The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
We study the joint power allocation (PA) and relay selection (RS) for a two-way relay (TWR) network supporting asymmetric traffic rates through decode-and-forward (DF) protocol. We aim at minimizing the outage probability of the system under the total power constraint. We first recast our considered problem into a convex optimization form from which the closed-form solution is obtained. Then, the...
There is a big potential to enable more efficient data dissemination in mobile Delay-Tolerant Networks (DTNs) with the concurrent use of multi-copy forwarding and social metrics. However, this also leads to the possibility of severely overloading the relay nodes with high social metrics, and consequent performance degradation. We propose a fair source quota allocation algorithm to effectively alleviate...
Load imbalance problem is one of the major obstacles to achieving optimal performance of High Performance Computing applications. The approach of trying to distribute the problem pieces to each node with the hope of balancing execution time has limits since the performance depends not only on data size but also on many other dynamic factors. This paper describes an approach that uses adaptive resource...
Recently, a number of offloading approaches have been proposed to reduce the burden on the cellular infrastructure, especially during peak hours. Ranging from pure data offloading concepts using local caches to fully-fledged services operating on ad hoc networks, these approaches are mostly tuned towards their performance. Consequently, cache hit ratios, achieved throughput, or end-to-end latencies,...
In this paper, we focus on improving the performance of a two-way relay network consisting of two end nodes and multiple relays. It is assumed that the system utilizes multiple access broadcast as the transmission protocol and decode and forward as the relaying protocol. The performance metric of the system is outage probability and we try to improve it by creating diversity gain and coding gain....
Downlink non-orthogonal multiple access (NOMA), where users are paired as user set and multiplexed in the power domain, is a promising technology for fifth generation (5G) communication system. This paper studies joint optimization of user pairing and power allocation to maximize generalized proportional fair metric subject to transmit power constraints. This problem can be divided into two parts:...
Multi-tier heterogeneous networks have become an essential constituent for next generation cellular networks. Mean-while, energy efficiency (EE) has been considered a critical design criterion along with the traditional spectral efficiency (SE) metric. In this context, we study power and spectrum allocation for the recently proposed two-tier network architecture known as phantom cellular networks...
We are facing an increasing interest about virtualization technologies that enable new paradigms and technical approaches like Cloud Computing, Software Defined Networks. Infrastructure Providers (InPs), managing distributed physical resources, need to perform the mapping of the requested virtual resources on the physical ones. For this purpose, they need to optimize the allocation process in order...
Application performance data accounting for resource contention and other external influences is highly coveted and extremely difficult to obtain. "Why did my application's performance change from the last time it ran?" is a question shared by application developers, program analysts, and system administrators. The answer to this question impacts nearly all programmatic and R&D efforts...
Generally, an elastic optical network (EON) under a dynamic connection (non-uniform bandwidth) set up and termination scenario leads to spectrum fragmentation, and results in higher blocking probability. To overcome this problem, a defragmentation of the spectrum can be applied by reconfiguring some or all connections in the network. However, reconfiguration can interrupt the services of the existing...
Millimeter-wave (mmWave) communication is envisioned to be a promising technology to cater for the continuous growth of wireless communication capacity demand. To compensate severe path loss for mmWave signals, mmWave system typically employs beamforming technique to achieve essential antenna gain. To provide services to multiple user equipment (UE), mmWave system needs to schedule UEs in both frequency...
Modern multicore architectures require runtime optimization techniques to address the problem of mismatches between the dynamic resource requirements of different processes and the runtime allocation. Choosing between multiple optimizations at runtime is complex due to the non-additive effects, making the adaptiveness of the machine learning techniques useful. We present a novel method, Machine Learned...
Due to proliferation of mobile devices, the demand for video in cellular networks has increased exorbitantly. However, cellular networks have limited resources and the wireless medium is time-varying in nature. This necessitates the video streaming protocols to be re-designed taking into account the overall quality of experience (QoE) of the end users. In this paper, we propose a metric called enhanced-time...
We propose a cross layer design that optimizes the energy efficiency of spectrum sharing systems. The energy per good bit (EPG) is considered as an energy efficiency metric. We optimize the secondary user's transmission power and media access frame length to minimize the EPG metric. We protect the primary user transmission via an outage probability constraint. The non-convex targeted problem is optimized...
An analytical approach is developed to evaluate the performance of a hybrid base station (BS) location model which considers the location regularity of macro BSs and topological randomness of small BSs, where the coverage probability and spectral efficiency are derived and verified by simulation. When both tiers have the same BS intensity, the tier of tessellated macro BSs achieves a 50% advantage...
Cloud computing is closely related to multi-tenancy, as it relies on resources that are shared among multiple clients. The provisioning and management of storage resources for cloud applications is an interesting research topic, as reallocation of data over time should be minimised, and the developed strategy should guarantee both data separation and performance isolation for every tenant. In this...
Through the collection and association of discrete time-series resource metrics and workloads, we can both provide benchmark and intra-job resource collations, along with system-wide job profiling. Traditional RDBMSes are not designed to store and process long-term discrete time-series metrics and the commonly used resolution-reducing round robin databases (RRDB), make poor long-term sources of data...
The system administrator, faces an arduous task of figuring out whether to consolidate storage workloads, which workloads to isolate, which workloads to co-locate, and how to reduce the interference on co-located workloads? This paper presents an approach to ease this arduous task. We consider different mixes of enterprise storage applications on a high-end SSD to study their performance, system throughput...
Non-orthogonal multiple access (NOMA) is a promising technology for the fifth generation. However, the increasing number of multiplexed users brings two challenges. One is the computational complexity of existing grouping schemes increases rapidly. The other is the performance of multiplexed users deteriorates sharply. To deal with these challenges, we propose a novel multi-user grouping scheme with...
Participatory Sensing is an emerging paradigm that enables users carrying sensors-equipped smart devices to gather and share data about a particular phenomenon. However, involving individuals in sensing tasks raises new challenges such as the quality of collected data, denoted as Quality of Information (QoI), and the dedicated resources for its acquisition. Besides, a fair task assignment is highly...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.