Sachula Meng's research while affiliated with China Electric Power Research Institute and other places

Publications (22)

Article
Full-text available
Electric Internet of things (EIoT) that integrates 5G and edge computing can provide data transmission and processing guarantee for smart grid. However, computation offloading optimization including joint optimization of server selection and computation resource allocation still faces several challenges such as difficulty in tradeoff balance among...
Article
Emerging power services with massive connections and real-time control have different requirements on delay, rate, reliability, etc. In order to meet the diversified requirements of power services, network slicing can provide guarantee for the wide application of 5G in power. The current research on network slicing adapting power services is still...
Chapter
To meet the diversity of smart grid services, network slicing can be considered as a cost-effective way to provide customized services for different QoS (Quality of Service) requirements of each service. Considering the downlink transmission between gNB (gNodeB) and UEs (User Equipments), this paper focuses on logically divided eMBB (Enhance Mobile...
Article
Full-text available
To bridge the gap between the resource-constrained mobile devices and the resource-demanding applications, mobile cloud computing (MCC) emerges for offloading complex tasks to a cloud server. Based on this concept, cloudlets, which move available resource to the vicinity of the mobile network, enhance further the system accessibility and performanc...
Chapter
In smart cites, more and more smart mobile devices (SMDs) have many computation-intensive applications to be processed. Mobile cloud computing (MCC) as an effective technology can help SMDs reduce their energy consumption and processing delay by offloading the tasks on the distributed cloudlet. However, due to long transmission delay resulting from...
Article
Full-text available
In this paper, a downlink device-to-device (D2D)- assisted cellular networks with mobile edge caching, where most popular video files are independently cached in D2D users and cellular base station (BS), is studied. In the considered system model, each user may obtain the requested video from the cache of BS or/and D2D users surrounded it. Accordin...
Conference Paper
In recent years, information overload has led to the development of a wide variety of different types of recommender systems (RSs), which aim at harnessing the problem in different domains. Most RSs spare no effort to improve the accuracy to help users find items matching their latest preferences. However, RSs with high accuracy not always capture...
Article
Full-text available
Mobile cloud computing (MCC) is an emerging technology to relieve the tension between compute-intensive mobile applications and resource-constrained mobile terminals by offloading computing tasks to remote cloud servers. In this paper, we consider a novel MCC architecture consisting of remote cloud server, cloudlet and mobile terminal to guarantee...
Article
Full-text available
Massive Multiple-Input Multiple-Output (MIMO) has been regarded as one of the key technologies of fifth generation cellular systems due to its excellent performance in spectral and energy efficiency, whose performance has also been widely studied. However, most related works focus only on the impact of the wireless channels. In fact, its performanc...
Article
Full-text available
Emerging mobile cloud computing (MCC) technology offers great potential for the mobile terminals to support running highly sophisticated applications. However, supporting such applications needs efficient resource management from cloud servers and mobile terminals. Moreover, the resource management technologies based on quality of experiences (QoE)...

Citations

... In order to improve the overall performance of the network system, first of all, we should reasonably allocate the limited resources in the network to achieve efficient and maximum utilization of resources. At present, most of the resource allocation strategies only consider a single level of resource allocation, which can maximize the rate and delay of users in the system, but can not meet the resource allocation in the slicing environment, such as in [4][5][6][7][8]. Power service is divided into elastic service and real-time service and a dynamic resource allocation strategy based on reinforcement learning algorithm is proposed in [4]. ...
... Recent works, instead, analyze the use of NFV and ICT technologies to improve communications among the components of smart grids [24]. For instance, in [25], Yang et al. present an NFV/SDN-based model that slices the resources in core networks and coordinates the activation of SFCs to meet end-to-end low latency requirements for missioncritical energy services. Meanwhile, in [26], the authors present an SDN/NFV-based infrastructure that offers optimal placement and dynamic resource allocation of middleboxes, enabling them to meet both cyber-security and low-latency communication requirements in smart grids. ...
... Virtualization of network resources such as the Network Slicing (NS) has enabled improved operational efficiency and cost savings in the operation of the smart grid. As evidenced in [17], network slicing can be performed at the access, transport, and core network layers according to the dynamic nature of service requirements. From the techno-economic view of 5G for teleprotection, NS economic model described in [18] is used to manage the Total Cost of Ownership (TCO) and Return on Investment (ROI) in smart grid projects. ...
... To achieve an efficient EV charging scheme, many proposals have recently introduced the concept of network slicing [10], which can provide dedicated on-demand services in the case of limited network resources with low operating costs. In [11], the authors proposed a vehicular delay-tolerant network in smart grid to transmit data to EVs by using the edge computing technology. ...
... Besides device-caching and D2D assisted content distribution, multi-level EC was also utilized to improve EE of the system. In [13], [14], [39], the authors studied multi-level EC enabled wireless network where mode selection, transmission power, and file combination were optimized to reduce energy consumption of the content distribution phase. Although the aforementioned works depicted the advantages of EC for improving system EE, these works did not explore interference management for delivering the cached contents. ...
... Authors in [133] formulated the application offloading problem as Mixed Integer Non-Linear Programming (MINLP) in a smart city environment where smart mobile devices offload their applications to optimize the total system delay. An improved GA is used to find the local optimal solutions. ...
... Most research has been accomplished only to discuss the effects of wireless channels, and it is less common to study the effect of radio frequency (RF) circuits on the system performance. Another closed form expression is presented for detailed analysis of the total data rate in the downlink of the MIMO systems using the maximum ratio transmission (MRT) and zero forcing (ZF) pre-encoding [3]. Furthermore, for the simplest case of user equipment incompatibility with the ZF encoding, the water-filling solution is applied. ...
... The accuracy of their proposed method is 70% in the best-case scenario; however, this is not an acceptable result nowadays. Yu, Wang, Fan, Meng, and Huang (2017) emphasized the higher importance of user satisfaction than accuracy. They defined serendipity as an unexpected and high-quality item. ...
... The functional split problem has been studied by academia and industry [2][3][4] [5].There are many different approaches to decide at which point the protocol stack should be splitted and different factors(e.g., bandwidth, delay, energy) have to be taken into consideration. The authors of [6] proposed game based C-RAN baseband functions splitting and placement to address the problems. The authors of [7] proposed a graph-based framework to effectively reduce fronthauling cost through properly splitting and placing baseband processing functions in the network. ...