通讯作者：Kong, XJ (reprint author), Dalian Univ Technol, Sch Software, Dalian 116620, Peoples R China.; Hou, WG (reprint author), Northeastern Univ, Coll Comp Sci & Engn, Shenyang 110169, Liaoning, Peoples R China.
合写作者：Wang, Xiaojie,Kong, Xiangjie,Hou, Weigang
发表刊物：IEEE INTERNET OF THINGS JOURNAL
关键字：Device-to-device (D2D) communications; group formation; NarrowBand-Internet of Things (NB-IoT); power control; relay selection; social selfishness
摘要：Due to the heterogeneous and resource-constrained characters of Internet of Things (IoT), how to guarantee ubiquitous network connectivity is challenging. Although LTE cellular technology is the most promising solution to provide network connectivity in IoTs, information diffusion by cellular network not only occupies its saturating bandwidth, but also costs additional fees. Recently, NarrowBand-IoT (NB-IoT), introduced by 3GPP, is designed for low-power massive devices, which intends to refarm wireless spectrum and increase network coverage. For the sake of providing high link connectivity and capacity, we stimulate effective cooperations among user equipments (UEs), and propose a social-aware group formation framework to allocate resource blocks (RBs) effectively following an in-band NB-IoT solution. Specifically, we first introduce a social-aware multihop device-to-device (D2D) communication scheme to upload information toward the eNodeB within an LTE, so that a logical cooperative D2D topology can be established. Then, we formulate the D2D group formation as a scheduling optimization problem for RB allocation, which selects the feasible partition for the UEs by jointly considering relay method selection and spectrum reuse for NB-IoTs. Since the formulated optimization problem has a high computational complexity, we design a novel heuristic with a comprehensive consideration of power control and relay selection. Performance evaluations based on synthetic and real trace simulations manifest that the presented method can significantly increase link connectivity, link capacity, network throughput, and energy efficiency comparing with the existing solutions.