Search

Intelligent connected objects, the building blocks of IoT, represent battery supplied electronic devices. These devices are expected to be deployed in very large numbers, and manual replacement of their batteries will severely restrict their large-scale or wide area deployments. Therefore, energy efficiency is of the utmost importance in the design of the IoT devices. The wireless communication between the distributed sensor devices and the host stations can consume significant energy, even more when larger coverage is required. Ultra-low-power wake up radio (WuR) represent one of the most prominent solutions for energy efficiency in IoT. However, the WuR devices have several limitations that bound their practical applicability and usage, such as short range capabilities and low signal sensitivity. As a result, the WuR devices commonly misinterpret their wake up address and inevitably lead to overall performance degradation of the system. This work, introduces the concept of error correction codes in the wake up address. It is envisioned that the error correction codes can increase the overall robustness and sensitivity of the WuR devices. The work also analyses the potential energy efficiency gains and the energy-latency tradeoff degradation of the WuR based IoT system when utilizing the error correction codes.

End-to-end network slicing is a novel concept based on virtualization and softwarization technology that can efficiently address the problems of legacy networks. It can leverage agile physical and network layer adaptability, and foster optimal user and system performance. These features make end-to-end network slicing suitable for scenarios such as flash crowds and emergency situations. This article presents an end-to-end network slicing framework capable of addressing the demands of flash crowd and emergency scenarios. The article provides details about these scenarios, and it introduces an end-to-end agile, flexible, and scalable wireless system architecture consisting of softwarized components that can be orchestrated to fulfill the underlying system requirements. By addressing important key performance indicators with experimental measurements, the article demonstrates the applicability of our slicing framework for flash crowd scenarios.

This paper presents the generic definitions, basic functionalities and current research trends in Cloud Radio Access Networks and its derivatives, Virtual Radio Access Networks and Open Radio Access Networks. Moreover, the paper provides practical results, insights, and lessons learned regarding the limitations and unforeseen issues of Radio Access Networks virtualization. The paper also discusses the potential developments and possibilities for commercial roll out of novel Radio Access Networks approaches.