Cooperative Base Station Caching and X2 Link Traffic Offloading System for Video Streaming Over SDN-Enabled 5G Networks

2019 ◽  
Vol 18 (9) ◽  
pp. 2005-2019 ◽  
Author(s):  
Gi Seok Park ◽  
Hwangjun Song
2020 ◽  
Vol 10 (12) ◽  
pp. 4409
Author(s):  
Wei Kuang Lai ◽  
Chin-Shiuh Shieh ◽  
Fu-Sheng Chou ◽  
Chia-Yu Hsu ◽  
Meng-Han Shen

This study addresses the handover management issue for Device-to-Device communication in fifth-generation (5G) networks. The Third Generation Partnership Project (3GPP) drafted a standard for proximity services (ProSe), also named device-to-device (D2D) communication, which is a promising technology in offering higher throughput and lower latency services to end users. Handover is an essential issue in wireless mobile networks due to the mobility of user equipment (UE). Specifically, we need to transfer an ongoing connection from an old E-UTRAN Node B (eNB) to a new one, so that the UE can retain its connectivity. In the data plane, both parties of a D2D pair can communicate directly with each other without the involvement of the base station. However, in the control plane, devices must be connected to the eNB for tasks such as power control and resource allocation. In the current standard of handover scheme, the number of unnecessary handovers would be increased by the effect of shadowing fading on two devices. More important, the handover mechanism for D2D pairs is not standardized yet. LTE-A only considers the handover procedure of a single user. Therefore, when a D2D pair moves across cell boundaries, the control channels of the two UEs may connect to different base stations and result in increased latency due to the exchange of D2D related control messages. Hence, we propose a handover management scheme for D2D communication to let both parties of a D2D pair handover to the same destination eNB at the same time. By doing so, the number of unnecessary handovers, as well as the handover latency, can be reduced. In the proposed method, we predict the destination eNB of D2D users based on their movements and the received signal characteristics. Subsequently, we make a handover decision for each D2D pair by jointly factoring in the signal quality and connection stability. Expected improvement can be attained, as revealed in the simulation. Unnecessary handover can be avoided. Consequently, both UEs of a D2D pair reside in the same cell and, therefore, result in increased throughput and decreased delay.


IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 209-223 ◽  
Author(s):  
Nguyen-Son Vo ◽  
Trung Q. Duong ◽  
Hoang Duong Tuan ◽  
Ayse Kortun

Sensors ◽  
2021 ◽  
Vol 21 (19) ◽  
pp. 6555
Author(s):  
Radwa Ahmed Osman ◽  
Sherine Nagy Saleh ◽  
Yasmine N. M. Saleh

The co-existence of fifth-generation (5G) and Internet-of-Things (IoT) has become inevitable in many applications since 5G networks have created steadier connections and operate more reliably, which is extremely important for IoT communication. During transmission, IoT devices (IoTDs) communicate with IoT Gateway (IoTG), whereas in 5G networks, cellular users equipment (CUE) may communicate with any destination (D) whether it is a base station (BS) or other CUE, which is known as device-to-device (D2D) communication. One of the challenges that face 5G and IoT is interference. Interference may exist at BSs, CUE receivers, and IoTGs due to the sharing of the same spectrum. This paper proposes an interference avoidance distributed deep learning model for IoT and device to any destination communication by learning from data generated by the Lagrange optimization technique to predict the optimum IoTD-D, CUE-IoTG, BS-IoTD and IoTG-CUE distances for uplink and downlink data communication, thus achieving higher overall system throughput and energy efficiency. The proposed model was compared to state-of-the-art regression benchmarks, which provided a huge improvement in terms of mean absolute error and root mean squared error. Both analytical and deep learning models reached the optimal throughput and energy efficiency while suppressing interference to any destination and IoTG.


2018 ◽  
Vol 64 (2) ◽  
pp. 621-634 ◽  
Author(s):  
James Nightingale ◽  
Pablo Salva-Garcia ◽  
Jose M. Alcaraz Calero ◽  
Qi Wang
Keyword(s):  

2014 ◽  
Vol 5 (3) ◽  
pp. 60-72 ◽  
Author(s):  
Sanjay Kumar Biswash ◽  
Santosh Nagaraj ◽  
Mahasweta Sarkar

Fifth Generation (5G) networks hold the promise of features and performance levels that is going to put the conventional cellular communication paradigm through rigorous challenges. This paper presents a novel architecture for a 5G network which will be capable of mobile device centric communication regardless of the presence of a Base Station (BS). The major contribution of this paper, lies in the proposed system and protocol design of a Device-to-Device (D2D) communication system for 5G mobile system. The proposed design has two sub-categories – (a) fully device centric and (b) partially device centric. Additionally, the devices have been designed to communicate independently or with partial dependency on support from the BS. The system has been simulated under various parameters. The simulation results showcased in this paper highlights the efficiency and effectiveness of the proposed design.


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