Xiumei Yang

TL;DR: An overview of the cloud radio access network (C-RAN), which is a key enabler for future mobile networks in order to meet the explosive capacity demand of mobile traffic, and reduce the capital and operating expenditure burden faced by operators, is presented.

TL;DR: To minimize service delay in heterogeneous fog networks, a scalable, stable, and decentralized algorithm, namely dispersive stable task scheduling (DATS), is proposed and evaluated, which consists of a PE-based progressive computing resources competition and a QoE-oriented synchronized task scheduling.

TL;DR: Detailed simulation results show that FEMOS is a fair and efficient algorithm for all user terminals and, more importantly, it can offer much better performance, in terms of network throughput, service delay, and queue backlog, than traditional node assignment and resource allocation algorithms.

TL;DR: The analytical and simulation results show that the proposed paired offloading of multiple tasks (POMT) algorithm can offer the near-optimal performance in system average delay and delay reduction ratio (DRR), and achieve more number of beneficial TNs, at two orders of magnitude lower complexity than a centralized optimal algorithm for computation offloading.

TL;DR: In this paper, the authors proposed a method for configuring measurement on at least one channel in a frequency band of a primary system, and determining the usability of the channel based on the measurement report, wherein the configuration message includes information regarding a respective predetermined threshold of energy detection or primary-system-feature detection.