A GPS Based Deterministic Channel Allocation for Cellular Network in Mobile Computing

2009 ◽  
Vol 5 (4) ◽  
pp. 33-51
Author(s):  
Lutfi Mohammed Omer Khanbary ◽  
Deo Prakash Vidyarthi
Keyword(s):  
Cellular Network ◽  
Computational Models ◽  
Channel Allocation ◽  
Radio Channel ◽  
Mobile Hosts ◽  
Knowledge Based ◽  
Mobile Cellular ◽  
Proposed Model ◽  
Two Parameters

The scarcity of the radio channel is the main bottleneck toward maintaining the quality of service (QoS) in a mobile cellular network. As channel allocation schemes become more complex and computationally demanding, alternative computational models that include knowledge-based algorithms and provide the means for faster processing are becoming a topic of research interest. An efficient deterministic technique, capable of handling channel allocation problems, is introduced as an alternative. The proposed model utilizes the Global Positioning System (GPS) data for tracing the hosts’ likely movements within and across the cells and allocates the channels to the mobile devices accordingly. The allocation of the channels to the mobile hosts is deterministic in the sense that the decision of the channel allocation is based on the realistic data received from the GPS about the hosts’ movements. The performance of the proposed technique has been evaluated by conducting the simulation experiments for the two parameters—call blocking and handoff failures. Also, a comparison of the proposed model with an earlier model has been carried out to estimate the effectiveness of the proposed technique. Experimental results reveal that the proposed technique performs better and is more realistic as well.

A GPS Based Deterministic Channel Allocation for Cellular Network in Mobile Computing

2011 ◽  
pp. 277-290
Author(s):  
Lutfi Mohammed Omer Khanbary ◽  
Deo Prakash Vidyarthi
Keyword(s):  
Cellular Network ◽  
Computational Models ◽  
Channel Allocation ◽  
Radio Channel ◽  
Mobile Hosts ◽  
Knowledge Based ◽  
Mobile Cellular ◽  
Proposed Model ◽  
Two Parameters

The scarcity of the radio channel is the main bottleneck toward maintaining the quality of service (QoS) in a mobile cellular network. As channel allocation schemes become more complex and computationally demanding, alternative computational models that include knowledge-based algorithms and provide the means for faster processing are becoming a topic of research interest. An efficient deterministic technique, capable of handling channel allocation problems, is introduced as an alternative. The proposed model utilizes the Global Positioning System (GPS) data for tracing the hosts’ likely movements within and across the cells and allocates the channels to the mobile devices accordingly. The allocation of the channels to the mobile hosts is deterministic in the sense that the decision of the channel allocation is based on the realistic data received from the GPS about the hosts’ movements. The performance of the proposed technique has been evaluated by conducting the simulation experiments for the two parameters—call blocking and handoff failures. Also, a comparison of the proposed model with an earlier model has been carried out to estimate the effectiveness of the proposed technique. Experimental results reveal that the proposed technique performs better and is more realistic as well.

A GPS Based Deterministic Channel Allocation for Cellular Network in Mobile Computing

2010 ◽  
pp. 1614-1630
Author(s):  
Lutfi Mohammed Omer Khanbary ◽  
Deo Prakash Vidyarthi
Keyword(s):  
Cellular Network ◽  
Computational Models ◽  
Channel Allocation ◽  
Radio Channel ◽  
Mobile Hosts ◽  
Knowledge Based ◽  
Mobile Cellular ◽  
Proposed Model ◽  
Two Parameters

The scarcity of the radio channel is the main bottleneck toward maintaining the quality of service (QoS) in a mobile cellular network. As channel allocation schemes become more complex and computationally demanding, alternative computational models that include knowledge-based algorithms and provide the means for faster processing are becoming a topic of research interest. An efficient deterministic technique, capable of handling channel allocation problems, is introduced as an alternative. The proposed model utilizes the Global Positioning System (GPS) data for tracing the hosts’ likely movements within and across the cells and allocates the channels to the mobile devices accordingly. The allocation of the channels to the mobile hosts is deterministic in the sense that the decision of the channel allocation is based on the realistic data received from the GPS about the hosts’ movements. The performance of the proposed technique has been evaluated by conducting the simulation experiments for the two parameters—call blocking and handoff failures. Also, a comparison of the proposed model with an earlier model has been carried out to estimate the effectiveness of the proposed technique. Experimental results reveal that the proposed technique performs better and is more realistic as well.

scholarly journals Evaluation of a highly refined prediction model in knowledge-based volumetric modulated arc therapy planning for cervical cancer

2021 ◽  
Vol 16 (1) ◽  
Author(s):  
Mingli Wang ◽  
Huikuan Gu ◽  
Jiang Hu ◽  
Jian Liang ◽  
Sisi Xu ◽  
...  
Keyword(s):  
Cervical Cancer ◽  
Prediction Model ◽  
Volumetric Modulated Arc Therapy ◽  
Model Evolution ◽  
Prediction Ability ◽  
Knowledge Based ◽  
Proposed Model ◽  
Arc Therapy ◽  
Knowledge Based Planning

Abstract Background and purpose To explore whether a highly refined dose volume histograms (DVH) prediction model can improve the accuracy and reliability of knowledge-based volumetric modulated arc therapy (VMAT) planning for cervical cancer. Methods and materials The proposed model underwent repeated refining through progressive training until the training samples increased from initial 25 prior plans up to 100 cases. The estimated DVHs derived from the prediction models of different runs of training were compared in 35 new cervical cancer patients to analyze the effect of such an interactive plan and model evolution method. The reliability and efficiency of knowledge-based planning (KBP) using this highly refined model in improving the consistency and quality of the VMAT plans were also evaluated. Results The prediction ability was reinforced with the increased number of refinements in terms of normal tissue sparing. With enhanced prediction accuracy, more than 60% of automatic plan-6 (AP-6) plans (22/35) can be directly approved for clinical treatment without any manual revision. The plan quality scores for clinically approved plans (CPs) and manual plans (MPs) were on average 89.02 ± 4.83 and 86.48 ± 3.92 (p < 0.001). Knowledge-based planning significantly reduced the Dmean and V18 Gy for kidney (L/R), the Dmean, V30 Gy, and V40 Gy for bladder, rectum, and femoral head (L/R). Conclusion The proposed model evolution method provides a practical way for the KBP to enhance its prediction ability with minimal human intervene. This highly refined prediction model can better guide KBP in improving the consistency and quality of the VMAT plans.

scholarly journals A Model to Determine the Propagation Losses Based on the Integration of Hata-Okumura and Wavelet Neural Models

2017 ◽  
Vol 2017 ◽  
pp. 1-8 ◽  
Author(s):  
Luis F. Pedraza ◽  
Cesar A. Hernández ◽  
Danilo A. López
Keyword(s):  
Cellular Network ◽  
Large Scale ◽  
Wireless Systems ◽  
Neural Model ◽  
Propagation Model ◽  
Neural Models ◽  
Mobile Cellular ◽  
Proposed Model ◽  
Propagation Losses ◽  
High Degree

Radioelectric spectrum occupancy forecast has proven useful for the design of wireless systems able to harness spectrum opportunities like cognitive radio. This paper proposes the development of a model that identifies propagation losses and spectrum opportunities in a channel of a mobile cellular network for an urban environment using received signal power forecast. The proposed model integrates the Hata-Okumura (H-O) large-scale propagation model with a wavelet neural model. The model results, obtained through simulations, show that the wavelet neural model forecasts with a high degree of precision, which is consistent with the observed behavior in experiments carried out in wireless systems of this type.

Virtual Heterarchy

2010 ◽  
pp. 132-152
Author(s):  
Malgorzata Pankowska ◽  
Henryk Sroka
Keyword(s):  
Information Processing ◽  
Rapid Development ◽  
Information Communication ◽  
Knowledge Based ◽  
Governance Model ◽  
Proposed Model ◽  
Unlimited Supply ◽  
Development Goals ◽  
Governance Models

The rapid development of information communication technology (ICT) encourages companies to compete. However, those competitive development goals should enable people to satisfy their own needs and enjoy a better quality of work and life without compromising the quality of life of other people and future generations. Corporate governance models are needed to concentrate on changes of existing rules, customs, practices and rights as the subject matter of governance to be influenced. Governance models must recognize the limitations of the overburdened state and the consequent need to take advantage of existing institutions and structures that promote sustainability. An increasing number of companies are moving into new forms of competition which can be described as information-based competition, knowledge-based competition, technology–based competition and ICT relationship-based competition. However, unlimited supply of information from Internet and other sources, easiness to register and transfer the information, reduced prices of ICT devices result in increase of information processing and its overload. Therefore, information governance model proposed in the chapter seems to be a pattern to deal with information in contemporary common organizations i.e. virtual heterarchical organizations where access to information is democratically permitted. The proposed model is to be an answer to ensure sustainable governance of information i.e. balance, stability and progress of information processing.

Virtual Heterarchy

2010 ◽  
pp. 2414-2433
Author(s):  
Malgorzata Pankowska ◽  
Henryk Sroka
Keyword(s):  
Information Processing ◽  
Rapid Development ◽  
Information Communication ◽  
Knowledge Based ◽  
Governance Model ◽  
Proposed Model ◽  
Unlimited Supply ◽  
Development Goals ◽  
Governance Models

The rapid development of information communication technology (ICT) encourages companies to compete. However, those competitive development goals should enable people to satisfy their own needs and enjoy a better quality of work and life without compromising the quality of life of other people and future generations. Corporate governance models are needed to concentrate on changes of existing rules, customs, practices and rights as the subject matter of governance to be influenced. Governance models must recognize the limitations of the overburdened state and the consequent need to take advantage of existing institutions and structures that promote sustainability. An increasing number of companies are moving into new forms of competition which can be described as information-based competition, knowledge-based competition, technology–based competition and ICT relationship-based competition. However, unlimited supply of information from Internet and other sources, easiness to register and transfer the information, reduced prices of ICT devices result in increase of information processing and its overload. Therefore, information governance model proposed in the chapter seems to be a pattern to deal with information in contemporary common organizations i.e. virtual heterarchical organizations where access to information is democratically permitted. The proposed model is to be an answer to ensure sustainable governance of information i.e. balance, stability and progress of information processing.

scholarly journals Delay Analysis of Wireless Cellular Networks for Better Qos

2019 ◽  
Vol 9 (2) ◽  
pp. 5517-5524
Keyword(s):  
Cellular Networks ◽  
Service Providers ◽  
Radio Channel ◽  
Base Station ◽  
Traffic Load ◽  
Cell Network ◽  
Mobile Cellular ◽  
Mobile Cellular Networks ◽  
The Difference

The message for call requests is created by mobile devices during a call which is then sent to a base station (BS). A BS processes the response of a call request and chooses to accept or deny the call. Signals such as location notifications, paging and switching due to user mobility take a significant share of the total traffic load within mobile cellular networks. Therefore, between signaling packets, the maximum allowable delays may differ. This time will be delayed because if the time is longer than the allowable pause. The quality of service is therefore reduced, which for service providers is not acceptable. In this paper, we propose an empirical model to determine an overall delay in the processing of wireless cell network signaling packets, which involves the delay in the radio channel and the wired component delay in processing. We are demonstrating the effectiveness of priority processing in reducing handoff delays. We also assess the delay between cells according to their positions in the area and their influence on processing delays by the number of nodes. In addition, we evaluate the difference in delay between cells depending on their position within the network area and how many stations influence time delayed processing.

Sign in / Sign up

Export Citation Format

Share Document