Handoff Decision for Multi-user Multi-class Traffic in MIMO-LTE-A Networks

AbstractLTE-A networks do not have a central controlling system or node and is made up of several networking technologies. Handover is a method to assure that users can move freely within a network without losing the network connection. Thus, handoff is important in LTE-A to maintain the quality of service. But, handoffs in LTE-A face numerous issues like rapid change in network topology, failure in calls maintenance, etc. Thus, making efficient handoff decision is important. So, in this paper we develop a vertical handoff decision model on the basis of the utility model such that the handoff occurs only to the suitable cells in order to avoid any problem in maintaining the network connectivity

AI Enabled-6G: Artificial Intelligence (AI) for Integration of 6G Wireless Communications

The research in wireless communication is rapidly shifting to the next generation mobile system, 6G. Fifth-generation mobile network standards are now in use. However, there are still some user criteria that are expected to be satisfied in the sixth-generation communication network. 6G is estimated to enable the unprecedented intelligence Internet of Things with extremely varied stimulating necessities. Currently, artificial intelligence (AI) is considered as a novel paradigm for the designing and optimizing intelligent 6G architectures, standards and functions. By 2030, all of the people would be using 6G. In this paper, we investigate 6G trends, requirements, challenges & potential solutions and how AI-enabled technique can integrate 6G communications. The analysis section provides the need and how AI-empowered technique efficiently and effectively enhances the performance of network. The 6G networks based on intelligent AI architecture used to understand automatic network adjustment, knowledge discovery, intelligent service provisioning, and smart resource management

Genetic algorithm based adaptive offloading for improving IoT device communication efficiency

Improving the communication of Internet of Things (IoT) network is a challenging task as it connects a wide-range of heterogeneous mobile devices. With an extended support from cloud network, the mobile IoT devices demand flexibility and scalability in communication. Increase in density of communicating devices and user request, traffic handling and delay-less service are unenviable. This manuscript introduces genetic algorithm based adaptive offloading (GA-OA) for effective traffic handling in IoT-infrastructure-cloud environment. The process of offloading is designed to mitigate unnecessary delays in request process and to improve the success rate of the IoT requests. The fitness process of GA is distributed among the gateways and infrastructure to handle requests satisfying different communication metrics. The process of GA balances between the optimal and sub-optimal solutions generated to improve the rate of request response. Experimental results prove the consistency of the proposed GA-OA by improving request success ratio, achieving lesser complexity, delay and processing time

An Efficient Cluster Head Selection and Routing in Mobile WSN

Wireless Sensor Networks (WSN) includes numerous sensor nodes that are connected to each other through the use of wireless short distance links. The transfer of data between the individual nodes is found to be energy-constrained and the energy-efficient protocol in WSNs is a huge requirement. In addition, the deployment of large numbers of sensor nodes increases the size of the network, which in turn increases the energy consumption rate. An efficient protocol is developed in this research that includes grid-based mobile communication network formation, efficient path selection through cluster head selection and data communication. In addition, multi-stage authentication is implemented to provide security from source node to destination node for the transfer of data. Implementation is performed via NS2-based platform and the result obtained shows that the proposed system outperforms other existing techniques in terms of packet delivery and use of energy through network lifetime

An Efficient Cluster Head Selection and Routing in Mobile WSN

Wireless Sensor Networks (WSN) includes numerous sensor nodes that are connected to each other through the use of wireless short distance links. The transfer of data between the individual nodes is found to be energy-constrained and the energy-efficient protocol in WSNs is a huge requirement. In addition, the deployment of large numbers of sensor nodes increases the size of the network, which in turn increases the energy consumption rate. An efficient protocol is developed in this research that includes grid-based mobile communication network formation, efficient path selection through cluster head selection and data communication. In addition, multi-stage authentication is implemented to provide security from source node to destination node for the transfer of data. Implementation is performed via NS2-based platform and the result obtained shows that the proposed system outperforms other existing techniques in terms of packet delivery and use of energy through network lifetime

Investigation of Video Streaming over MANETS Routing Protocols

For industrial and academic researchers from all around the world, the Mobile Ad-hoc Network (MANET) is a specific focus. A MANET was created as a result of the fast growth of wireless gadgets. Mobile Ad hoc network is a self-organizing network with no framework. MANET’s device has the ability to travel in any direction in order to transmit and receive data with other devices or network nodes. An administrator node which is capable of controlling other nodes is absent in MANET. All nodes in MANET act as its own router and host and arrange its own network. The most important element of MANET is Routing protocol. For routing in MANET, various routing protocol is responsible. Providing a video streaming service using mobile ad-hoc networks is a hard task. The network topology is immensely unstable and its instability causes data to be lost. The performance of MANET routing protocols for video applications has been examined in this paper. There are many routing protocols, however the Optimized Link State Routing (OLSR) protocol and Ad-hoc On-Demand Distance Vector (AODV) routing protocols are explored here. In this work, a comparison of these two effective routing protocols for supporting video streaming applications is offered

Designing of Single Band Four Antenna Array for 5G Mobile Applications using MISO Technique

In 5G applications, this paper proposes a single-band four-antenna array for faster velocity and single output (MISO) mechanisms. There were also separate based on step-impedance resonators, L-shaped slot antennas in the established MISO antenna array stepped impedance resonator (SIRs). By calculating the SIR's impedance ratio, the proper single-resonance can be obtained, and for each component in the antenna. By tuning the alignment of the antenna's micro strip antenna app, good impedance matching can be assumed. A decided return loss of more than 10 dB and a measured inter-element isolation of greater than 10.2 dB are illustrated by the experimental results were obtained over the long-term evolution (LTE) band 52 (3358-3640 MHz) and LTE band 20 20 with a simulated cost efficiency of well over 61 percent for each antenna line (5250-5985 MHz). Besides that, between arbitrary two antenna pieces, the decided envelope correlation the coefficient (ECC) is higher than 0.2, and the proposed MISO antenna array achieves a simulated channel capacity of more than 42.5 bps/Hz within both transmission bands. Absolute anthropomorphic mannequins (SAM) in the head and human brain in the presence of, in particular, the MISO antenna array can ensure adequate radiation and MISO accuracy

RETRACTED: Security and Routing Protocol for 5G Wireless Mobile Networks

This article has been reetracted by the authors