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Electromagnetic interference can cause severe performance degradation on wireless communication systems. In modern military platforms there are many closely located electronic systems, which could potentially cause interference. The performance degradation is largely affected by the characteristics of the interference. With knowledge of the actual interference environment, radio receivers can be adapted...
Machine Type Communication (MTC) is a key component of future 5G networks, and its realization is now possible due to the advances in technology and the market drivers. Several challenges however exist which hinder the realization of MTC, among which signaling overhead is considered the prominent challenge, particularly due to the massive number of devices in MTC networks. In this work, we consider...
One of the key performance challenges in cloud computing is the problem of interference, or resource contention, among colocated VMs. While prior work has empirically analyzed interference for specific workloads under specific settings, there is a need for a generic approach to estimate application performance under any interference condition.In this paper, we present an analytical model to estimate...
Scheduling real-time applications on general purpose multicore platforms is a challenging problem from a timing analysis perspective. Such platforms expose uncontrolled sources of interference whenever concurrent accesses to memory are performed. The non-deterministic bus and memory access behavior complicates the estimations of applications' worst-case execution times (WCET). The 3-phase task model...
In this paper, we investigate the propagation coupling loss (captures all sources of attenuation between serving cell and mobile station (MS)) and geometry metric (GM) (downlink average signal-to-interference plus noise ratio) performance of mmWave cellular networks for outdoor and indoor MSs, considering urban micro (UMi) environments. Based on these studies, we identify effective mmWave frequency...
In this paper we present a novel dynamic spectrum sensing and access model in cognitive radio networks. This model allows secondary user (SU) to sequentially sense two times if necessary due to the false alarm, and choose different accessing manner according to the sensing result. In practice, sensing results often affect the data transmission in cognitive radio systems. Therefore, a hybrid interweave/underlay...
Probabilistic reasoning applied to dynamic spectrum sharing systems enables them to characterize situational uncertainties and determine acceptable spectrum access behaviors. Spectrum sharing systems may use sensing data to reduce situational uncertainty and improve spectrum sharing potential. Probabilistic reasoning approaches enable risk-constrained spectrum access, a concept in which spectrum sharing...
In this work, a multi-floor Poisson point process (MFPPP) model is proposed to analyze the performance of wireless networks inside a building, where the impact of penetration loss and floor height on the network performance is taken into consideration. According to the proposed MFPPP model, the coverage probability of the cross-floor max-signal-to-interference-plus-noise-ratio (SINR) association (CFMSA)...
In this paper, we propose an analytical framework for energy saving and outage performance of two-tier heterogeneous networks with traffic-based varying inter-tier dependence. Firstly, the Macro Base Station (MBS) tier and Pico Base Station (PBS) tier are deployed following a Poisson Point Process (PPP) and a Poisson Hole Process (PHP) respectively. Then, the exclusion radius of the MBS is designed...
Device-to-device (D2D) communications and open-access small cells can be leveraged to off-load delay-insensitive and cost-sensitive data from burdened cellular networks. The resulted system is called hybrid wireless networks, whose capacity and delay performance have been studied extensively under a popular information-theoretic framework called scaling law analysis. Most studies, however, do not...
Using the minimum number of broadcasts to flood information in a vehicle network so that the maximum number of vehicles receives the information is a critical issue. Up to now, no research reports show the relationship between broadcast radius and success rate, the one-hop broadcast efficiency (i.e., the ratio of nodes that successfully received nodes to all nodes within the broadcast range). Determining...
The existing cellular networks are being modified under the umbrella of fifth generation (5G) networks to provide high data rates with optimum coverage. Current cellular systems operating in ultra high frequency (UHF) bands suffer from severe bandwidth congestion hence 5G enabling technologies such as millimeter wave (mmWave) networks focus on significantly higher data rates. In this paper, we explore...
Machine-type communications (MTC), considered as one of potential technologies in 5G, has attracted more and more attention in recent years. Massive MTC connection density but with small data rate leads to preamble deficiency and network congestion in the network. In order to solve this problem, we jointly utilize the back off strategy and the hierarchical access control method. We formulate a Quality...
Wireless communications literature is very rich with empirical studies and measurement campaigns that study the nature of the wireless propagation channel. However, despite their undoubted usefulness, many of these studies have omitted a fundamental yet key feature of the physical signal propagation, that is, wireless propagation asymmetry. This feature does not agree with the electromagnetic reciprocity...
Due to its mathematical tractability, the homogeneous Poisson point process (PPP) has been employed to model wireless networks and analyze their performance. The PPP has the fundamental property that in a network with n nodes, the n nodes are distributed independently from each other. As such the PPP is not a suitable model for many networks where there exists a repulsion among the nodes. In order...
Millimeter wave (mmWave) communication offers Gbps data transmission, which can support massive data sharing in vehicle-to-infrastructure (V2I) networks. In this paper, we analyze the blockage effects among different vehicles and coverage probability of a typical receiver, considering cross street BSs near urban intersections in a multi-lane mmWave vehicular network. First, a three-dimensional model...
In this paper, we propose a unified framework to analyze the performance of dense small cell networks (SCNs) in terms of the coverage probability and the area spectral efficiency (ASE). In our analysis, we consider a practical path loss model that accounts for both non-line-of-sight (NLOS) and line-of-sight (LOS) transmissions. Furthermore, we adopt a generalized fading model, in which Rayleigh fading,...
This paper analyzes the downlink outage probability and spectral efficiency in the multi-tier heterogeneous networks according to the punctured Poisson Point Process (Punctured-PPP) base stations (BSs) distribution. To achieve a successful communication, we consider an exclusion region, centered at macro BSs locations, in order to restrict the small BSs transmission and avoid their high interference...
In this paper, we investigate the uplink transmission performance of low-power wide-area networks (LPWANs) with regards to coexisting radio modules using LoRa as an example. In doing so we adopt a new topology to model the network where the node locations of the network of focus (LoRa) follow a Poisson cluster process (PCP) while other coexisting interfering radio modules follow a Poisson point process...
We consider two-hop Device-to-device (D2D) relaying in multi-cell downlink networks. D2D relaying is envisioned to be a promising cell coverage extension technique, which can provide improved cell-edge performance without a dense infrastructure deployment. Relaying complicates the resource allocation and interference management in multi-cell networks. We first study the aggregate co-channel interference...
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