5G networks are expected to be able satisfy users' different QoS requirements. Network slicing is a promising technology for provide services tailored specific demands. Driven by the increased massive wireless data traffic from application scenarios, efficient resource allocation schemes should exploited improve flexibility of network and capacity based on slicing. Due diversity new mobility management greatly needed guarantee seamless handover in network-slicing-based systems. In this...

Cooperation between the fog and cloud in mobile computing environments could offer improved offloading services to smart user equipment (UE) with computation intensive tasks. In this paper, we tackle problem a mixed fog/cloud system by jointly optimizing decisions allocation of resource, transmit power, radio bandwidth while guaranteeing fairness maximum tolerable delay. This optimization is formulated minimize maximal weighted cost delay energy consumption (EC) among all UEs, which...

As two major players in terrestrial wireless communications, Wi-Fi systems and cellular networks have different origins largely evolved separately. Motivated by the exponentially increasing data demand, are evolving towards a heterogeneous small cell network architecture, wherein cells expected to provide very high capacity. However, due limited licensed spectrum for networks, any effort achieve capacity growth through densification will face challenge of severe inter-cell interference. In...

Femtocells are being considered a promising technique to improve the capacity and coverage for indoor wireless users. However, cross-tier interference in spectrum-sharing deployment of femtocells can degrade system performance seriously. The resource allocation problem both uplink downlink two-tier networks comprising macrocells is investigated. A scheme cochannel proposed, aiming maximize delay-sensitive users delay-tolerant subject users' quality-of-service constraint an imposed by...

Cognitive small cell networks have been envisioned as a promising technique for meeting the exponentially increasing mobile traffic demand. Recently, many technological issues pertaining to cognitive studied, including resource allocation and interference mitigation, but most studies assume non-cooperative schemes or perfect channel state information (CSI). Different from existing works, we investigate joint uplink subchannel power problem in cells using cooperative Nash bargaining game...

Mobile-edge computing (MEC) is a promising paradigm to improve the quality of computation experience mobile devices because it allows offload tasks MEC servers, benefiting from powerful resources servers. However, existing computation-offloading works have also some open issues: 1) security and privacy issues; 2) cooperative offloading; 3) dynamic optimization. To address issues, we employ blockchain technology that ensures reliability irreversibility data in systems. Meanwhile, jointly...

The proliferation of smart vehicular terminals (VTs) and their resource hungry applications impose serious challenges to the processing capabilities VTs delivery services. Mobile Edge Computing (MEC) offers a promising paradigm solve this problem by offloading VT proximal MEC servers, while TV white space (TVWS) bands can be used supplement bandwidth for computation offloading. In paper, we consider cognitive network that uses TVWS band, formulate dual-side optimization problem, minimize...

Immersive virtual reality (VR) video is becoming increasingly popular owing to its enhanced immersive experience. To enjoy ultrahigh resolution VR with wireless user equipments, such as head-mounted displays (HMDs), ultralow-latency viewport rendering, and data transmission are the core prerequisites, which could not be achieved without a huge bandwidth superior processing capabilities. Besides, potentially very high energy consumption at HMD may impede rapid development of panoramic video....

When using blockchain in mobile systems, computation intensive mining tasks pose great challenges to the processing capabilities of miner equipment. Mobile edge computing (MEC) is an effective solution alleviating problem via task offloading. In process, miners compete for rewards through puzzle solving, where only that first completes process will be rewarded. Thus, may wish pay higher price and use more communication resources offloading latency reduction. However, there are risks not...

In this paper, we consider a backscatter-assisted wireless powered mobile edge computing (MEC) network, where multiple Internet-of-Things (IoT) nodes harvest energy from the signals transmitted by power beacon (PB) and utilize harvested for local task offloading via hybrid backscatter communication (BackCom) active transmission (AT). Considering limited computation capacity of MEC server quality-of-service (QoS) energy-causality constraints per IoT node, propose two resource allocation...

Multiaccess edge computing (MEC) empowered air–ground integrated networks (AGINs) hold great promise in delivering accessible services for users and Internet of Things (IoT) applications, such as forest fire monitoring, emergency rescue operations, etc. In this article, we present a comprehensive MEC framework, where servers carried by unmanned aerial vehicles (UAVs) will provide efficient computation to IoT devices user equipment (UE) (which are collectively referred UEs). We aim minimize...

In this article we provide a comprehensive review of the handover process in heterogeneous networks (HetNets), and identify technical challenges mobility management. line, evaluate performance HetNets with 3rd Generation Partnership Project (3GPP) Release-10 range expansion enhanced inter-cell interference coordination (eICIC) features such as almost blank subframes (ABSFs). Simulation assumptions parameters related study item 3GPP are used to investigate impact various on performance....

With the introduction of femtocells, cellular networks are moving from conventional centralized network architecture to a distributed one, where each cell should make its own radio resource allocation decisions, while providing inter-cell interference mitigation. However, realizing such is not trivial task. In this paper, we first introduce simple self-organization rule, based on minimizing transmit power, following which able converge into an efficient reuse pattern. Based rule and taking...

In order to expand the downlink (DL) coverage areas of picocells in presence an umbrella macrocell, concept range expansion has been recently proposed, which a positive bias (REB) is added DL received signal strengths (RSSs) picocell pilot signals at user equipments (UEs). Although may increase footprints picocells, it also results severe inter-cell interference expanded regions (ERs), because ER (PUEs) are not connected cells that provide strongest RSSs. this paper, we derive closed-form...

A distance-constrained resource-sharing criterion (DRC) is proposed for device-to-device (D2D) communications underlaying cellular systems to mitigate the interference from transmissions D2D link. The outage probability analysis and numerical evaluation reveal that there an optimal minimum distance between receiver its paired UE, DRC significantly reduces of communications.

In order to make Internet connections ubiquitous and autonomous in our daily lives, maximizing the utilization of radio resources social information is one major research topics future mobile communication technologies.Fog access network (FRAN) regarded as a promising paradigm for fifth generation (5G) networks.FRAN integrates fog computing with RAN makes full use edge would be different networking, computing, storage control compared conventional networks (RAN) emerging cloud RAN.In this...

Recently, energy efficiency in wireless networks has become an important objective. Aside from the growing proliferation of smartphones and other high-end devices conventional human-to-human (H2H) communication, introduction machine-to-machine (M2M) communication or machine-type into cellular is another contributing factor. In this paper, we investigate quality-of-service (QoS)-driven energy-efficient design for uplink long term evolution (LTE) M2M/H2H co-existence scenarios. We formulate...

We propose a distributed and coordinated radio resource allocation algorithm for orthogonal frequency division multiple access (OFDMA)-based cellular networks to self-organize efficient stable reuse patterns. In the proposed algorithm, each cell independently dynamically allocates modulation coding scheme (MCS), block (RB), transmit power its users in way that total downlink (DL) is minimized, while users' throughput demands are satisfied. Moreover, informs neighboring cells of RBs have been...

Satellites have largely been designed as application-specific and isolated for the past decades. Though with certain benefits, it might lead to resource under utilization limited satellite applications. As an emerging networking technology, software-defined has recently introduced into networks. In this letter, we propose a (SDSN) architecture, which simplifies among versatile satellites enables new protocols be easily tested deployed. particular, seamless handover mechanism based on SDSN...

Today, billions of communication devices connecting to wireless networks impose serious challenges network deployment, management, and data processing. Among all emerging technologies tackling these challenges, SDNs decouple the control plane from provide programmability, virtualization can share radio resources among various applications. On other hand, fog computing offloads services cloud edge networks, offering real-time nearby terminals. In this article, we present an integrated...

This paper proposes a brain-computer interface (BCI)-based teleoperation strategy for dual-arm robot carrying common object by multifingered hands. The BCI is based on motor imagery of the human brain, which utilizes spatial pattern method to analyze filtered electroencephalograph signals. Human intentions can be recognized and classified into corresponding reference commands in task space according phenomena event-related synchronization/desynchronization, such that manipulation tasks...

In this letter, we consider a multi-user wireless powered mobile edge computing (MEC) system, in which base station (BS) integrated with an MEC server transfers energy to devices (WDs) as incentive encourage them offload tasks the server. We formulate optimization problem contemporaneously maximize data utility and minimize consumption of operator under offloaded delay constraint, by jointly controlling wireless-power allocation at BS well size power WDs. To solve problem, constraint is...

Exoskeleton robots can assist humans to perform activities of daily living with little effort. In this paper, a hierarchical control scheme is presented which enables an exoskeleton robot achieve cooperative manipulation humans. The consists two layers. lowlevel the upper limb robot, admittance asymmetric barrier Lyapunov function-based adaptive neural network controller proposed enable be back drivable. order high-level interaction, strategy for learning human skills from demonstration by...

In order to enable low-latency computation-intensive applications for mobile user equipments (UEs), computation offloading becomes critical necessary. We tackle the problem in a mixed fog and cloud computing system, which is composed of an long term evolution-advanced (LTE-A) small-cell based node, powerful center, group UEs. The optimization formulated into mixed-integer non-linear programming problem, through joint decision making, resource allocation, block (RB) assignment, power...