Mobile Low Latency Services in 5G

Wireless sensor networks (WSNs) have gained much attention in today’s research domain for supporting a wide variety of applications including the multimedia applications. Multimedia applications that are regarded as the quality-of-service (QoS)-aware, delay sensitive, and bandwidth hungry applications require enough energy and communication resources. WSNs being the energy-scarce network have now been designed in such a way that they can support these delay-sensitive and time-critical applications. In this paper, we propose an energy-efficient routing protocol for heterogeneous WSNs to support the delay sensitive, bandwidth hungry, time-critical, and QoS-aware applications. The proposed QoS-aware and heterogeneously clustered routing (QHCR) protocol not only conserves the energy in the network, but also provides the dedicated paths for the real-time and delay sensitive applications. The inclusion of different energy-levels for the heterogeneous WSNs also provides the stability in the networks while minimizing the delay for the delay-sensitive applications. Extensive simulations have been performed to validate the effectiveness of our proposed scheme. Our proposed routing scheme outperforms other state-of-the-art schemes in terms of the delay performances.

Summary form only given. Radio access technologies for mobile broadband have evolved effectively to provide connectivity to billions of subscribers and things. Current Radio Access Network architecture is undergoing a transformation to increase deployment flexibility and network dynamicity, so that networks will be able to meet the performance requirements demanded by applications such as extreme mobile broadband and long-range massive machine type communication. Next generation 5G networks will cater for a wide range of new business opportunities, some of which have yet to be conceptualized. They will provide support for advanced mobile broadband services such as massive media distribution. Applications like remote operation of machinery, tele-surgery, and smart metering all require connectivity, but with vastly different characteristics. The ability to provide customized connectivity will benefit many industries around the world, enabling them to bring new products and services to market rapidly, and adapt to fast changing demands, all while continuing to offer and expand existing services. To prevent total cost of ownership from soaring, the 5G architecture will be software configurable and split between general purpose and specialized hardware, in a way that enables optimal placement of networks functions.

Optimizing spectral efficiency based on poisson queuing model for procuring cognitive intelligence in vehicular communication

Ultra-reliable low latency (uRLL) communication in 5G dictates the deployment of distributed infrastructure with numerous datacenters for low latency, while hosting ultra-reliable services mandates attended datacenters. This would boost the operational costs of 5G network operators planning country-wide coverage for uRLL services. This paper examines how these operational expenses dominated by administrative costs can be reduced without impacting the quality of the provided uRLL service. Our results indicate that hosting uRLL services in unattended datacenters with increased hardware redundancy schemes can produce significant cost savings.

5G network is considered as a key enabler in meeting continuously increasing demands for the future Internet of Things (IoT) services, including high data rate, numerous devices connection, and low service latency. To satisfy these demands, network slicing and fog computing have been envisioned as the promising solutions in service-oriented 5G architecture. However, security paradigms enabling authentication and confidentiality of 5G communications for IoT services remain elusive, but indispensable. In this paper, we propose an efficient and secure service-oriented authentication framework supporting network slicing and fog computing for 5G-enabled IoT services. Specifically, users can efficiently establish connections with 5G core network and anonymously access IoT services under their delegation through proper network slices of 5G infrastructure selected by fog nodes based on the slice/service types of accessing services. The privacy-preserving slice selection mechanism is introduced to preserve both configured slice types and accessing service types of users. In addition, session keys are negotiated among users, local fogs and IoT servers to guarantee secure access of service data in fog cache and remote servers with low latency. We evaluate the performance of the proposed framework through simulations to demonstrate its efficiency and feasibility under 5G infrastructure.

Recently, the Third Generation Partnership Project (3GPP) introduced new radio (NR) technology for vehicle-to-everything (V2X) communication to enable delay-sensitive and bandwidth-hungry applications in vehicular communication. The NR system is strategically crafted to complement the existing long-term evolution (LTE) cellular-vehicle-to-everything (C-V2X) infrastructure, particularly to support advanced services such as the operation of automated vehicles. It is widely anticipated that the fifth-generation (5G) NR system will surpass LTE C-V2X in terms of achieving superior performance in scenarios characterized by high throughput, low latency, and enhanced reliability, especially in the context of congested traffic conditions and a diverse range of vehicular applications. This article will provide a comprehensive literature review on vehicular communications from dedicated short-range communication (DSRC) to NR V2X. Subsequently, it delves into a detailed examination of the challenges and opportunities inherent in NR V2X technology. Finally, we proceed to elucidate the process of creating and analyzing an open-source 5G NR V2X module in network simulation-3 (ns-3) and then demonstrate the NR V2X performance in terms of different key performance indicators implemented through diverse operational scenarios.

Although the vehicular communications began from the era of the Long Term Evolution (LTE), the strict requirements of the vehicular safety and advanced applications force the academic and industrial communities to continue the topic on the next-generation vehicular communications. In order to realize extremely high reliability and low latency, the frequency spectrum of terahertz (THz) band with ultra-large bandwidth is likely to be one of the candidates at the age of beyond 5th-generation communications (B5G). In this paper, a measurement-validated self-developed ray-tracing (RT) simulator of Beijing Jiaotong University is utilized to characterize the vehicle-to-infrastructure (V2I) channel at 300-308 GHz in highway scenario. Corresponding channel parameters, in line with the standard channel models, are then fed into the quasi deterministic radio channel generator (QuaDRiGa), which is a 3GPP 38.901 reference implementation. The differences in path loss and root-mean-square (RMS) delay spread between RT and QuaDRiGa are summarized, respectively. The good agreement in the power domain and the time domain indicates that the channel parameters provided in our work can operate well in the standard channel model. These results can be used to guide the design of the future vehicular communications at the THz band.

Recently, vehicular communication has become an important application in wireless communications. The Long Term Evolution (LTE) system is considered as one candidate to realize vehicular communication due to many reasons, such as: 1. The LTE system provides extensive coverage. 2. The LTE system provides low transmission latency. 3. In Release 12, the LTE system supports ProSe device-todevice (D2D) service, which can be extended to support vehicular communication.

Mobile communications have grown exponentially these last few years leading to an increasing demand. Software-Defined Networking appears to be a promising technology in order to provide flexible Quality of Service and very low latency. By modifying the 4G LTE architecture and integrating OpenFlow (SDN protocol) towards the 5G architecture, this new architecture promises to fulfill the requirements and to achieve better performances while participating to the network functions virtualization.

The recently developed fifth generation (5G) of mobile communication has several advanced features. It would be very much different from the previous versions of the mobile generations in several aspects. Based on the performance, 5G will have gigantic data rates, very low end-to-end latency, high spectral efficiency, very high device densities, high energy efficiency, and seamless connectivity with devices and sensors. These advanced features will bring several differences in the 5G architecture. The differences will be both in the core, and access parts of these new networks. While the core will be comprised of high speed optical fibers, the access will have advanced wireless technologies such as massive MIMO, beamforming, energy efficient waveforms, new radio access technologies, and new full duplex channels. In this article, we present the new features and their performance characteristics of 5G access networks. We show the newly proposed standards in place for the 5G new radio (NR). The 5G NR is going to frame the practical aspects of 5G in the wireless form. Based on the 5G NR, the access networks of 5G will have several new initiatives such as new spectrum for communication, too many small cells, massive MIMO antennas, exploiting the space diversities, and advanced signal processing techniques to deal with these complexities. Finally, at the user’s end, a high data rate is delivered with very low latency.

5G has brought about major changes to the radio interface, which are directly experienced by end‐users through increased speed and lower latency. But 5G also brings about dramatic changes to the underlying system and network architecture, aiming at the many promises for 5G, most notably flexibility in addressing the many vertical industries seen entering the 5G space and efficiency in accommodating those new use cases and industries at sustainable costs. In this article, we outline the main trends and concepts that drive those changes in 5G architecture and how we see them coming together to fulfill the expectations in 5G deployments foreseen in the next years.

High electron mobility was achieved in Al1−xInxN∕AlN∕GaN (x=0.20–0.12) heterostructure field effect transistors (HFETs) grown by metal-organic chemical vapor deposition. Reduction of In composition from 20% to 12% increased the room temperature equivalent two-dimensional-electron-gas density from 0.90×1013to1.64×1013cm−2 with corresponding electron mobilities of 1600 and 1410cm2∕Vs, respectively. The 10K mobility reached 17600cm2∕Vs for the nearly lattice-matched Al0.82In0.18N∕AlN∕GaN heterostructure with a sheet carrier density of 9.6×1012cm−2. For comparison, the AlInN∕GaN heterostructure without the AlN spacer exhibited a high sheet carrier density (2.42×1013cm−2) with low mobility (120cm2∕Vs) at room temperature. The high mobility in our samples is in part attributed to ∼1nm AlN spacer which significantly reduces the alloy scattering as well as provides a smooth interface. The HFETs having gate dimensions of 1.5×40μm2 and a 5μm source-drain separation exhibited a maximum transconductance of ∼200mS∕mm with good pinch-off characteristics and over 10GHz current gain cutoff frequency.

Poly(l-lactic acid) (PLLA) membranes containing pharmaceutically active ionic liquids (API-ILs) have been prepared by using a simple film casting from solvent evaporation method. Several sets of membranes were prepared from two different ionic liquids namely 1-methyl-3-butyl-imidazolium ibuprofenate (C4MImIbu) and lidocainium ibuprofenate (LidIbu) with different API-IL contents. Scanning Electron Microscopy (SEM), Differential Scanning Calorimetry (DSC), Wide-Angle and Small-Angle X-ray Scattering (WAXS and SAXS) revealed the strong influence of both the IL nature and content on the morphology and the crystallinity of the resulting PLLA. At 20 weight%, LidIbu was shown to act as a plasticizer for PLLA and homogeneous membranes were obtained. In contrast, at the same IL content, phase separation occurred using C4MImIbu, resulting in the formation of porous PLLA. An increase of LidIbu content to 50 weight% results also in phase separation. 1H and 1H-13C CP-MAS NMR measurements evidenced the influence of different morphologies and crystallinities on IL mobility. C4MImIbu was found to be highly mobile whereas the mobility of LidIbu was content dependent. At low percent, low mobility was observed while at higher content, two populations with respectively high and low mobility were observed. These PLLA-IL membranes were further tested as drug delivery systems. In accordance with the morphology and mobility obtained, we demonstrated that release kinetics from PLLA membranes can be tuned by the nature and the content of API-ILs. Sustainable release kinetics were obtained with API-IL acting as a plasticizer while the fastest release was obtained with API-IL acting as a porogenic agent.

Fog computing is a new computational paradigm proposed by Cisco that subdues the shortcomings of cloud computing by transferring some of the core functions of cloud towards the network edge. Internet of Things (IOT) is a very promising technology, which are used heavily in many areas of life and with such a large and rapid spread produces a lot of challenges in IOT. As reported by Cisco, by the year 2020, the next generation Internet-connected devices would comprise of around 50 billion Internet-connected devices which are located at the edge of the network and require support for mobility, low latency, real-time, and location-aware services. The Cloud computing is used as a main component in IOT architecture to provide processing and storage services for IOT system but the conventional cloud computing architecture is completely centralized in nature, and therefore, fails to provide real-time and low latency services to billions of IOT devices at the edge of the network, simultaneously. The main objective of this research is to combine the capabilities of Fog Computing, Cognitive and Context-Aware IOT to build a cognitive management framework for Fog computing capable of adopting it's behavior in a context-aware fashion to maximize the number of functions that can be carried out in The Fog and to provide a solution for determining which functions should be carried out in the Fog and which should be carried out in the cloud and how the Fog should interact with the Cloud, The same function in some situations can be carried out in the fog while in other situations can be carried out in the cloud according to its context.

Fifth-generation (5G) networks are already available in major urban areas and are expected to bring a major transformation to citizens’ lives. 5G services, such as enhanced mobile broadband (eMBB), ultra-reliable low latency communications (URLLC), and massive machine-type communications (mMTC), require a network infrastructure capable of supporting stringent requirements in terms of latency and bandwidth demands; as such, it must be highly dynamic and flexible. Network slicing is a key enabler technology that can provide dynamic and flexible characteristics to 5G network architecture. A network slice (NS) can be defined as a partition of network and IT resources, that is, network links and nodes capacity dedicated to a specific set of service demands. As a result, different NSs can coexist over the same physical infrastructure network and can be used to dynamically and flexibly deploy the aforementioned 5G services. However, to efficiently implement NSs with different requirements, communication service providers (CSPs) that own the physical infrastructure network must adopt sophisticated techniques for admission control and resource allocation of NSs. In this paper, we present a novel framework for admission control and resource allocation of 5G NSs in metro-core networks. Specifically, our framework is based on a deep reinforcement learning (DRL) algorithm called Advantage Actor Critic (A2C), which performs admission control, i.e. it is capable of learning which slice to admit based on the availability of the physical network resources. Then, given the diversity of requirements for each 5G service, we propose different resource allocation algorithms based on integer linear programming (ILP) and heuristics to treat each service accordingly. Results show that our proposed framework can increase the number of admitted NSs with respect to the case in which the admission control is disabled by improving the resource allocation performance.