Autonomic Intelligence Evolved Cooperative Networking

Chapter 3Protocol Level Spatio-Temporal Processing

3.1 Introduction

Following the rationale behind the autonomically driven cooperative design established in the previous chapter, where a specific umbrella was created with the intention to encompass all the architectural considerations to be outlined across the entire book, the time has come to commence the rollout thereof with the foundations related to protocol level spatio-temporal processing. To this end, first of all, the emphasis is laid on the bottom-most multiple-input multiple-output channel conditioned developments, to provide a good understanding of their workings, and especially to put them in the correct context before they can be properly integrated into the Autonomic Cooperative Networking Architectural Model. Thus, the diversity-rooted origins of the approach based on multiple-input multiple-output technology are discussed, so that it is possible to clearly justify the role of and necessity for the later deployment of spatio-temporal processing enabled techniques on top of it. Before the focus is shifted, however, the question of radio channel virtualisation is addressed, where the singular-value decomposition theorem is explained in order to introduce the notion of an equivalent virtual multiple-input multiple-output radio channel to be deployable among Autonomic Cooperative Nodes. The radio channel capacity is then brought into the bigger picture of the whole analysis to account for its linear scaling with ...