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The emerging wireless applications have been developed for the enhancement of road transportation safety and efficiency. With the deployment of the Internet of vehicles, the exact improvement of the road efficiency is not studied before. As an effort towards this issue, this paper proposes an analytical model with the perceived radius of vehicles, which ties the connectivity probability of vehicles...
A planar wideband substrate integrated waveguide (SIW) termination with multi-step shape and absorbing material is reported. Early reported absorbing material based SIW terminations exhibit fractional bandwidth (FBW) less than 45%. To broaden bandwidth, the multi-section stepped-impedance transformation is introduced into the design of SIW termination based on the theory of small reflection. The multi-step...
This paper presents two miniaturized dual-band filters based on quarter-mode substrate integrated waveguide (QMSIW) loaded with double-sided stepped-impedance complementary split-ring resonator (DS-SICSRR). The modified SICSRRs, realized by employing the stepped-impedance concept into the conventional CSRR, are with longer electrical lengths and thus exhibit more compact size as compared with its...
The increasing number of smart vehicles and their resource hungry applications pose new challenges in terms of computation and processing for providing reliable and efficient vehicular services. Mobile Edge Computing (MEC) is a new paradigm with potential to improve vehicular services through computation offloading in close proximity to mobile vehicles. However, in the road with dense traffic flow,...
This paper focuses on resource allocation in heterogeneous Ultra Dense small-cell Networks (UDNs), in which massive overlaid small cells are under the coverage of a macro cell. In UDN, both co-tier and cross-tier interference need to be taken into account. When increasing the deployment density of Small-cell Base Stations (SBSs) and the unreasonable energy usage, it results in serious interference...
This paper study a new paradigm of heterogeneous charging stations (CSs) for the excellent charging services of Electric Vehicles (EVs) in a dense urban environment. When a large number of EVs are driving on the roads, their travel demands and charging activities have significant impact on the charging management of multiple CSs including large-CSs (LCSs) and small-CSs (SCSs). The problem of charging...
Through the self interference cancellation, the emerging full duplex (FD) technology possesses the potential to double the link capacity of wireless cellular networks. However, under the simultaneous uplink and downlink transmission in the same band, the co-channel interference (CCI) remains in FD cellular networks is becoming a prominent obstacle for FD performance improvement. In this paper, a novel...
This paper focuses on heterogeneous dense small-cell networks (Dense-SCNs), consisting of a macro cell base station (MBS) and multiple small cell base stations (SBSs). In the Dense-SCNs, the MBS is a centralized energy trading center and SBSs receive the required energy resource from the trading center. Due to the SBSs' randomly deployment, resulting in the diversity of energy acquisition price, we...
With the rapid increasement of wireless mobile devices, the problem of energy consumption has been gradually exposed to set back the development of future wireless communication. Under this condition, the data and energy integrated communication network (DEIN) has been emerging as a new technique to help wireless devices to collect the energy from the ambient radio-frequency (RF) signal and hence...
Cloud-based vehicular networks is a new paradigm to improve the vehicular services through distributing computation tasks between remote clouds and local vehicular terminals. To further reduce the latency and the transmission cost of the computation offloading, we propose a cloud-based Mobile Edge Computing (MEC) offloading framework in vehicular networks. In the framework, efficient computation offloading...
In the next generation wireless communication networks, a large portion of operational expenditures (OPEX) has to be paid for energy consumption. Millions of base stations consume more energy in order to support increasing dramatically data traffic and diverse application services. Energy harvesting is becoming a promising technology to minimize the traditional power demand and thus reduce the OPEX...
The LTE-based V2V communications is considered to be the key technology to improve the performance of the intelligent transportation system. In order to allocate LTE resources efficiently on the scenarios of large-scale LTE-V2V networks, a novel clustering algorithm based on the similarity of mobility is proposed in this paper. We present a new definition — degree of link dependence to measure the...
Multi-channel technology can be used to provide higher transmission ability to the bandwidth-intensive and delay-sensitive real-time streams. However, traditional channel capacity theories and coding schemes are seldom designed for the real-time streams with strict delay constraint, especially when multiple channels are used. This paper considers a real-time stream system, where real-time messages...
With simultaneous transmission on both uplink and downlink within the same band, full duplex (FD) wireless communication is an emerging technique for next generation networks to significantly improve network throughput and spectrum efficiency. The symmetric capacity in the FD wireless network come from the same throughput obtained in both uplink and downlink with the same bandwidth. However, it will...
Mobile social networks (MSNs) are a special kind of delay tolerant networks that can apply social knowledge of user clustering to improve the performance of data delivery scheme in MSNs. However, the existing user clustering schemes ignore the fact that prediction accuracy will decrease with the increase of the network scale, which restricts the scalability of existing data delivery schemes and results...
In device-to-device (D2D) underlaying cellular networks, the interference among spectrum-sharing links is a major obstacle to reaping the potential benefits of D2D communications. To overcome this problem, we focus on joint optimization of resource sharing and power control for D2D-enabled cellular networks in a general resource reuse scenario, aiming at maximizing the overall throughput of D2D communications...
Vehicle-to-Grid (V2G) is a promising paradigm to alleviate energy supply and demand imbalance of the grid. To further improve the power transmission efficiency, in this paper, we propose a cloudlet-based Vehicle-to-Vehicle (V2V) energy exchange framework. In the framework, the Energy Switch Center (ESC) serves as a trading broker, which purchases electricity from discharging vehicles and then resells...
The frequency, time and places of charging have large impact on the Quality of Experience (QoE) of EV drivers. It is critical to design effective EV charging scheduling system to improve the QoE of EV drivers. In order to improve EV charging QoE and utilization of CSs, we develop an innovative travel plan aware charging scheduling scheme for moving EVs to be charged at Charging Stations (CS). In the...
This paper studies the problem of optimal power allocation towards maximizing the throughput of point-to-point wireless communication systems with energy harvesting. A novel energy-transferring approach is proposed to analyze the throughput maximization problem with causality constraints, in which we study the transfer energy rather than the water level widely used in the existing literature. The...
In the future wireless heterogeneous network, it is significantly critical to rationally and efficiently utilize network communication resource for satisfying the diversification and differentiation of user and service requirements. In this paper, we propose a user-centric wireless access and service matching scheme in heterogeneous networks with multiple radio access technologies (Multi-RATs). We...
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