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This paper proposes an algorithm for optimal decentralized traffic engineering in communication networks. We aim at distributing the traffic among the available routes such that the network utility is maximized. In some practical applications, modeling network utility using non-concave functions is of particular interest, e.g., video streaming. Therefore, we tackle the problem of optimizing a generalized...
Vehicle-to-everything (V2X) communications, enabled by cellular device-to-device (D2D) links, have recently drawn much attention due to its potential to improve traffic safety, efficiency, and comfort. In this context, however, intracell interference combined with demanding latency and reliability requirements of safety vehicular users (V-UEs) are challenging issues. In this paper, we study a resource...
With the ever-increasing demand for high quality video, mobile video transmission optimization over limited wireless network capacity has been attracted extensive attention. HTTP Adaptive Bit Rate (ABR) streaming is a main solution to provide better Quality of Experience (QoE) by adapting multimedia content over wireless channels real-timely. Deployment of caching in wireless network has been considered...
In this paper, we propose a novel network model for RF-powered cognitive radio networks and ambient backscatter communications. In the network under consideration, each secondary transmitter is able to backscatter primary signals to the gateway for data transfer or to harvest energy from the primary signals and then use that energy to transmit data to the gateway. To maximize overall network throughput...
Sensor-cloud was introduced to create a cloud environment where a geographically distributed pool of sensors (physical or logical) and cloud resources can be shared between numerous applications. In addition, sensor-cloud hides the complexity and heterogeneity of underlying physical/logical sensors from applications. Based on the applications' requirements, the sensor-cloud creates virtual sensors...
Mobile edge computing is a novel technique in which mobile devices offload computation-intensive tasks with stringent delay requirements to the edge cloud. However, the limited computational resource in the edge cloud may result in the Quality of Service degradation. In this paper, we address this issue by coordinating the heterogeneous cloud which includes the edge cloud and the remote cloud. Considering...
Wireless caching enables popular files to be stored at the base stations (BSs) in advance, which has been considered as an efficient way to reduce the service delay and alleviate heavy burdens on the backhaul links. In this paper, we study the BS clustering scheme for the cooperative wireless caching networks (CWCNs) with heterogeneous file preference among users and BSs, and propose the minimum cost...
To provide better usage of spectrum, regulators, such as the FCC and Ofcom, have been considering how to share spectrum between operators and also between different types of network. Two important aspects of any mobile service that need to be considered are how to ensure the appropriate level of service to individual users and how to minimize power consumption. This paper addresses the issue by applying...
Small cells will play an important role in the fifth generation mobile networks. As recent works pointed out, a significant improvement in energy efficiency can be obtained if small base stations (SBSs) are provided with storage capabilities. In this paper, we study the problem of caching optimization in the presence of interference with and without cooperation between the SBSs. We consider a setup...
With Network Function Virtualization (NFV), network functions are deployed as modular software components on the commodity hardware, and can be further chained to provide services, offering much greater flexibility and lower cost of the service deployment for the network operators. At the same time, replacing the network functions implemented in purpose built hardware with software modules poses a...
We address the problem of energy efficient power and bandwidth allocation for hybrid automatic repeat request (HARQ) in multiuser ad hoc networks with statistical channel state information (CSI) and practical modulation and coding schemes (MCS) under quality of service (QoS) constraints. Using an upper-bound of the packet error rate, we propose an algorithm to maximize the sum of the energy efficiency...
In this paper, we investigate an energy-efficient joint subcarrier and power allocation algorithm for improving the worst energy efficiency (worst-EE) in multiuser two-way amplify-and-forward (AF) relay networks, that not only balances the EE of the two-way links, but also ensures the desired quality-of-service (QoS) of each user. In order to maximize the worst-EE, an EE-balancing optimization problem...
In this paper, a load-balancing scheme is investigated for C-RAN to optimise its performance subject to physical resource limitation and users Quality of Service (QoS) demands constraints. The Remote Radio Heads (RRHs) are allocated to the Base Band Units (BBUs) dynamically for load balancing and efficient resource utilisation. Dynamic BBU-RRH mapping is formulated as a linear integer-based constrained...
Distributing scarce spectral resources among the unlicensed users has been an attractive research area for Cognitive Radio Network's (CRN) research community. A resource distribution technique, which emphasizes fairness, ensures allocation of resources for all Secondary Users (SUs) irrespective of their data rates and may cause efficiency loss for the CRN. On the other hand, a throughput based resource...
In this paper, we study the resource allocation issues related to OFDM-based multiuser cognitive radio cellular networks, where both of primary network and secondary network are investigated to make an all-round evaluation of the network performance, including the Quality of Experience (QoE) of the primary users (PUs) and the minimal rate requirement of the secondary users (SUs). Since the general...
This paper aims to improve the user Quality of Service (QoS) in 5G networks by introducing a user-centric view that exploits the predictability of the user's daily motifs. An agglomerative clustering is used to identify these motifs according to the cells in which the user is camping during the day. Then, a technique to extract the personalised QoS observed by the user is proposed. The methodology...
This paper presents a method of cloud resource allocation designed to take into account both consumers and providers' interests. This comes in contrast to today's provider centered models that subject users to more restrictive terms and conditions. Both parties' interests are computed in the form of integer constraints. Costs and availability are embedded as key objectives and performance criteria...
In this paper, we design a game theoretical framework for improving the Quality of Service (QoS) in cooperative RAN caching. Considering the cooperation under both single cell transmission and joint transmission, the QoS metric is uniformly quantified as the total content delivery time. Although the formulated cooperative content placement problem is proved NP-hard, noticing the local cooperative...
Energy optimization in cellular networks has been studied using different perspectives in the literature: sleep patterns, network interference, association of users and base stations, resource allocation of resources (bandwidth and power), etc. All these means have been discussed individually in previous works. However, none of the existing works has succeeded in proposing an exact mathematical model...
The concept of the wireless dynamic network architecture (DNA) stands for a system design, which allows terminals to convert into temporary access points (APs) when necessary. In this paper, we propose a framework to solve the problem of load balancing in DNA. Particularly, the user association in DNAs is optimized to minimize the number of active APs and the network cost in terms of tradeoff between...
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