LITMIR.BIZ

      1 Following the examples of DSA cognitive engine threads in Section 5.2, draft some DSA cognitive engine threads that can be added to the threads explained in Section 5.2.

      2 Following the examples of DSA cloud metrics in Section 5.3, draft the details of the DSA metric of control traffic volume divided into two sub‐metrics, one for upward control traffic and one for downward.

      1 CSCC, Practical Guide to Service Level Agreements Version 1.0, April 2015. Available at: https://www.omg.org/cloud/deliverables/CSCC-Practical-Guide-to-Cloud-Service-Agreements.pdf.

      2 Cloud Computing Service Metric Description, US Department of Commerce, Publication 500‐307, NIST, April 2018.

      3 Evaluation of Cloud Computing Services Based on NIST SP 800‐145, US Department of Commerce, Publication 500‐322, NIST, February 2018.

      4 ISO/IEC 20926:2009, Software and systems engineering – Software measurement. IFPUG functional size measurement method, 2009.

      5 Kushagra, K. and Dhingra, S., Modeling the Ranking of Evaluation Criteria for Cloud Services. International Journal of Electronic Government Research, vol. 14, pp. 64, 2018.

      6 Polash, F., Abuhussein, A., and Shive, S., A survey of cloud computing taxonomies: Rationale and overview. 9th International Conference for Internet Technology and Secured Transactions 2014, pp. 459–465, 2014.

      7 Ramachandran, M. and Mahmood, Z., Requirements Engineering for Service and Cloud Computing. Springer, 2017. ISBN 978‐3‐319‐51309‐6.

      8 Siegel, J. and Perdue, J., Cloud Services Measures for Global Use: The Service Measurement Index (SMI). Service Research & Innovation Institute (SRII) Global Conference, IEEE, San Jose, CA, July 24–27, 2012.

      9 The NIST Definition of Cloud Computing, US Department of Commerce, Special Publication 800‐145, NIST, September 2011.

      1 1 An entity is a network node, a gateway or the central arbitrator, as explained later in this chapter.

      2 2 Most of the spectrum access systems (SASs) developed for the citizens broadband radio service (CBRS) in the USA, which operate around the 3.5 GHz band, offer DSA as a set of cloud services. CBRS allows enterprises to build their own LTE networks and share the band with the LTE cellular infrastructure.

      3 3 Interference detection can be an outcome of decision fusion. As explained earlier, hypothesizing interference by a sensor at any time instant does not necessarily lead to interference detection. Fusion of many hypotheses that may come from different sensing sources is what produces a decision that interference is above a certain threshold, which requires new frequency assignment.

      4 4 In military communications, all lower echelon networks are wireless MANETs. These wireless networks can be lower tier waveforms with small spectrum footprint and upper tier networks with large spectrum footprint.

      5 5 The correct term to use here is frequency band not frequency. A frequency band is defined by a central frequency and bandwidth. The term frequency is used throughout this book loosely to mean a frequency band a network is operated with in order to differentiate an operational frequency band used by a network from the known defined frequency bands such as the HF band, the VHF band, and the UHF band.

      6 6 Many decision fusion techniques use heuristic algorithms because reaching an optimum solution for a large number of networks and a large number of nodes within each network can be too computationally extensive to produce timely DSA services. Reducing the order of computational complexity is beyond the scope of this book.

      7 7 Notice that considering control traffic volume impact is not simple or straightforward. A DSA design approach can add more control traffic but in the meantime makes the use of spectrum resources much more efficient. Such design is better than lowering the control traffic volume at the expense of reducing the efficiency of spectrum resources use. Although one can use a metric to measure control traffic, this metric's impact comes secondary to the metrics that measure throughput efficiency.

      8 8 Chapter 8 explains how co‐site interference avoidance can be another DSA cloud service.