

The successful treatment of hearing loss depends on the individual practitioner's experience and skill. So far, there is no standard available to evaluate testing skills. To assess every practitioner equally, paper proposes a first machine, dubbed artificial patient (AP), mimicking real with impairment operating in time environment. Following this approach, we develop multiple-input multiple-output auditory model that synthesizes various types as well elements from psychoacoustics such false...

We present a method of tractable complexity for joint data detection and channel estimation DS/CDMA signals. The scheme results from an application the SAGE algorithm. Monte Carlo simulations synchronous scenario show that is near-far resistant it robust against errors parameters. Moreover, very short training sequences are required to converge. Simulation further demonstrate better performance obtained when users' bit cyclically updated in order increasing strength signals at output...

An iterative receiver for joint multiuser-decoding and channel-estimation of coded CDMA is derived by applying the noise-splitting approach within space alternating generalized expectation-maximization (SAGE) framework. We consider asynchronous single-rate DS/CDMA over flat Rayleigh fading channels. The resulting structure comprises partial successive interference-cancellation (SIC), channel estimation, soft-input/hard-output maximum likelihood sequence decoding (MLSD) each user....