Device-to-Device (D2D) communication is a promising concept used to improve user experience and enhance resource utilization in cellular networks, enabling two close-by D2D devices to establish a direct local link and bypass a base station. The proximity of two D2D devices allows for high data rate, low latency, and low energy consumption. D2D communication for proximity-based services (ProSe) is one of the most popular issues discussed in the 3rd Generation Partnership Project (3GPP). D2D devices require to discover each other (i.e. D2D discovery) before D2D communication. It can be applied to various important fields such as the environment and habitat monitoring, disaster management, and emergency response. In this work, we consider D2D communication is adopted for Internet-of-Things (IoT) devices for local operation. These devices may be randomly deployed and expose to uncontrolled, harsh and hostile environments. Thus, energy-harvesting technology is considered to enable devices to gather energy from the ambient sources and recharge their batteries. We investigate the constraints of an LTE-A system to serve energy-harvesting D2D devices. We develop a low complexity algorithm for D2D discovery resource allocation. Moreover, Sleep-Coordinative Mechanism (SCM) and Saving-before-Activity Mechanism (SBA) are proposed to realize energy-harvesting D2D discovery under the resource and energy constraints. Simulation results show that the combination of SCM and SBA effectively achieves almost 100% discovery rate with fewer time slots and lower energy consumption.


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    Title :

    Energy-Efficient D2D Discovery for Energy-Harvesting Proximal IoT Devices


    Contributors:


    Publication date :

    2017-06-01


    Size :

    229298 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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