Energy Harvesting for Internet of Things with Heterogeneous Users

Abstract

We study the energy harvesting problem in the Internet of Things with heterogeneous users, where there are three types of single-antenna users: ID users that only receive information, EH users that can only receive energy, and ID/EH users that receive information and energy simultaneously from a multiantenna base station via power splitting. We aim to maximize the minimum signal-to-interference-plus-noise ratio (SINR) of the ID users and ID/EH users by jointly designing the power allocation at the transmitter and the power splitting strategy at the ID/EH receivers under the maximum transmit power and the minimum energy harvesting constraints. Specifically, we first apply the semidefinite relaxation (SDR), zero-forcing (ZF), and maximum ratio transmission (MRT) techniques to solve the nonconvex problems. We then apply the zero-forcing dirty paper coding (ZF-DPC) technique to eliminate the multiuser interference and derive the closed-form optimal solution. Numerical results show that ZF-DPC provides higher achievable minimum SINR than SDR and ZF in most cases.

Micro energy harvesting for IoT platform: Review analysis toward future research opportunities

“…Cost is an important issue associated with MEH for IoT devices [ 176 ]. The materials and manufacturing processes used to create energy harvesters can be expensive, which can increase the cost of the IoT device.…”

“…The authors in Ref. [ 176 ] reported energy harvesters can be expensive to produce, and the cost can impact the commercial viability of IoT devices. The expense of EH can effect the scalability of IoT devices, particularly for large-scale applications.…”

Position Tolerance Design Method for Array Antenna in Internet of Things

“…The Internet of Things (IoT) has received considerable attention in many areas like smart cities [1], health care [2], and so on [3][4][5][6]. The array antenna is a key component to acquire the target information in the Internet of Things [7].…”