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The interest in using TV white space spectrum for unlicensed wireless communication has been growing in recent years, due to increasing demands for wireless broadband access and spectrum scarcity. An open question is how to assess the potential of TV white spaces. In this paper, a comparison between urban and rural environments is presented, with the focus on TV white space capacity. A new metric,...
To meet the challenge of the ever-growing traffic volume in current wireless communications, ultra-dense network (UDN) deployment with high system capacity has attracted wide attention in recent years. However, existing researches on UDN mainly focus on system throughput while ignore energy efficiency (EE). Therefore, we will analyze the UDN performance including not only system throughput but also...
Ultra dense indoor deployment is widely recognized as one of the predominant network configurations of the future wireless systems. Dense indoor deployments are characterized by severe interference between co-channel access points deployed usually in close proximity of one another. Thus the effectiveness and efficiency of interference management techniques is the key to the success of ultra dense...
Endowed with context-awareness and proactive capabilities, caching users' content locally at the edge of the network is able to cope with increasing data traffic demand in 5G wireless networks. In this work, we focus on the energy consumption aspects of cache-enabled wireless cellular networks, specifically in terms of area power consumption (APC) and energy efficiency (EE). We assume that both base...
In this paper, we analyze and optimize the performance of distributed routing schemes in multihop wireless ad-hoc networks. We assume that the nodes are distributed according to a Poisson-Point-Process (PPP) and consider routing schemes that select the next relay based on geographical locations and local knowledge of the channel state (CSI). At the first stage we define the optimization problem and...
Location awareness is one of the most important requirements for many future wireless applications. Multipath-assisted indoor navigation and tracking (MINT) is a possible concept to enable robust and accurate localization of an agent in indoor environments. Using a-priori knowledge of a floor plan of the environment and the position of the physical anchors, specular multipath components can be exploited,...
This paper considers a scenario of short-range communication, known as device-to-device (D2D) communication, where D2D users reuse the downlink resources of a cellular network to transmit directly to their corresponding receivers. In addition, multiple antennas at the base station (BS) are used in order to simultaneously support multiple cellular users using multiuser or massive MIMO. The network...
While workload collocation is a necessity to increase energy efficiency of contemporary multi-core hardware, it also increases the risk of performance anomalies due to workload interference. Pinning certain workloads to a subset of CPUs is a simple approach to increasing workload isolation, but its effect depends on workload type and system architecture. Apart from common sense guidelines, the effect...
We propose a model for heterogeneous cellular networks assuming a space-time Poisson process of call arrivals, independently marked by data volumes, and served by different types of base stations (having different transmission powers) represented by the superposition of independent Poisson processes on the plane. Each station applies a processor sharing policy to serve users arriving in its vicinity,...
Web services have increasingly begun to rely on public cloud platforms. The virtualization technologies employed by public clouds can however trigger contention between virtual machines (VMs) for shared physical machine (PM) resources thereby leading to performance problems for the Web service. Past studies have exploited PM level performance metrics such as Clock Cycles Per Instruction to detect...
Machine learning based link optimization of wireless communications often relies on past experience, accurate estimation of channel conditions, and theoretical performance models. Typically, theoretical models poorly match given situations, past experiences are limited, and spectrum sensing of noise and channel conditions pose many hurdles. Hence, traditional cognitive radio engines based on genetic...
Self-Organizing Networks (SON) and a number of SO functions (SFs) have been proposed, e.g. in the LTE standard. Since SFs operate on the same network, adjusting the same set of parameters, conflicts arise. Mechanisms are thus required to resolve or minimize these conflicts. We propose Space-Time scheduling procedures that allow for separating the execution of SFs at different space and time points...
Consider the opportunistic network application scenario in which mobile node users socialize with nearby users of common interest, but there exists no pre-established session by which users register or de-register their presence. As nodes are dynamically joining and leaving the network, how a node discovers any newly joined nodes or knows when to release conversations from nodes who have left the...
Viterbi sequence detectors and Turbo decoders are widely used in the receivers of mobile communications systems. They are offer an efficient means of implementing a near-maximum likelihood receiver. However, Viterbi sequence estimators are usually based on the assumption of Gaussian noise and/or interference statistics. It is becoming clear that for third generation and enhanced second generation...
This paper studies the Power Line Communications (PLC) and tackles the problem of criss-cross noise. In the literature, it is proposed to use Reed-Solomon code concatenated with convolutional code associated with an interleaver. For instance in the context of smart grid, some standards like G3 and IEEE 1901.2 use this scheme. However, the narrowband interference and impulsive noise, which are typical...
To help unlicensed users to use the maximum available licensed bandwidth, an opportunistic communication technology called cognitive radio, (CR) is developed. It has recently attracted a great deal of research interest. Even though the majority of future wireless devices will be mobile, mobility is yet unexplored in the context of CR. There is no proper framework for mobile CRs to effectively use...
Live migration of virtual machines (VMs) is widely used for managing cloud computing platforms. However, live migration causes performance interference on cloud services running on migrated VMs or other VMs collocating with the services during or after migration. Although migration time and downtime are mainly for measuring live migration performance, cloud administrators must take live migration-performance...
In this paper, we investigate the Energy Efficiency (EE) — Spectrum Efficiency (SE) tradeoff issue in an OFDM-based cognitive radio (CR) network. A multi-objective resource allocation problem is formulated, where we try to maximize the EE and the SE simultaneously. The Pareto optimal set of the formulated problem is characterized by analyzing the relationship between the EE and the SE. To find a unique...
Wireless Mesh Networks (WMN) are considered as robust architecture to provide reliable connectivity to fixed and mobile users. The redundant infrastructure provided by WMN can be efficiently utilized using multipath routing. However, the performance gain of multipath routing mainly depends on efficient path selection protocols. The omni-directional wireless medium, unstable link quality and mutual...
Voice over LTE (VoLTE), adopted as a standard technology by 3GPP is confronted by a number of challenges due to different Quality-of-Service (QoS) requirements as well as the Inter-Cell Interference (ICI) problem. In this paper, a novel Resource Allocation (RA) strategy for improving VoIP capacity in LTE uplink system is proposed. Our strategy improves the VoLTE performance simply by prioritizing...
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