The Accuracy of Location Prediction Algorithms Based on Markovian Mobility Models

2011 ◽  
pp. 106-125
Author(s):  
Péter Fülöp ◽  
Sándor Imre ◽  
Sándor Szabó ◽  
Tamás Szálka
Keyword(s):  
Mathematical Models ◽  
Cellular Networks ◽  
Real Life ◽  
Access Networks ◽  
Base Stations ◽  
Optimal Placement ◽  
Wireless Access Networks ◽  
Traffic Characteristics ◽  
Proposed Model ◽  
802.11 Wlan

The efficient dimensioning of cellular wireless access networks depends highly on the accuracy of the underlying mathematical models of user distribution and traffic estimations. The optimal placement/deployment of e.g. UMTS, IEEE 802.16 WiMAX base stations or IEEE 802.11 WLAN access points is based on user distribution and traffic characteristics in the service area. In this paper we focus on the tradeoff between the accuracy and the complexity of the mathematical models used to describe user movements in the network. We propose a novel Markov chain based model capable of utilizing user’s movement history thus providing more accurate results than other models in the literature. The new model is applicable in real-life scenarios, because it relies on information effectively available in cellular networks (e.g. handover history). The complexity of the proposed model is analyzed, and the accuracy is justified by means of simulation.

scholarly journals Modeling multi-tier heterogeneous small cell networks: rate and coverage performance

2020 ◽  
Vol 75 (4) ◽  
pp. 369-382
Author(s):  
Moubachir Madani Fadoul
Keyword(s):  
Cellular Networks ◽  
Cellular Network ◽  
Factorial Moment ◽  
Base Stations ◽  
Small Cells ◽  
Relay Nodes ◽  
Small Cell Networks ◽  
Grid Model ◽  
Proposed Model ◽  
Cell Networks

Abstract The rapid growth of small cells is driving cellular network toward randomness and heterogeneity. The multi-tier heterogeneous network (HetNet) addresses the massive connectivity demands of the emerging cellular networks. Cellular networks are usually modeled by placing each tier (e.g macro, pico and relay nodes) deterministically on a grid which ignores the spatial randomness of the nodes. Several works were idealized for not capturing the interference which is a major performance bottleneck. Overcoming such limitation by realistic models is much appreciated. Multi-tier relay cellular network is studied in this paper, In particular, we consider $${\mathscr {K}}$$ K -tier transmission modeled by factorial moment and stochastic geometry and compare it with a single-tier, traditional grid model and multi-antenna ultra-dense network (UDN) model to obtain tractable rate coverage and coverage probability. The locations of the relays, base stations, and users nodes are modeled as a Poisson Point Process. The results showed that the proposed model outperforms the traditional multi-antenna UDN model and its accuracy is confirmed to be similar to the traditional grid model. The obtained results from the proposed and comparable models demonstrate the effectiveness and analytical tractability to study the HetNet performance.

Power Consumption in Wireless Access Networks

2019 ◽  
pp. 1076-1090
Author(s):  
Vinod Kumar Mishra ◽  
Pankaja Bisht
Keyword(s):  
Power Consumption ◽  
Communication Systems ◽  
Mimo System ◽  
Access Networks ◽  
Base Stations ◽  
Wireless Access ◽  
Total Power ◽  
Mobile Wimax ◽  
Wireless Access Networks ◽  
Coverage Area

Power consumption of mobile devices is a great concern in the current mobile communication systems. Recent analysis by manufacturers and network operators has shown that current wireless networks are not very energy efficient. Power consumption is directly related to the coverage area of the base station. So in this chapter, the authors analyze and compare the total power consumption, power consumption per covered area and ranges of the macrocell, microcell and femtocell base stations for Mobile WiMAX, fixed WiMAX, UMTS, HSPA, LTE for 1x1 SISO systems and mobile WiMAX, HSPA, and LTE will be considered for 2x2 MIMO system. The numerical example will be illustrated with help of simulation results. This chapter enables the reader for knowledge of power consumption in existing wireless access networks technology with current and future trends of research.

scholarly journals Performance Evaluation of 5G Millimeter-Wave Cellular Access Networks Using a Capacity-Based Network Deployment Tool

2017 ◽  
Vol 2017 ◽  
pp. 1-11 ◽  
Author(s):  
Michel Matalatala ◽  
Margot Deruyck ◽  
Emmeric Tanghe ◽  
Luc Martens ◽  
Wout Joseph
Keyword(s):  
Communication Networks ◽  
Millimeter Wave ◽  
Antenna Arrays ◽  
Access Networks ◽  
Base Stations ◽  
Reference Network ◽  
Wireless Access Networks ◽  
5G Networks ◽  
Data Intensive ◽  
Data Intensive Applications

The next fifth generation (5G) of wireless communication networks comes with a set of new features to satisfy the demand of data-intensive applications: millimeter-wave frequencies, massive antenna arrays, beamforming, dense cells, and so forth. In this paper, we investigate the use of beamforming techniques through various architectures and evaluate the performance of 5G wireless access networks, using a capacity-based network deployment tool. This tool is proposed and applied to a realistic area in Ghent, Belgium, to simulate realistic 5G networks that respond to the instantaneous bit rate required by the active users. The results show that, with beamforming, 5G networks require almost 15% more base stations and 4 times less power to provide more capacity to the users and the same coverage performances, in comparison with the 4G reference network. Moreover, they are 3 times more energy efficient than the 4G network and the hybrid beamforming architecture appears to be a suitable architecture for beamforming to be considered when designing a 5G cellular network.

Power Consumption in Wireless Access Networks

2018 ◽  
pp. 6253-6265
Author(s):  
Vinod Kumar Mishra ◽  
Pankaja Bisht
Keyword(s):  
Power Consumption ◽  
Communication Systems ◽  
Mimo System ◽  
Future Trend ◽  
Access Networks ◽  
Base Stations ◽  
Wireless Access ◽  
Mobile Wimax ◽  
Wireless Access Networks ◽  
Coverage Area

Power consumption of mobile devices is a great concern in the current mobile communication systems. Recent analysis by manufacturers and network operators has shown that current wireless networks are not very energy efficient. Power consumption is directly related to the coverage area of the base station. So in this chapter, we will analyze and compare the total power consumption, power consumption per covered area and ranges of the macrocell, microcell and femtocell base stations for Mobile WiMAX, fixed WiMAX, UMTS, HSPA, LTE for 1x1 SISO systems and mobile WiMAX, HSPA and LTE will be consider for 2x2 MIMO system. The numerical example will be illustrated with help of simulation results. This chapter enables the reader for knowledge of power consumption in existing wireless access networks technology with detailed of current and future trend of research.

scholarly journals Accurate Mobility Modeling and Location Prediction Based on Pattern Analysis of Handover Series in Mobile Networks

2009 ◽  
Vol 5 (3) ◽  
pp. 255-289 ◽  
Author(s):  
Péter Fülöp ◽  
Sándor Imre ◽  
Sándor Szabó ◽  
Tamás Szálka
Keyword(s):  
Mathematical Models ◽  
Mobile Networks ◽  
Ad Hoc ◽  
Real Life ◽  
Mobility Model ◽  
Wireless Access Networks ◽  
Ad Hoc Routing ◽  
Mobility Modeling ◽  
Additional Information ◽  
Multimedia Transmissions

The efficient dimensioning of cellular wireless access networks depends highly on the accuracy of the underlying mathematical models of user distribution and traffic estimations. Mobility prediction also considered as an effective method contributing to the accuracy of IP multicast based multimedia transmissions, and ad hoc routing algorithms. In this paper we focus on the tradeoff between the accuracy and the complexity of the mathematical models used to describe user movements in the network. We propose mobility model extension, in order to utilize user's movement history thus providing more accurate results than other widely used models in the literature. The new models are applicable in real-life scenarios, because these rely on additional information effectively available in cellular networks (e.g. handover history), too. The complexity of the proposed models is analyzed, and the accuracy is justified by means of simulation.

Risk-Based Robust Bidding Strategies for EVs’ Aggregators in Day-ahead Markets with Uncertainty

2020 ◽  
Author(s):  
Ahmed Abdelmoaty ◽  
Wessam Mesbah ◽  
Mohammad A. M. Abdel-Aal ◽  
Ali T. Alawami
Keyword(s):  
Robust Optimization ◽  
Electricity Market ◽  
Real Life ◽  
Optimization Approach ◽  
Case Scenario ◽  
Worst Case ◽  
Bidding Strategies ◽  
Wind Generators ◽  
Proposed Model ◽  
Optimal Bidding

In the recent electricity market framework, the profit of the generation companies depends on the decision of the operator on the schedule of its units, the energy price, and the optimal bidding strategies. Due to the expanded integration of uncertain renewable generators which is highly intermittent such as wind plants, the coordination with other facilities to mitigate the risks of imbalances is mandatory. Accordingly, coordination of wind generators with the evolutionary Electric Vehicles (EVs) is expected to boost the performance of the grid. In this paper, we propose a robust optimization approach for the coordination between the wind-thermal generators and the EVs in a virtual<br>power plant (VPP) environment. The objective of maximizing the profit of the VPP Operator (VPPO) is studied. The optimal bidding strategy of the VPPO in the day-ahead market under uncertainties of wind power, energy<br>prices, imbalance prices, and demand is obtained for the worst case scenario. A case study is conducted to assess the e?effectiveness of the proposed model in terms of the VPPO's profit. A comparison between the proposed model and the scenario-based optimization was introduced. Our results confirmed that, although the conservative behavior of the worst-case robust optimization model, it helps the decision maker from the fluctuations of the uncertain parameters involved in the production and bidding processes. In addition, robust optimization is a more tractable problem and does not suffer from<br>the high computation burden associated with scenario-based stochastic programming. This makes it more practical for real-life scenarios.<br>

scholarly journals Multi-Layer Blockchain-Based Security Architecture for Internet of Things

Sensors ◽  
2021 ◽  
Vol 21 (3) ◽  
pp. 772 ◽  
Author(s):  
Houshyar Honar Pajooh ◽  
Mohammad Rashid ◽  
Fakhrul Alam ◽  
Serge Demidenko
Keyword(s):  
Internet Of Things ◽  
Clustering Algorithm ◽  
Model Development ◽  
Base Stations ◽  
Smart Devices ◽  
Security Model ◽  
Cluster Heads ◽  
Authentication Mechanism ◽  
Proposed Model ◽  
Authentication And Authorization

The proliferation of smart devices in the Internet of Things (IoT) networks creates significant security challenges for the communications between such devices. Blockchain is a decentralized and distributed technology that can potentially tackle the security problems within the 5G-enabled IoT networks. This paper proposes a Multi layer Blockchain Security model to protect IoT networks while simplifying the implementation. The concept of clustering is utilized in order to facilitate the multi-layer architecture. The K-unknown clusters are defined within the IoT network by applying techniques that utillize a hybrid Evolutionary Computation Algorithm while using Simulated Annealing and Genetic Algorithms. The chosen cluster heads are responsible for local authentication and authorization. Local private blockchain implementation facilitates communications between the cluster heads and relevant base stations. Such a blockchain enhances credibility assurance and security while also providing a network authentication mechanism. The open-source Hyperledger Fabric Blockchain platform is deployed for the proposed model development. Base stations adopt a global blockchain approach to communicate with each other securely. The simulation results demonstrate that the proposed clustering algorithm performs well when compared to the earlier reported approaches. The proposed lightweight blockchain model is also shown to be better suited to balance network latency and throughput as compared to a traditional global blockchain.

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