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Smart optimisation of radio resource distribution techniques is crucial in improving the overall performance of Next-Generation Networks (NGNs). Since higher data rates, lower latency and increased fairness for users are the main goals, an efficient scheduling algorithm has to be used. In this paper an evaluation of the performance of an indoor network is realised using the Realistic Indoor Environment...
Large-scale data analysis applications are becoming more and more prevalent in a wide variety of areas. These applications are composed of many currently available programs called analysis components. Thousands of analysis component processes are orchestrated on many compute nodes. This paper proposes a novel self-tuning framework for optimizing an application's throughput in large-scale data analysis...
A common practice for application developers is to experimentally determine the granularity of a task after a code has been parallelized based on the observed overhead of a runtime. Instead, we propose a new methodology based on an extended Roofline model to provide practical upper bounds on the throughput performance of an application. First, we extend the Roofline model to support not only latency...
The emerging traffic demand has triggered an impressive deployment of network infrastructure, including macro Base Stations (BSs) and Small Cells (SCs), leading to increased energy consumption and expenditures. However, the network underutilization during low traffic periods (e.g., night zone) enables the Mobile Network Operators (MNOs) to save energy by having their traffic served by third-party...
Long Term Evolution (LTE) is the most recent evolution of mobile phone standards; it has been proposed to provide higher throughput and better spectral efficiency. However with the increasing of services applications supported by each device in LTE networks, the resources sharing function is one of the key challenging issues. In this context, Logical Channel Prioritization (LCP) is referred. In this...
Simplicity of usage, flexibility of data access, ease of maintenance, time and energy efficiency, and pay as you go policy have increased the usage of cloud computing over traditional computing. Cloud computing should be able to meet the performance expectations of different classes of customers. However, inefficient scheduling algorithms decrease the quality of service experienced by users. To improve...
Wireless networking enhanced with multiple transmitting channels has been considered to improve the utilization of the electromagnetic spectrum and to provide ways to accommodation the growing demand for connectivity. In this scenario, the use of a common control channel to coordinate the stations and networking resources is usually employed. This work evaluates the control channel capacity and its...
An orthogonal modulation enabled two-phase energy-efficient framework is presented for active cooperation between secondary users (SUs) and primary users (PUs) in a cognitive radio network. Since the PU has higher priority, and SUs compete for spectrum accessing, we model the power control problem as a Stackelberg game which incorporates throughput and energy consumptions into utility design. Due...
A clearing function that can capture the nonlinear relationship between workloads and throughput and also reflect capacity improvement by engineering activities on a multioperation workcenter is developed and implemented in an integrated model for planning both production and engineering process improvement. Marginal cost analysis through Karush-Kuhn-Tucker(KKT) optimality conditions provides useful...
Low spectrum utilization and lack of spectrum for new wireless services led to think of unlicensed devices that may operate on spectrum holes as and when required with a constraint of preserving the rights of licensed users. Cognitive radios have been proposed as one of such promising solutions for increasing spectrum utilization and in turn helping to resolve spectrum scarcity problem. As the spectrum...
System performance of cellular networks could be improved by D2D communication. A retransmission scheme within D2D group is proposed for the case of data sharing. When all the D2D UEs failed to get data packet from BS by cellular links, retransmission is still carried out within the group. Because of the enhancement of receiving SNR, a UE could decode the data with a higher probability. Analysis and...
In the cognitive radio systems, sensor nodes perform a backoff process as soon as the clear channel assessment (CCA) detects a busy channel. In doing so they may neglect the implicit information of the failed CCA detection and further cause the redundant sensing. The blind backoff process in the CSMA/CA will cause lower channel utilization. This paper proposes an enhanced carrier sensing algorithm...
Modern embedded systems are increasingly likely to be distributed across multiple devices and platforms that must interact with high precision across wireless networks. Traditional ways of managing the wireless radio spectrum suffer from two fundamental limitations, which the research presented in this paper addresses: (1) spectrum is divided a priori into static coarse-grained partitions without...
Relay is used in LTE-Advanced cellular networks to assist eNB(evolved Node Base-station) for coverage extension and throughput enhancement. Compared to eNB, relay is advantageous on both equipment cost and site cost. How to deploy relays to maximize the performance gain with a reasonable cost subject to a number of system constraints such as interference caused and backhaul subframe allocation is...
Customisable data formats provide an opportunity for exploring trade-offs in accuracy and performance of reconfigurable systems. This paper introduces a novel methodology for mixed-precision comparison, which improves comparison performance by using reduced-precision data paths while maintaining accuracy by using high-precision data paths. Our methodology adopts reduced-precision data-paths for preliminary...
In order to solve the problem that the existing resource allocation strategies cannot give integrative consideration to QoS, spectrum efficiency for mixed traffic, this paper proposes a utility-based resource allocation algorithm for mixed traffic in wireless networks. The unified utility function for users with different traffics is studied first. After that, the optimization model for the resource...
In this paper, we investigate the utility-based resource allocation problem in OFDMA relay networks with service differentiation, where Rate Constraint (RC) and Best Effort (BE) services are supported. Our objective of resource allocation is to maximize the sum utility of BE service users, while guaranteeing that the utility of each RC service user is equal to one. A joint optimization problem for...
Most of current cellular networks are designed for transmitting packet data and voice services. Several types of traffic such as voice, WAP, Web, FTP and E-mail with different ON/OFF distributions have to be supported by these networks. It is therefore important to know their performance in such systems. In this paper we develop a performance analytical model which takes into account the different...
With the increasing throughput demands of wireless users, operators will need to build wireless networks with significantly larger capacities than those presently available. Therefore for the next generation of wireless networks (4G) a significant effort is being placed on increased spectral efficiencies. One means of achieving higher spectral efficiencies is through the use of Distributed Antenna...
Synchronous dataflow graphs (SDFGs) are widely used to model streaming applications such as signal processing and multimedia applications. These are often implemented on resource-constrained embedded platforms ranging from PDAs and cell phones to automobile equipment and printing systems. Trade-off analysis between resource usage and performance is critical in the life cycle of those products, from...
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