Initial results of a new mobile spectrum occupancy monitoring network

Bloem, Jan-Willem van; Schiphorst, Roel; Slump, Cornelis H.

doi:10.1109/scvt.2010.5720468

Cited by 2 publications

(3 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In addition, we set up a database system to efficiently access the vast amount of data using a designed GUI tool (see figure 1). More information about respectively the tool and database, can be found in [3]. Note that for all the monitoring measurements that were carried out, the AGC is turned on.…”

Section: A Monitoring Equipmentmentioning

confidence: 99%

“…The requirement to change the traditional spectrum governance approach gives rise to a new monitoring network which should be able to meet these new tasks. Hence, a mobile monitoring network is considered, as described in [3], so that the spectrum usage can be monitored efficiently where the network consists of mobile vehicles equipped with a monitoring system which is able to measure the frequency spectrum up to 6 GHz. The monitoring measurement equipment is designed to provide a cost-effective system that can provide continuous, 24/7 monitoring of the radio spectrum.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

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)

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

Section: A Monitoring Equipmentmentioning

confidence: 99%

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)

View full text Add to dashboard Cite

show abstract

“…To monitor the radio spectrum usage in this band, we consider the RFeye mobile spectrum monitoring equipment of CRFS [36]. The mobile monitoring system can be built into vehicles to continuously measure spectrum usage on a country-wide scale while driving [43]. However, in a number of areas (very close to high power transmitters, e.g.…”

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

Initial results of a new mobile spectrum occupancy monitoring network

Cited by 2 publications

References 13 publications

An eigenvalue approach to enhance energy detection in a mobile spectrum 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