Читать книгу Dynamic Spectrum Access Decisions - George F. Elmasry - Страница 113

Although the concept of local, distributed, and centralized spectrum sensing decision exists with 5G, one can see how it can differ from the military network examples used in Part 1 of this book. One can also see how the hybrid DSA design can be different in some aspects while others stay the same. Aspects that stay the same include sensing in geographically distributed locations, creating the framework for hierarchical fusions, and sharing of spectrum sensing information in a combined distributed and centralized manner when possible. The aspect of making DSA a cloud service with well‐studied metrics that can be used to evaluate DSA services in real time and in post processing is also common between the many DSA cases.

5G gives the service provider many flexibilities in managing the infrastructure. One can expect a diverse set of DSM techniques to be present in different services providers' networks. However, there is a common theme in these optimization approaches where metrics are used and cognitive techniques are used to approach optimality of spectrum assignment. Relying on a good model for spectrum sharing and using expressive metrics to measure performance is always needed. Also, all service providers are likely to approach DSM as an IaaS set of cloud services, as explained in Chapter 5. One can expect that any service provider approach will have to be hybrid in one way or another and will have to morph based on deployment constraints and real‐time measurements.

In some aspects, DSA for military networks may seem easier than commercial 5G, but the expected use of commercial technologies within military communications systems can complicate military network DSA decisions. The push for military networks to use unlicensed spectrum is another factor that can make military system DSA techniques more challenging.

This chapter presented a sample of DSM techniques for 5G. There is a wealth of literature sources for 5G DSM that further explain the developing of mathematical models for DSM, explain the implementation of these mathematical models, and present optimization techniques in the DSA cognitive engine implementation and MIMO antenna design that can aid DSM optimization techniques. This chapter focused on the core aspects of 5G DSM.