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Adaptive borrow-repay resource allocation uses the positioning information when temporal communication disconnection is expected. It borrow the required bandwidth and repay later. Obstructions such as tunnels or buildings between satellite terminals and satellites may temporarily disconnect the satellite communication and result in the performance degradation of TCP. In this paper, we propose the...
With the rapid growth of Cloud Computing technologies, enterprises are increasingly deploying their services in the Cloud. Dynamically priced cloud resources such as the Amazon EC2 Spot Instance provides an efficient mechanism for cloud service providers to trade resources with potential buyers using an auction mechanism. With the dynamically priced cloud resource markets, cloud consumers can buy...
This paper proposes a novel approach to integrate plugged-in electric vehicles (PEVs), electric vehicle supply equipments (EVSEs), and smart grid (SG) infrastructure using state of the art software-defined network (SDN) technology, which has a potential to provide unprecedented flexibility to smart grid communication network. We further present set-cardinality based search algorithms for assigning...
The key to maintaining high standards of quality and power conservation of physical machines in data centers lies in efficient consolidation of virtual machines (VMs). Several schemes have been proposed for this purpose; and these include online migration and VM placement — which can offer the best in terms of resource utilization. The consolidation process can be made effective by finding “opportunities”...
In this work, information security of a cooperative wireless communication system over three-phase amplify-and-forward (AF) two-way relaying channels is investigated. A relay power allocation scheme is proposed to improve secrecy capacity of the system. We first derive the secrecy rate expression for the basic scenario which consists of one source, one destination, one single relay, and an eavesdropper...
In this paper, we investigate the resource allocation for the video streaming service in the cognitive radio network (CRN) based on orthogonal frequency division multiple access (OFDMA). Considering the channel estimation error between secondary transmitters (STx) and primary receivers (PRx), we address the probabilistic interference constraint model. With imperfect CSI between STx and secondary receivers...
To satisfy various quality-of-service (QoS) requirements of different services in future fifth generation wireless networks, wireless virtualized network (WVN) architectures have been proposed to concurrently fulfill diversified service demands via network slicing technologies. Considering the dynamic characteristics of wireless channels and user traffic, the resource allocation problem in a WVN with...
In recent years, numbers of non-orthogonal multiple access (NOMA) schemes have been proposed to support the great amounts of wireless connections. However, complex multi-user detection is needed in case that the user power differentiation is not available and simple successive interference cancellation cannot directly apply, which usually incurs unaffordable computational complexity. In this paper,...
In this paper, we investigate the modulation order selection and power allocation for energy efficient (EE) orthogonal frequency division multiplexing (OFDM) visible light communication (VLC) systems. Unlike the widely studied Gaussian inputs, we consider that each subcarrier has discrete modulation scheme inputs. Under the constraints of the maximum total transmission power and the minimum spectral...
In order to reduce the effect of pilot contamination and maximize the system sum rate while guaranteeing the fairness among users, an efficient and fair pilot allocation scheme is proposed for multi-cell massive MIMO systems in this work. The pilot allocation optimization problem is formulated to maximize the sum rate of the system while guaranteeing the fairness among users. A heuristic algorithm,...
Massive machine type communication (mMTC) is one of the three significant scenarios in 5G, which is characterized by massive connection and low energy consumption. To meet these requirements, the contention based grant-free sparse code multiple access (SCMA) transmission which can support a large number of devices and reduce the cost of signaling overhead caused by massive connection is proposed....
Due to the limited frequency and energy resources, cooperative satellite communication (SATCOM) systems have been widely studied. To improve the spectrum efficiency further, we propose to combine non-orthogonal multiple access (NOMA) with cooperative SATCOM systems in this paper. Under the condition of fixed total transmit power, an optimization problem is formulated to maximize the sum-rate with...
We consider a two-way cognitive radio relay network where two secondary users (SUs) can simultaneously transfer energy and information to a relay. Then, a joint optimization algorithm for power allocation and energy cooperation is proposed. The algorithm proves that the formulated throughput maximization problem is a convex optimization problem. Next, we decompose the formulated problem into a power...
Dynamic Spectrum Access (DSA) based Cognitive Radio (CR) allows a secondary user (SU) to use spectrum in an opportunistic manner when the primary user (PU) of that spectrum is not transmitting. Conventional dynamic spectrum allocation methods deal with acquiring spectrum as fixed width channels. In this paper, we propose a novel technique where a node inside a network can dynamically access the spectrum...
A major challenge of running applications in clouds is to determine the right number of resources (virtual machines or VMs) to rent in terms of both performance and cost. Such a challenge becomes greater if the application requires to run across multiple resources. In this paper, we address the problem of scheduling scientific workflow applications. The structure of workflows, dictated by precedence/data...
This paper addresses the challenging problem of guaranteeing quality-of-service (QoS) requirements associated with parallel running queries in distributed stream processing engines. In such platforms, the real-time processing of streaming data often requires executing a set of user-defined queries over continues data flows. However, previous studies showed that guaranteeing QoS enforcement (such as...
In this paper, we study the energy-efficient user access control (UAC) based on resource allocation (RA) in heterogeneous cellular networks (HCNs) with the required downlink data rate under non-ideal power amplifiers (PAs) and circuit power. It is proved that the energy consumption minimization is achieved when the typical user accesses only one base station (BS), while the other BSs remain in idle...
This paper investigates the resource allocation problem in heterogeneous cognitive radio networks (HCRNs). In this paper, two types of users, i.e., multi-homing and single-network cognitive radio users (CRUs), are considered to coexist in HCRNs. Multi-homing CRUs can access multiple networks simultaneously, while single-network CRUs can be served by only one network at a time. With the aim of maximizing...
Distributed generation (DG) is utilized in electric power networks for the purpose of loss reduction, environment friendly features, and voltage improvement. This paper determines optimal allocation of DGs through Multi-Objective Index (MOI) for improving voltage stability and decreasing line losses of radial distribution system. Multiple objectives are merged using weighting factors and investigated...
With the aim of regeneration efficiency and braking effect, this paper focuses on cooperative control of regenerative braking and hydraulic braking for rear-wheel-drive electric vehicle (EV), and designs a model predictive controller to maintain the slip ratio within an optimal range by adjusting the braking torque continuously. Besides, a new braking torque allocation strategy is put forward in view...
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