Future of wireless communication: RadioApps and related security and radio computer framework

Mueck, Markus; Ivanov, Vladimir; Choi, Sangdun; Kim, June; Ahn, Chiyoung; Yang, Hyunwook; Baldini, Gianmarco; Piipponen, Antti

doi:10.1109/mwc.2012.6272418

Cited by 12 publications

(3 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Thus, this system based on predicting the abnormal heart rate and dosage level of medicine intake by the patient [27] using the Bayesian algorithm. The patient will be continuously monitored by the hospital network [22] and thus if abnormalities found the system send warning message to the patient's relatives via mobile phone and also help them to track their location.…”

Section: Resultsmentioning

confidence: 99%

A Novel Based Algorithm for the Prediction of Abnormal Heart Rate Using Bayesian Algorithm in the Wireless Sensor Network

Ganesan¹,

Kumar²,

Lalitha³

et al. 2015

Proceedings of the 2015 International Conference on Advanced Research in Computer Science Engineering &Amp; Technology (ICARCSE

View full text Add to dashboard Cite

In this paper, we describe about the wireless sensor networks (WSN) in which are used to monitor the physical conditions and co-operatively send the messages of the sensor to the main location. The existing system has been focused on detecting abnormal heart rate by placing the sensor on the pacemaker during bypass surgery. If any abnormalities found, then the warning message has been sent to the patient's relatives. But the issues in the system are, they cannot discuss about the network [41] lifetime and tracking of the patient's location. Our system helps in finding the abnormalities of heart beat rate and also medicine intake by the patient using Bayesian algorithm. The paper highlights the need of personal caring of the patient by the hospital that will reduce unnecessary delay in providing treatment to a patient. It also concentrates on the network lifetime maximization and distance metrics while moving from one network to another network.

show abstract

Section: Resultsmentioning

confidence: 99%

A Novel Based Algorithm for the Prediction of Abnormal Heart Rate Using Bayesian Algorithm in the Wireless Sensor Network

Ganesan¹,

Kumar²,

Lalitha³

et al. 2015

Proceedings of the 2015 International Conference on Advanced Research in Computer Science Engineering &Amp; Technology (ICARCSE

View full text Add to dashboard Cite

show abstract

“…5G RADIO RECONFIGURATION AND IMPACT ON DATA RATE AND POSITIONING Hereafter, we consider a reconfigurable 5G radio where, for instance, signal and antenna radiation patterns are reconfigurable by RadioApps [10]. More specifically, we focus on orthogonal frequency-division multiplexing (OFDM) waveform reconfiguration [11] and electronically reconfigurable arrays as they are potential candidates for future 5G systems [12].…”

Section: Performance Metricsmentioning

confidence: 99%

Reconfiguration of 5G radio interface for positioning and communication

Saloranta

Destino

2017

2017 25th European Signal Processing Conference (EUSIPCO)

View full text Add to dashboard Cite

Abstract-In addition to high data rate, millimeter-wave technology has great potential to provide extremely high localization accuracy. In this paper, we outline the benefits of this technology for positioning and their main applications, which are no longer confined to services only but also to improve communication. We shall focus on the trade-off between data communication and positioning looking the reconfiguration mechanisms of the radio interface. Specifically, in this paper we investigate a tradeoff between achievable data rate and positioning capability via position and rotation error bound analysis, with the aim of achieving an optimal trade-off. I. INTRODUCTIONOne of the key innovations of 5G communication, the next generation of mobile networks, is considered to be millimeter wave (mmW). Many research studies as well as 5G prototypes [1] are looking into this new technology in order to understand and verify its real rendering capabilities. [2] In contrast to the predecessor Long Term Evolution (LTE) technology, the 5G has to address a large variety of application requirements spanning from extremely high data rate and accurate positioning capabilities to ultra-reliable communications as well as very low-latency. For this reason the development of flexible and reconfigurable radios (signal waveforms, hardware and transmission techniques) is a key for success as it can enable agile and efficient service multiplexing. [3], [4] One of the most established technology towards this trend is the beamsteering functionality, [5] which has proven capabilities to provide higher data rates, as well as improved positioning accuracies. On the other hand, to achieve full capabilities of proposed future communication systems, the requirement to adjust all aforementioned radio reconfiguration parameters is clear.Furthermore, direct corollary of very different requirements, risen by variety of different applications, is the trade-offs between performance metrics. Then, each performance metric is a function of a different set of radio parameters. Thus a joint analysis is a requisite to have a clear insight into the overall performance of the communication system.The remainder of this article is organized as follows. First, we present the mmW single-user multiple-input-multipleoutput (MIMO) communication system. We continue by introducing the radio reconfiguration parameters under this study, formulate the performance metrics as well as provide light analysis about the effect of those parameters. We extend the analysis via simulation results. Finally, conclusions are drawn.

show abstract

“…WG2 of TC-RRS of ETSI has developed a standard architecture for reconfigurable MDs and related interfaces with the intention that any desired Radio Access Technologies (RATs) can be realized in a reconfigurable MD by downloading the target RA code from the public domain, for example, the RadioApp Store [16], regardless of the hardware platform of the MD. This section introduces a brief summary of the standard architecture and related interfaces based on which a systematic procedure is developed in the following section in such a way that the software entities in the reconfigurable MD interact with one another for implementing the LSA.…”

Section: Architectural Model For Reconfigurable MDmentioning

confidence: 99%

ETSI-Standard Reconfigurable Mobile Device for Supporting the Licensed Shared Access

Kim¹,

Jin²,

Kum³

et al. 2016

Mobile Information Systems

Self Cite

View full text Add to dashboard Cite

In order for a Mobile Device (MD) to support the Licensed Shared Access (LSA), the MD should be reconfigurable, meaning that the configuration of a MD must be adaptively changed in accordance with the communication standard adopted in a given LSA system. Based on the standard architecture for reconfigurable MD defined in Working Group (WG) 2 of the Technical Committee (TC) Reconfigurable Radio System (RRS) of the European Telecommunications Standards Institute (ETSI), this paper presents a procedure to transfer control signals among the software entities of a reconfigurable MD required for implementing the LSA. This paper also presents an implementation of a reconfigurable MD prototype that realizes the proposed procedure. The modem and Radio Frequency (RF) part of the prototype MD are implemented with the NVIDIA GeForce GTX Titan Graphic Processing Unit (GPU) and the Universal Software Radio Peripheral (USRP) N210, respectively. With a preset scenario that consists of five time slots from different signal environments, we demonstrate superb performance of the reconfigurable MD in comparison to the conventional nonreconfigurable MD in terms of the data receiving rate available in the LSA band at 2.3–2.4 GHz.

show abstract

Future of wireless communication: RadioApps and related security and radio computer framework

Cited by 12 publications

References 4 publications

A Novel Based Algorithm for the Prediction of Abnormal Heart Rate Using Bayesian Algorithm in the Wireless Sensor Network

A Novel Based Algorithm for the Prediction of Abnormal Heart Rate Using Bayesian Algorithm in the Wireless Sensor Network

Reconfiguration of 5G radio interface for positioning and communication

ETSI-Standard Reconfigurable Mobile Device for Supporting the Licensed Shared Access

Contact Info

Product

Resources

About