scholarly journals QoS controlled capacity offload optimization in heterogeneous networks

2020 ◽  
Vol 9 (6) ◽  
pp. 2667-2680
Author(s):  
Siva Priya Thiagarajah ◽  
Mohamad Yusoff Alias ◽  
Wooi-Nee Tan
Keyword(s):  
Load Balancing ◽  
High Efficiency ◽  
Low Complexity ◽  
Network Capacity ◽  
Small Cells ◽  
User Association ◽  
Allocation Mechanism ◽  
Grid Topology ◽  
Efficient Resource ◽  
User Data

An efficient resource allocation mechanism in the physical layer of wireless networks ensures that resources such as bandwidth and power are used with high efficiency in spite of low delay and high edge user data rate. Microcells in the network are typically set with bias settings to artificially increase the Signal-to-Interference-Plus-Noise Ratio, thus encouraging users to offload to the microcell. However, the artificial bias settings are tedious and often suboptimal. This work presents a low complexity algorithm for maximization of network capacity with load balancing in a heterogeneous network without the need for bias setting. The small cells were deployed in a grid topology at a selected distance from macrocell to enhance network capacity through coverage overlap.  User association and minimum user throughput were incorporated as constraints to enable closer simulation to real word Quality of Service requirements. The results showed that the proposed algorithm was able to maintain less than 10% user drop rate. The proposed algorithm can increase user confidence as well as maintain load balancing, maintain the scalability, and reduce power consumption of the wireless network.

scholarly journals Association Control Based  Load Balancing in Wireless  Cellular Networks Using  Preamble Sequences

2021 ◽  
Author(s):  
◽  
Ankit Chopra
Keyword(s):  
Load Balancing ◽  
Cellular Networks ◽  
Network Capacity ◽  
Correlation Property ◽  
User Association ◽  
Heavy Load ◽  
Implicit Information ◽  
Light Load ◽  
Load Imbalance ◽  
Radio Resources

<p>The efficient allocation and use of radio resources is crucial for achieving the maximum possible throughput and capacity in wireless networks. The conventional strongest signal-based user association in cellular networks generally considers only the strength of the signal while selecting a BS, and ignores the level of congestion or load at it. As a consequence, some BSs tend to suffer from heavy load, while their adjacent BSs may carry only light load. This load imbalance severely hampers the network from fully utilizing the network capacity and providing fair services to users. In this thesis, we investigate the applicability of the preamble code sequence, which is mainly used for cell identification, as an implicit information indicator for load balancing in cellular networks. By exploiting the high auto-correlation and low cross-correlation property among preamble sequences, we propose distributed load balancing schemes that implicitly obtain information about the load status of BSs, for intelligent association control. This enables the new users to be attached to BSs with relatively low load in the long term, alleviating the problem of non-uniform user distribution and load imbalance across the network. Extensive simulations are performed with various user densities considering throughput fair and resource fair, as the resource allocation policies in each cell. It is observed that significant improvement in minimum throughput and fair user distribution is achieved by employing our proposed schemes, and preamble sequences can be effectively used as a leverage for better cell-site selection from the viewpoint of fairness provisioning. The load of the entire system is also observed to be balanced, which consequently enhances the capacity of the network, as evidenced by the simulation results.</p>

scholarly journals Association Control Based  Load Balancing in Wireless  Cellular Networks Using  Preamble Sequences

2021 ◽  
Author(s):  
◽  
Ankit Chopra
Keyword(s):  
Load Balancing ◽  
Cellular Networks ◽  
Network Capacity ◽  
Correlation Property ◽  
User Association ◽  
Heavy Load ◽  
Implicit Information ◽  
Light Load ◽  
Load Imbalance ◽  
Radio Resources

<p>The efficient allocation and use of radio resources is crucial for achieving the maximum possible throughput and capacity in wireless networks. The conventional strongest signal-based user association in cellular networks generally considers only the strength of the signal while selecting a BS, and ignores the level of congestion or load at it. As a consequence, some BSs tend to suffer from heavy load, while their adjacent BSs may carry only light load. This load imbalance severely hampers the network from fully utilizing the network capacity and providing fair services to users. In this thesis, we investigate the applicability of the preamble code sequence, which is mainly used for cell identification, as an implicit information indicator for load balancing in cellular networks. By exploiting the high auto-correlation and low cross-correlation property among preamble sequences, we propose distributed load balancing schemes that implicitly obtain information about the load status of BSs, for intelligent association control. This enables the new users to be attached to BSs with relatively low load in the long term, alleviating the problem of non-uniform user distribution and load imbalance across the network. Extensive simulations are performed with various user densities considering throughput fair and resource fair, as the resource allocation policies in each cell. It is observed that significant improvement in minimum throughput and fair user distribution is achieved by employing our proposed schemes, and preamble sequences can be effectively used as a leverage for better cell-site selection from the viewpoint of fairness provisioning. The load of the entire system is also observed to be balanced, which consequently enhances the capacity of the network, as evidenced by the simulation results.</p>

Energy-efficient user association with load-balancing for cooperative IIoT network within B5G era

2021 ◽  
pp. 103110
Author(s):  
Xin Jian ◽  
Langyun Wu ◽  
Keping Yu ◽  
Moayad Aloqaily ◽  
Jalel Ben-Othman
Keyword(s):  
Load Balancing ◽  
Energy Efficient ◽  
User Association

scholarly journals An Efficient Resource Allocation Mechanism for LTE–GEPON Converged Networks

2013 ◽  
Vol 22 (3) ◽  
pp. 437-461 ◽  
Author(s):  
Chathurika Ranaweera ◽  
Elaine Wong ◽  
Christina Lim ◽  
Ampalavanapillai Nirmalathas ◽  
Chamil Jayasundara
Keyword(s):  
Resource Allocation ◽  
Allocation Mechanism ◽  
Efficient Resource ◽  
Resource Allocation Mechanism

scholarly journals Capacity Analysis and Optimization in Heterogeneous Network with Adaptive Cell Range Control

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Xinyu Gu ◽  
Xin Deng ◽  
Qi Li ◽  
Lin Zhang ◽  
Wenyu Li
Keyword(s):  
Heterogeneous Network ◽  
Selection Procedure ◽  
Mobile Network ◽  
Network Capacity ◽  
Network Evolution ◽  
Range Extension ◽  
Traffic Load ◽  
System Level ◽  
Small Cells ◽  
Cell Range

As an attractive means of expanding mobile network capacity, heterogeneous network is regarded as an important direction of mobile network evolution. To increase the capacity of, for example, hot spots, a typical scenario in heterogeneous network is that the coverage areas of low power nodes (LPNs) are overlapped with macrocell. To increase the utilization of small cells generated by LPNs, cell range extension (CRE) is used to extend the coverage of the small cells by adding cell specific offset (CSO) to small cells during cell selection procedure. The value of CSO, however, needs to be set carefully. In this paper, the capacity of users in macrocells, users in small cells, and users in range extension areas is analyzed thoroughly in conditions with and without CRE. Based on the analysis, an adaptive CSO updating algorithm is proposed. The proposed algorithm updates the CSO value periodically by predicting the overall capacity and a new CSO value is selected which can give the optimal overall capacity. The proposed algorithm is evaluated by system-level simulations. Simulation results indicate that the proposed algorithm can ensure a nearly optimal performance in all tested traffic load situations.

scholarly journals Factor Graph Weight Particles aided Distributed Underwater Cooperative Positioning Algorithm

2021 ◽  
Author(s):  
lingling zhang ◽  
baoguo yu ◽  
Chengkai Tang ◽  
yi zhang ◽  
Houbing Song
Keyword(s):  
Power Efficiency ◽  
High Efficiency ◽  
Low Complexity ◽  
Factor Graph ◽  
Network Nodes ◽  
Cooperative Positioning ◽  
Underwater Localization ◽  
Positioning Algorithm ◽  
Marine Exploration ◽  
Real Test

Abstract The growing scale of marine exploration requires high-resolution underwater localization, which necessitates cooperation among underwater network nodes, considering the channel complexity and power efficiency. In this paper, we proposed factor graph weight particles aided distributed underwater nodes cooperative positioning algorithm (WP-DUCP). It capitalized on the factor graph and sum-product algorithm to decompose the global optimization to the product of several local optimization functions. Combined with the Gaussian parameters to construct the weighted particles and to realize the belief transfer, it shows low complexity and high efficiency, suitable to the energy-restricted and communication distance-limited underwater networks. In terms of convergence, localization resolution, and computation complexity, we conducted the simulation and real-test with comparison to the existing co-localization methods. The results verified a higher resolution of the proposed method with no extra computation burden.

Research of Android Platform Application Based on HTML5

2014 ◽  
Vol 651-653 ◽  
pp. 1901-1904
Author(s):  
Xian Wei Li
Keyword(s):  
Data Storage ◽  
Computer Technology ◽  
High Efficiency ◽  
Rapid Development ◽  
Management Information ◽  
Development Environment ◽  
Android Platform ◽  
User Data ◽  
Realization Process ◽  
Application Module

In the society with the rapid development and popularization of computer technology, the management information system has become the hot field of software development. It runs stably in the browsers, like IE6, IE7, IE8, IE9 and FireFox, with high efficiency, sound security, friendly interface and simple operation. It has done research on the design and realization process of HTML5 off-line data storage on the Android platform. Under the Eclipse integrated development environment, with Android SDK and HTML5 grammar, develop the system, which realize the functions of off-line storage, addition, deletion and modification of user data. It enables the application of HTML5 of Android platform and has made detailed analysis on the Android platform and HTML5 application module. The result indicates, the webpage application design of HTML5 conducted on the Android platform, is simple and fast, which can better meet the demand of Android cellphone users.

scholarly journals A low complexity high efficiency hybrid multiplicative-additive crest factor reduction for OFDM systems

2016 ◽  
Vol 65 (2) ◽  
pp. 297-307 ◽  
Author(s):  
Khalid Al-Hussaini ◽  
Borhanuddin M. Ali ◽  
Pooria Varahram ◽  
Shaiful Jahari Hashim ◽  
Ronan Farrell
Keyword(s):  
High Efficiency ◽  
Low Complexity ◽  
Ofdm Systems ◽  
Crest Factor ◽  
Crest Factor Reduction
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