A Monitoring Network for Spectrum Governance

Schiphorst, Roel; Slump, Cornelis H.

doi:10.1515/freq.2010.64.11-12.236

Cited by 4 publications

(4 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, we merge the sub-bands per operator for 1 The list with mobile network operators is based on the situation in the year 2006. At that time five operators were active in the GSM bands.…”

Section: Spectrum Usage Analysismentioning

confidence: 99%

See 1 more Smart Citation

Initial results of a new mobile spectrum occupancy monitoring network

Bloem

Schiphorst

Slump

2010

2010 17th IEEE Symposium on Communications and Vehicular Technology in the Benelux (SCVT2010)

View full text Add to dashboard Cite

In this paper we present results of the new monitoring network for spectrum governance. The network is based on the RFeye system of CRFS where the data is collected employing mobile monitoring vehicles. The measurement data, obtained from a frequency sweep between 10 MHz and 6 GHz, is further analyzed. For this purpose a tool is made, tailored for the needs of the spectrum regulator. Initial results are presented based on the measurement data showing the spectrum occupancy of various Dutch operators in the GSM downlink bands for different geographical areas. In addition, the statistics are provided with respect to the in-band power variation.

show abstract

Section: Spectrum Usage Analysismentioning

confidence: 99%

“…Traditional tasks of the spectrum regulator include minimizing interference and locating (illegal) interferers, such as FM radio pirate transmissions [1]. In many countries a fixed network infrastructure of monitoring sites is used to monitor the spectrum.…”

Section: Introductionmentioning

confidence: 99%

Initial results of a new mobile spectrum occupancy monitoring network

Bloem

Schiphorst

Slump

2010

2010 17th IEEE Symposium on Communications and Vehicular Technology in the Benelux (SCVT2010)

View full text Add to dashboard Cite

show abstract

“…UMTS, since mobile vehicles can approach very close to the actual users. Therefore it can experience the same spectrum as the users, where fixed monitoring sites typically measure the spectrum at a height of 50m (see [4]). Using the mobile monitoring network, the spectrum occupancy/usage is assessed using spectrum sensing techniques.…”

Section: Introductionmentioning

confidence: 99%

An eigenvalue approach to enhance energy detection in a mobile spectrum monitoring network

Bloem

Hendrikse

Schiphorst

et al. 2011

2011 5th International Conference on Signal Processing and Communication Systems (ICSPCS)

Self Cite

View full text Add to dashboard Cite

For fulfilling new tasks of the regulator, we propose a novel mobile spectrum monitoring network. The huge amount of measurement data contains besides thermal noise also noise induced by the Automatic Gain Control (AGC). As a result the occupancy results based on normal energy detection are significantly biased. In order to assess the spectrum occupancy more accurately, we employ an eigenvalue based technique to eliminate AGC noise components. This technique, using singular value decomposition, enables signal space analysis based on the received spectral data by finding an optimal threshold. In addition, this technique allows to eliminate non-linear noise induced by the AGC. In this paper we apply this method to the UMTS downlink band using collected data of a mobile measurement system. The results indicate that spectrum occupancy can be assessed 21% more accurate compared to an ITU-based method.

show abstract

“…Traditional tasks of the spectrum regulator include minimizing interference and locating (illegal) interferers, such as FM radio pirate transmissions [28]. In many countries a fixed network infrastructure of monitoring sites is used to monitor the spectrum.…”

Section: Introductionmentioning

confidence: 99%

Coexistence of spectrum sensing of IEEE 802.11 systems for cognitive radio applications

Bloem¹

View full text Add to dashboard Cite

Most of today's short range wireless communication is based on the IEEE 802.11 standard, also referred to as Wi-Fi, which has been developed to exchange data using a certain portion of radio spectrum. However, many of today's new technologies, such as Wi-Fi, have been allocated to unlicensed spectrum bands while spectrum is scarcely available and therefore needs to be used efficiently. Nowadays, a vast majority of the Wi-Fi systems operates in the license-exempt 2.4 GHz ISM band that becomes more and more crowded due to the growing usage of Wi-Fi. On top of that, a growing number of non Wi-Fi technologies become active in this band as well. In this thesis the coexistence of Wi-Fi systems with other technologies is addressed to deal with congestion and interference issues. The focus is on spectrum sensing and detection techniques, that can be used by cognitive radio applications, to enhance the coexistence of Wi-Fi systems in the ISM band. The improvement in coexistence can be achieved through the detection of both interference sources and congestion mechanisms which in turn can assist in a more efficient usage of the radio spectrum. In addition, improvements can be made on the monitoring side to assess the spectrum usage better and thus more precisely by minimizing the influences of the measurement equipment on the observation data.First, we investigate spectrum sensing for monitoring short-range wireless technologies. We show the value of using mobile spectrum monitoring equipment and results are presented concordantly. Additionally the impact of Automatic Gain Control (AGC), an essential building block in spectrum monitoring receivers, is investigated in order to enhance spectrum sensing performance. By doing so, techniques are developed and applied to remove the AGC influences from the monitoring spectrum data. The results show that interference due to the AGC could lead to an overestimation of the actual spectrum usage by 60% in the 2.4 GHz ISM band.Secondly, the influence of interference on Wi-Fi systems has been investigated. This entails respectively interference due to non Wi-Fi technologies and co-channel interference due to overlapping Wi-Fi systems.A measurement tool has been developed to assess spectrum utilization and to measure the congestion simultaneously. The obtained results show the inefficient use of the wireless medium due to a large amount of transmission overhead which may lead to only 21% of actual data content transmitted in highly congested areas.Thirdly, the alternative use of Wi-Fi communication in the licensed UHF/VHF bands has been investigated to alleviate the congestion and interference issues in the ISM band and to access the large amount of additional available bandwidth. The operation of Wi-Fi systems in these bands is considered to be allowed under iv the condition of secondary use, i.e. avoiding interference to users with the primary rights (e.g. TV-broadcasting stations). Recently the IEEE 802.11af standard has been set up, based on cognitive radio, to provide Wi-Fi access by...

show abstract

A Monitoring Network for Spectrum Governance

Cited by 4 publications

References 26 publications

Initial results of a new mobile spectrum occupancy monitoring network

Initial results of a new mobile spectrum occupancy monitoring network

An eigenvalue approach to enhance energy detection in a mobile spectrum monitoring network

Coexistence of spectrum sensing of IEEE 802.11 systems for cognitive radio applications

Contact Info

Product

Resources

About