Optimized channel allocation in emerging mobile cellular networks

The task of optimizing service quality in wireless networks is a continuous research that requires the design of efficient channel allocation schemes. The problem is how limited channel resources can be maximally utilized, to guarantee seamless communication while maintaining excellent service quality. Whereas, fixed channel allocation (FCA) schemes treat new and handoff calls equally without preference to normally prioritized handoff calls; dynamic channel allocation (DCA) schemes accommodate users mobility in randomly changing network conditions. However, classical Erlang-B models are deficient and do not consider users mobility and dynamically changing traffic of the mobile network environment. A modified Erlang-B dynamic channel allocation (MEB-DCA) scheme is therefore introduced in this paper, for improved network performance. The MEB-DCA algorithm introduces a conditional threshold for handoff request assignment to ensure that communication systems do not unnecessarily prioritize handoff calls at the detriment of new calls. Deriving knowledge from imprecise network data is difficult when developing functional relationships between parameters, requiring advanced modeling techniques with cognitive experience. Soft computing techniques have been shown to handle this challenge given its ability to represent precisely, both data and expert knowledge. An adaptive neuro-fuzzy inference system-based dynamic channel allocation (ANFIS-DCA) framework was proposed to automate the learning of communication parameters for optimized channel allocation decisions. Network parameters considered were received signal strength indication impacted by user mobility, number of guard and general channels, carried traffic, and handoff blocking threshold. The performance of the proposed ANFIS-DCA model was found to outsmart the static FCA and back propagation neural network-based DCA (NN-DCA) schemes using mean square error and root mean square error as performance measures. Our approach can be effectively deployed to improve channel allocation, resource utilization, network capacity, and satisfy users experience.

[1]  Udoinyang G. Inyang,et al.  Discrete event based hybrid framework for petroleum products pipeline activities classification , 2017, Artif. Intell. Res..

[2]  Rana Ejaz Ahmed.  A Hybrid Channel Allocation Algorithm using Hot-Spot Notification for Wireless Cellular Networks , 2006, 2006 Canadian Conference on Electrical and Computer Engineering.

[3]  Mohammad Shojafar,et al.  Mobile Cloud Computing: Challenges and Future Research Directions , 2017, 2017 10th International Conference on Developments in eSystems Engineering (DeSE).

[4]  Villy Bæk Iversen,et al.  Dimensioning of Multiservice Links Taking Account of Soft Blocking , 2006, NEW2AN.

[5]  Doo-Won Lee,et al.  A Cost-Based Adaptive Handover Hysteresis Scheme to Minimize the Handover Failure Rate in 3GPP LTE System , 2010, EURASIP J. Wirel. Commun. Netw..

[6]  Haodong Liu,et al.  Performance Prediction Using High-Order Differential Mathematical Morphology Gradient Spectrum Entropy and Extreme Learning Machine , 2020, IEEE Transactions on Instrumentation and Measurement.

[7]  Samaher AlJanabi,et al.  Multi Objectives Optimization to Gas Flaring Reduction from Oil Production , 2019, Big Data and Networks Technologies.

[8]  Vinay Kumar,et al.  Performance Analysis of AODV, CBRP, DSDV and DSR MANET Routing Protocol using NS2 Simulation , 2013 .

[9]  Samaher Al-Janabi,et al.  Soft Mathematical System to Solve Black Box Problem through Development the FARB Based on Hyperbolic and Polynomial Functions , 2017, 2017 10th International Conference on Developments in eSystems Engineering (DeSE).

[10]  Sweta Deana Bye. Dhondoo,et al.  Integrity Analysis of Multimedia File Transmission between Mobile Phones , 2014 .

[11]  Moses Ekpenyong,et al.  Evolutionary Optimisation of Energy-Efficient Communication in Wireless Sensor Networks , 2019, Int. J. Wirel. Inf. Networks.

[12]  Dharma P. Agrawal,et al.  Modeling and efficient handling of handoffs in integrated wireless mobile networks , 2002, IEEE Trans. Veh. Technol..

[13]  Daniel E. Asuquo,et al.  An Intelligent Call Admission Control Scheme for Quality of Service Provisioning in a Multi-traffic CDMA network , 2013 .

[14]  Wu Deng,et al.  An Improved Ant Colony Optimization Algorithm Based on Hybrid Strategies for Scheduling Problem , 2019, IEEE Access.

[15]  ChingYao Huang,et al.  Soft-blocking based resource dimensioning for CDMA systems , 2004, IEEE 60th Vehicular Technology Conference, 2004. VTC2004-Fall. 2004.

[16]  Samaher AlJanabi,et al.  The Reality and Future of the Secure Mobile Cloud Computing (SMCC): Survey , 2019, Big Data and Networks Technologies.

[17]  R R Kar,et al.  An Efficient Adaptive Channel Allocation Scheme For Cellular Networks , 2014 .

[18]  Lin Zhang,et al.  An Enhanced Mobility State Estimation Based Handover Optimization Algorithm in LTE-A Self-organizing Network , 2015, ANT/SEIT.

[19]  Yuguang Fang,et al.  Enhancing Handoff Performance by Introducing Ad Hoc Mode into Cellular Networks , 2010, 2010 IEEE Global Telecommunications Conference GLOBECOM 2010.

[20]  Samaher Al-Janabi,et al.  A nifty collaborative analysis to predicting a novel tool (DRFLLS) for missing values estimation , 2019, Soft Computing.

[21]  Santosh S. Sambare.  Improved Call Blocking Probability Reducing Technique Using Auxiliary Stations , 2013 .

[22]  Joseph Isabona,et al.  Handoffs Decision Optimization of Mobile Celular Networks , 2015, 2015 International Conference on Computational Science and Computational Intelligence (CSCI).

[23]  Christophe Cordier,et al.  Multi-service radio dimensioning for UMTS packet-switched services , 2002, The 13th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications.

[24]  M. E. Ekpenyong,et al.  HMM-BASED QUALITY OF SERVICE SURVIVABILITY IN MOBILE CELLULAR NETWORKS , 2017 .

[25]  Samaher Hussein Ali.  Novel Approach for Generating the Key of Stream Cipher System Using Random Forest Data Mining Algorithm , 2013, 2013 Sixth International Conference on Developments in eSystems Engineering.

[26]  Mohammad T. Kawser,et al.  Coverage and Capacity Analysis of LTE Radio Network Planning considering Dhaka City , 2012 .

[27]  Lalit Gehlod,et al.  Handover Management using Adaptive and Prioritization Scheme in Cellular Mobile Systems , 2013 .

[28]  Nawel Gharbi.  Using GSPNs for Performance Analysis of a New Admission Control Strategy with Retrials and Guard Channels , 2016 .

[29]  Ahmed Patel,et al.  Empirical rapid and accurate prediction model for data mining tasks in cloud computing environments , 2014, 2014 International Congress on Technology, Communication and Knowledge (ICTCK).

[30]  Vincent Omollo Nyangaresi,et al.  Security evaluation of cellular networks handover techniques , 2018 .

[31]  Wu Deng,et al.  A novel collaborative optimization algorithm in solving complex optimization problems , 2016, Soft Computing.

[32]  S Alagu,et al.  A NOVEL HANDOFF DECISION ALGORITHM IN CALL ADMISSION CONTROL STRATEGY TO UTILIZE THE SCARCE SPECTRUM IN WIRELESS MOBILE NETWORK , 2012 .

[33]  Uthman A. Baroudi,et al.  A Simulation Study: The Impact of Random and Realistic Mobility Models on the Performance of Bypass-AODV in Ad Hoc Wireless Networks , 2010, EURASIP J. Wirel. Commun. Netw..

[34]  Jyh-Cheng Chen,et al.  Design and Analysis of the Gateway Relocation and Admission Control Algorithm in Mobile WiMAX Networks , 2012, IEEE Transactions on Mobile Computing.

[35]  J. Y. Wu,et al.  Automation of 3G/4G cellular network planning , 2004 .

[36]  Edoardo Amaldi,et al.  Radio planning and coverage optimization of 3G cellular networks , 2008, Wirel. Networks.

[37]  Sudhansu Sekhar Singh,et al.  Location Prediction of Mobility Management Using Soft Computing Techniques in Cellular Network , 2013 .

[38]  Ravi Prakash,et al.  Distributed dynamic fault-tolerant channel allocation for cellular networks , 1999 .

[39]  Raouf Boutaba,et al.  Call Admission Control in Mobile Cellular Networks : A Comprehensive Survey , 2004 .

[40]  Moses Ekpenyong,et al.  AN ENHANCED SINR-BASED CALL ADMISSION CONTROL IN 3G NETWORKS , 2011 .

[41]  Liangcai Gan,et al.  Dynamic Channel Assignment for Large-Scale Cellular Networks Using Noisy Chaotic Neural Network , 2011, IEEE Transactions on Neural Networks.

[42]  Krishan Kumar,et al.  Dynamic Channel Allocation in Mobile Multimedia Networks Using Error Back Propagation and Hopfield Neural Network (EBP-HOP)☆ , 2016 .

[43]  Hao Liang,et al.  A Markov Chain-Based Capacity Dimensioning Method for Wireless Communications System with AMC, HARQ and Packet Multimedia Traffic Source , 2008, 2008 IEEE International Conference on Communications.