Aerospace and Electronic Systems Magazine May 2018 - 54

Enabling RF Data Analytics Services and Applications via Cloudification

Figure 10.

Averaged values (no interference).

Recently, research has focused on engineering, design, and
other considerations that could be used to limit EME and the rise
of the GBN floor. The primary effect of higher GBN is deterioration of the SNR, which could lead to reduced throughput or even
blocking of the reception of the desired radio signals. This leads
to reduced coverage area or transmission distance from the transmitter to associated receiver(s) for acceptable quality of signal or
reliability of operation. To alleviate this, for many radio services,
it would require more or higher-powered transmitters to achieve
the desired or necessary coverage, with the possibility of further
raising the noise floors in an increasing spiral. Another option is increasing the number of transmission sites and a consequent impact
on the availability of frequency assignments. However, the resulting higher intrinsic level of GBN requires greater power levels for
desirable services, resulting in higher GBN floor, intermodulation
products, and increasing the likelihood of interference. For these
reasons, we consider that implementing RF analytics services and
applications related to the analysis of EME and GBN at various
locations, especially in densely populated urban areas, may assist
in predicting and avoiding such effects.
As mentioned before, there is also a health concern despite the
fact that at the national and international level, there are guidelines
to protect the general public from EME. The increasing demand
for personal communication systems leads to densification and
a constant increase in the number of radio BSs to assure higher
throughput and complete radio coverage of the territory for a greater number of users. At the same time, people have become more
sensitive to the problem of possible hazards due to EM pollution
and consider BSs dangerous for human health. Even though no
scientific evidence of any relationship between EM fields and human diseases has been shown, all precautionary measures against
an uncontrolled increase of EME and GBN levels must be taken.
Note that at least in developed countries legislative documents exist, and strict control is applied in relation to the allowable limits for EM fields in different frequency ranges. All this leads to a
54

strong support for the necessity of creating methods for estimation,
prediction, optimization, and reduction of EME and GBN. Thus, it
is obvious that besides purely scientific research, the RF data analytics services and application aspects can have a corresponding
public impact. The results from RF data analysis and the enhancement of novel RF data analytics services and applications could
be a major instrument to relieve the public of the fear from the
potential influence of EM radiation and for optimizing EME and
GBN to ensure a healthy environment for human beings and other
living organisms.

CONCLUSION
In this article, we describe a collaborative cloud-based platform
for the implementation of RF data analytics. Through the platform, RF data can be collected and stored, allowing different
types of RF clients to be connected, and in this way, sharing RF
data and different algorithms and algorithm implementation, ser-

Figure 11.

Merged data from RF clients placed at different locations in a given area.

IEEE A&E SYSTEMS MAGAZINE

MAY - JUNE 2018

Table of Contents for the Digital Edition of Aerospace and Electronic Systems Magazine May 2018