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We propose a decentralized algorithm to help reduce demand-supply imbalance in a power grid by varying the demand from loads, just like charging and discharging a battery. The algorithm ensures strict bounds on the consumers' quality of service (QoS) by constraining the bandwidth of demand variation. A model-predictive-control formulation is adopted to compute local decisions at the loads. The algorithm...
We propose a model of incentives for data pricing in large mobile networks, in which an operator wishes to balance the number of connexions (active users) of different classes of users in the different cells and at different time instants, in order to ensure them a sufficient quality of service. We assume that each user has a given total demand per day for different types of applications, which he...
Wireless channels in millimeter wave based wearable networks are particularly susceptible to environmental blockages and dynamics when there are humans/objects in motion. Such dynamics imply, not only physical layer overheads to discover and track viable transmission paths, but also MAC overheads to keep track of neighboring interferers, perform clustering and enable proper scheduling of transmissions...
The proper design of a vehicular network is the key expeditor for establishing an efficient Intelligent Transportation System, which enables diverse applications associated with traffic safety, traffic efficiency, and the entertainment of commuting passengers. In this paper, we address both safety and Quality-of-Service (QoS) concerns in a green Vehicle-to-Infrastructure communication scenario. Using...
Energy efficiency (EE) is a key metric in future green wireless networks. In this paper, we study the secure simultaneous wireless information and power transfer (SWIPT) in a downlink multiple-input-single-output (MISO) system, where the energy efficiency (EE) of the system is guaranteed. By jointly designing the transmit beamforming (BF), artificial noise (AN) and power splitting (PS) ratio, the...
Today, many large usages of computer systems, cloud computing, high-performance networks and their connections through networks are available electronically and they rapidly increased. These large-scale networks are fault tolerant and require a repairmen policy for maximising Quality of Service (QoS). However, obtaining QoS of large-scale networks analytically is difficult due to the state space explosion...
Data aggregate point (DAP) placement is one of the great challenges in implementing smart grid. The placement problem involves determining the optimal number and locations of DAPs, while maintaining a desired level of quality for each communication link that connects a smart meter to its associated DAP. Having smart meters on different feeders in the power network, connecting to the same DAP in the...
Recently, Cognitive network has drawn the attention as a promising technology to enhance communication system performance by efficiently utilizing system resources. It provides prompt response to dynamic changes. In this paper, a modified multi-objective particle swarm optimization (M-MOPSO) is proposed in Cognitive IP Multimedia Subsystem (CogIMS) to improve the global network performance. The implementation...
With the rapid growth of the cloud industry in recent years, energy consumption of warehouse-scale datacenters has become a major concern. Energy-aware Virtual Machine consolidation has proven to be one of the most effective solutions for tackling this problem. Among the sub-problems of VM consolidation, VM placement is the trickiest and can be treated as a bin packing problem which is NP-hard, hence,...
The exponential growth of cloud based applications and the increased number of cloud users have given rise to new challenges for cloud service providers, especially for Infrastructure as a Service (IaaS) providers. This exponential growth of datacenters increases the energy consumption, along with its carbon footprints. Hence, better energy aware techniques not only reduce energy costs, but they are...
This paper investigates relay selection and subcarrier allocation in cooperative OFDMA systems where users with best-effort (BE) service and rate-constrained (RC) service coexist. We formulate the problem as a binary integer linear programming to maximize the network data rate with quality-of-service (QoS) requirements. A greedy algorithm is proposed for the degradation problem of only BE users and...
Cognitive radio (CR) is the current growing technology in wireless communication field and has increase the ability to use the frequency spectrum more properly. The main objective of cognitive radios is to sense the surrounding and use primary user's vacant spaces and allot them to the secondary users without interference each other. This paper presents the optimal solution and optimizes the Quality...
This paper investigates the problem of interference among the simultaneous multiuser transmissions in the downlink of multiple antennas systems. Symbol-level precoding (SLP) is a promising technique which has recently demonstrated large performance gains over the conventional block-level techniques. These gains can be translated in lower power requirements, improved energy efficiency, lower peak to...
In wireless networks, providing a high fairness allocation isbecoming a very challenging task. This paper has two objectives:firstly, we proposed a new optimization problem called SatisfactionProbability which consists in maximizing the number of satisfiedusers and secondly, we proposed a new scheduling scheme calledQoE-aware Multi-step Opportunistic (QEMO) scheduler. QEMO is builtin an extended cross-layer...
Reducing energy consumption is one of the key considerations for Cloud Providers (CPs). A traditional approach to address this issue is to formulate it into an optimization problem with QoS and server temperature constraints. In this paper, we develop a Temperature-Aware Resource Management (TARM) algorithm using Lyapunov Optimization theory. One advantage of our approach is that we use a “soft” (average)...
This paper shows that many applications exhibit execution-phase-specific sensitivity towards approximation of the internal subcomputations. Therefore, approximation in certain phases can be more beneficial than others. Further, this paper presents Opprox, a novel system for application's execution-phase-aware approximation. For a user provided error budget and target input parameters, Opprox identifies...
Wireless networks are widely used in the real world. Innovations in technologies and electronics made wireless devices to become more possessive of resources. Resource hungriness is reducing. The result is in the form of wireless networks that can participate in multimedia applications. Such applications are bandwidth intensive and delay sensitive. Therefore they need to be handled with ideal strategies...
Although cloud storage service (CSS) is convenient to access data, the cost, security, and performance are the issues to users who consider to adopt CSS. For example, CSS could be unavailable due to technical issues or natural disaster. In order to avoid single point of failure, many users duplicate data into multiple CSS providers (CSPs). However, this will increase cost; decrease security; and is...
Cloud computing become a new technology in enterprises and markets. It allows us to access applications anywhere at any time. Companies rent the resources from cloud to reduce the cost. Further they can access the application based on pay as you go manner. The important issue in resource allocation is optimization of resources being allocated. The objective of resource allocation is to scale down...
To reduce the transmission power while maintaining quality of service requirements of users, more remote radio heads (RRHs) should be active, and this in turn increases the circuit power in the distributed antenna systems with simultaneous wireless information and power transferring. Yet, the above procedures may lead to an unbalanced power consumption between transmission and circuit; therefore causes...
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