Radio Spectrum Occupancy Measurement from 30MHz-1030MHz in Pakistan

Cognitive radio (CR) technologies can be used to harvest unoccupied spectrum bands to meet the growing data rate demands of many emerging Internet of Things (IoT) and smart grid applications. In Pakistan, radio spectrum from 30MHz-1030MHz has been allocated to various services including analog TV broadcasts and cellular operators. In this paper, we attempt to quantify actual spectrum usage in these bands in order to gauge the potential of CR based services. Such measurement campaigns and spectrum occupancy results are largely unavailable for Pakistan. In our survey, we study the 24 hour spectrum usage pattern with measurements taken over 10 weekday periods at our university campus in Lahore. Our results reveal that on average very large amount of spectrum remains unoccupied for most of the time at the site of our study. Radio spectrum in the range of 30MHz-174MHz showed highest variation in the utilization rate ranging from 2.56% to 95%. More than two third of the spectrum in the range of 174MHz-850MHz remained severely under-utilized in our observations. The spectrum in the range of 850MHz-1030MHz occupied by the cellular operators had relatively high minimum occupancy of 25% with an average spectrum occupancy of only 35.41%. These observations call for more efficient allocation and utilization of radio spectrum in Pakistan.

[1]  Bing Chen,et al.  Full Spectrum Sharing in Cognitive Radio Networks Toward 5G: A Survey , 2018, IEEE Access.

[2]  Marko Höyhtyä,et al.  Spectrum Occupancy Measurements: A Survey and Use of Interference Maps , 2016, IEEE Communications Surveys & Tutorials.

[3]  Kevin W. Sowerby,et al.  A Quantitative Analysis of Spectral Occupancy Measurements for Cognitive Radio , 2007, 2007 IEEE 65th Vehicular Technology Conference - VTC2007-Spring.

[4]  Jiming Chen,et al.  Design of a Scalable Hybrid MAC Protocol for Heterogeneous M2M Networks , 2014, IEEE Internet of Things Journal.

[5]  Dan McCloskey,et al.  Chicago spectrum occupancy measurements & analysis and a long-term studies proposal , 2006, TAPAS '06.

[6]  Yi-Bing Lin,et al.  EasyConnect: A Management System for IoT Devices and Its Applications for Interactive Design and Art , 2015, IEEE Internet of Things Journal.

[7]  Ayaz Ahmad,et al.  A Survey on Radio Resource Allocation in Cognitive Radio Sensor Networks , 2015, IEEE Communications Surveys & Tutorials.

[8]  Ingrid Moerman,et al.  A Survey on Hybrid Beamforming Techniques in 5G: Architecture and System Model Perspectives , 2018, IEEE Communications Surveys & Tutorials.

[9]  Haim Mazar Radio Spectrum Management: Policies, Regulations and Techniques , 2016 .

[10]  Xianming Qing,et al.  Spectrum Survey in Singapore: Occupancy Measurements and Analyses , 2008, 2008 3rd International Conference on Cognitive Radio Oriented Wireless Networks and Communications (CrownCom 2008).

[11]  Yen-Kuang Chen,et al.  Challenges and opportunities of internet of things , 2012, 17th Asia and South Pacific Design Automation Conference.

[12]  Wayes Tushar,et al.  Guaranteeing QoS Using Unlicensed TV White Spaces for Smart Grid Applications , 2017, IEEE Wireless Communications.

[13]  Ming Xiao,et al.  Spectrum Sharing for Internet of Things: A Survey , 2018, IEEE Wireless Communications.

[14]  Hüseyin Arslan,et al.  A survey of spectrum sensing algorithms for cognitive radio applications , 2009, IEEE Communications Surveys & Tutorials.