Optimal Cross Slice Orchestration for 5G Mobile Services

© 2018 IEEE. 5G mobile networks encompass the capabilities of hosting a variety of services such as mobile social networks, multimedia delivery, healthcare, transportation, and public safety. Therefore, the major challenge in designing the 5G networks is how to support different types of users and applications with different quality-of-service requirements under a single physical network infrastructure. Recently, network slicing has been introduced as a promising solution to address this challenge. Network slicing allows programmable network instances which match the service requirements by using network virtualization technologies. However, how to efficiently allocate resources across network slices has not been well studied in the literature. Therefore, in this paper, we first introduce a model for orchestrating network slices based on the service requirements and available resources. Then, we propose a Markov decision process framework to formulate and determine the optimal policy that manages cross-slice admission control and resource allocation for the 5G networks. Through simulation results, we show that the proposed solution is efficient not only in providing slice-as-a-service based on service requirements, but also in maximizing the provider's revenue

Energy-efficient vertical handover parameters, classification and solutions over wireless heterogeneous networks: a comprehensive survey

In the last few decades, the popularity of wireless networks has been growing dramatically for both home and business networking. Nowadays, smart mobile devices equipped with various wireless networking interfaces are used to access the Internet, communicate, socialize and handle short or long-term businesses. As these devices rely on their limited batteries, energy-efficiency has become one of the major issues in both academia and industry. Due to terminal mobility, the variety of radio access technologies and the necessity of connecting to the Internet anytime and anywhere, energy-efficient handover process within the wireless heterogeneous networks has sparked remarkable attention in recent years. In this context, this paper first addresses the impact of specific information (local, network-assisted, QoS-related, user preferences, etc.) received remotely or locally on the energy efficiency as well as the impact of vertical handover phases, and methods. It presents energy-centric state-of-the-art vertical handover approaches and their impact on energy efficiency. The paper also discusses the recommendations on possible energy gains at different stages of the vertical handover process

Analysis of coding on non-ergodic block-fading channels

We study coding for the non-ergodic block-fading channel. In particular, we analyze the error probability of full-diversity binary codes, and we elaborate on how to approach the outage probability limit. In so doing, we introduce the concept outage boundary region, which is a graphical way to illustrate failures in the decoding process. We show that outage achieving codes have a frame error probability which is independent of the block length. Conversely, we show that codes that do not approach the outage probability have an error probability that grows logarithmically with the block length

Dynamic Mobile Edge Computing empowered by Reconfigurable Intelligent Surfaces

The goal of this work is to propose a novel algorithm for energy-efficient, low-latency dynamic computation offloading in mobile edge computing (MEC), in the context of 5G (and beyond) networks endowed with Reconfigurable Intelligent Surfaces (RISs). In our setting, new requests for computations are continuously generated at each user, and are handled through a dynamic queueing system. Building on stochastic optimization tools, we devise a dynamic algorithm that jointly optimizes radio resources (i.e., power, rates), computation resources (i.e., CPU cycles), and RIS reflectivity parameters (i.e., phase shifts), while guaranteeing a target performance in terms of average end-to-end delay. The proposed strategy is dynamic, since it performs a low-complexity optimization on a per-slot basis while dealing with time-varying radio channels and task arrivals, whose statistics are unknown a priori. Numerical results corroborate the benefits of our strategy in the context of RIS-empowered MEC systems

Narrowband IoT service provision to 5G user equipment via a satellite component

© 2017 IEEE. Today an estimated 15 billion of connected objects communicate with each other's. These connected objects that compose the Internet of Things (IoT) are expected to extend to 50 or 80 billion worldwide by 2020. Bringing wide-area connectivity for the IoT using satellite technology is therefore an attractive solution to complement terrestrial networks, allowing densification and coverage extension in remote areas. This paper deals with seamless integration of satellites and high altitude platforms (HAPS) into 5G networks. It describes the necessary modifications to operate on 5G systems in order to take satellite and HAPS specifics into account. Link budget calculations and system dimensioning, including channel modeling, are provided to determine the required satellite and HAPS performance as well as to estimate the number of served users per km