Technology For 5G Networks Research Articles

Efficient Resource Management by Exploiting D2D Communication for 5G Networks

Device-to-device (D2D) communication is a promising technology for 5G networks, providing high data rates, increased spectral and energy efficiency, and reduced end-to-end delay and transmission power. However, in current cellular systems, the performance of cell edge devices suffers when multimedia content is directly uploaded toward the base station side due to poor link quality. This requires a greater number of resource blocks and additional upload time, thus degrading the quality of service. To reduce the number of resource blocks and upload time, this paper proposes an efficient resource management scheme that exploits D2D communication in the uplink case. This scheme consists of two phases. In the first phase, in the case of poor link quality, a novel relay selection scheme is used in the multihop (two-hop) communication strategy; in the second phase, an effective new resource allocation scheme is used in multihop communication. This scheme minimizes packet loss, upload time, and number of resource blocks, whereas it increases the throughput of the network. Simulation result demonstrates the superiority of the proposed scheme over other schemes in the literature.

5G internet of things [Editor's Note

Many of the applications and use cases that drive the requirements and capabilities of 5G are about end-to-end communication between devices. In order to distinguish them from the more human-centric wireless applications such as mobile telephony and mobile broadband, these applications are often labeled machine-type communication (MTC) or more broadly as the Internet of Things (IoT). Improved provisioning, device management, and service enablement will bring a wider range of potential IoT applications. Some predictions forecast that there will be 15 billion connected MTC devices by 2021, a nearly 40 fold increase over the number of currently deployed MTC devices. Although spanning a wide range of different applications, IoT can be divided into two main categories, massive MTC and critical MTC, depending on their characteristics and requirements. Each brings its own challenges and requirements for standardization. To create a truly networked society requires market driven standardization and the deployment of standardized technology for 5G IoT devices, networks, and software.

A survey on 5G: The next generation of mobile communication

The rapidly increasing number of mobile devices, voluminous data, and higher data rate are pushing to rethink the current generation of the cellular mobile communication. The next or fifth generation (5G) cellular networks are expected to meet high-end requirements. The 5G networks are broadly characterized by three unique features: ubiquitous connectivity, extremely low latency, and very high-speed data transfer. The 5G networks would provide novel architectures and technologies beyond state-of-the-art architectures and technologies. In this paper, our intent is to find an answer to the question: “what will be done by 5G and how?” We investigate and discuss serious limitations of the fourth generation (4G) cellular networks and corresponding new features of 5G networks. We identify challenges in 5G networks, new technologies for 5G networks, and present a comparative study of the proposed architectures that can be categorized on the basis of energy-efficiency, network hierarchy, and network types. Interestingly, the implementation issues, e.g., interference, QoS, handoff, security–privacy, channel access, and load balancing, hugely effect the realization of 5G networks. Furthermore, our illustrations highlight the feasibility of these models through an evaluation of existing real-experiments and testbeds.

Load Balancing Algorithm of Ultra-Dense Networks: a Stochastic Differential Game based Scheme

Increasing traffic and bandwidth requirements bring challenges to the next generation wireless networks (5G). As one of the main technology in 5G networks, Ultra-Dense Network (UDN) can be used to improve network coverage. In this paper, a radio over fiber based model is proposed to solve the load balancing problem in ultra-dense network. Stochastic differential game is introduced for the load balancing algorithm, and optimal load allocated to each access point (RAP) are formulated as Nash Equilibrium. It is proved that the optimal load can be achieved and the stochastic differential game based scheme is applicable and acceptable. Numerical results are given to prove the effectiveness of the optimal algorithm.