A Light-emitting diode (LED) is a dominant source for future human-made light. The adoption of LEDs is expected to significantly reduce energy consumption and facilitate precise intensity and color control of illuminated spaces. An LED also makes possible the use of the visible light communications (VLC) technology that enables indoor luminaries and street lights to transmit wireless data through subtle intensity variations.
We study the use of modulated LEDs as well as superluminescent diodes (SLDs) and laser diodes (LDs) as alternative sources to realize next generation light fidelity (LiFi) networks towards 5G wireless access, Internet-of-Things (IoT) deployments and several indoor sensing applications.
The demand for wireless capacity requires networking and Internet infrastructures to evolve and meet the needs of future bandwidth-hungry applications. Wireless heterogeneous networks (HetNets) will play an important role toward the goal of using a diverse spectrum to provide high quality-of-service (Qos) and quality-of-experiance (QoE), especially in indoor environments where most data are consumed.
We design and evaluate a coexistance framework to explore the new mobile access mm-Wave and THz optical bands with thier unique propagation characteristic and capabilities to rethink the networking design towards the augmentation of existing micro-wave technologies and realization of new levels of throughput, latency, and streaming performance gains in future dense networks.
It is expected that by 2020, the Internet will consist of 50 billion devices, which leads to imperative design of the Internet-of-Things (IoT). The IoT should be able to link anything and everything to the Internet and to enable an exchange of data never available before. However, to braze the trail for IoT, several challenges need to be resolved.
We investigate and compare novel RF and optical backscattering wireless transmission and energy harvesting techniques to maximizing throughput, increase transmission range and provide uniform rate distribution under energy constraints.