Multidimensional Optimization-Based Heuristics Applied to Wireless Communication Systems

In the last two decades, the mobile communications technologies and the Internet have grown almost exponentially, reaching a significant numbers of subscribers around the world. The mobile cellular service got a very large growth of users along with the increase of mobile data services. On the other hand, the Internet provides a great opportunity for users to access the information via fixed and/or wireless networks.

[1]  Zoran Zvonar,et al.  Multiuser detection for CDMA systems , 1995, IEEE Wirel. Commun..

[2]  John H. Holland,et al.  Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .

[3]  F. Ciriaco,et al.  Multirate Multiuser DS/CDMA with Genetic Algorithm Detection in Multipath Channels , 2006, 2006 IEEE Ninth International Symposium on Spread Spectrum Techniques and Applications.

[4]  P.J.E. Jeszensky,et al.  Evolutionary programming with cloning and adaptive cost function applied to multi-user DS-CDMA systems , 2004, Eighth IEEE International Symposium on Spread Spectrum Techniques and Applications - Programme and Book of Abstracts (IEEE Cat. No.04TH8738).

[5]  Siavash M. Alamouti,et al.  A simple transmit diversity technique for wireless communications , 1998, IEEE J. Sel. Areas Commun..

[6]  Zbigniew Michalewicz,et al.  A Hierarchy of Evolution Programs: An Experimental Study , 1993, Evolutionary Computation.

[7]  D. Ackley.  A connectionist machine for genetic hillclimbing , 1987 .

[8]  Fred W. Glover,et al.  Future paths for integer programming and links to artificial intelligence , 1986, Comput. Oper. Res..

[9]  Zbigniew Michalewicz,et al.  Genetic Algorithms + Data Structures = Evolution Programs , 1996, Springer Berlin Heidelberg.

[10]  I. Habib,et al.  Efficient radio resource control in wireless networks , 2004, IEEE Transactions on Wireless Communications.

[11]  N. Pierce.  Origin of Species , 1914, Nature.

[12]  Sanja Petrovic,et al.  Iterated local search vs. hyper-heuristics: Towards general-purpose search algorithms , 2010, IEEE Congress on Evolutionary Computation.

[13]  David E. Goldberg,et al.  Genetic Algorithms in Search Optimization and Machine Learning , 1988 .

[14]  Helena Ramalhinho Dias Lourenço,et al.  Iterated Local Search , 2001, Handbook of Metaheuristics.

[15]  Taufik Abrão,et al.  DS/CDMA Multiuser Detection with Evolutionary Algorithms , 2006, J. Univers. Comput. Sci..

[16]  Taufik Abrão.  Search Algorithms for Engineering Optimization , 2013 .

[17]  Lajos Hanzo,et al.  Genetic algorithm assisted multiuser detection in asynchronous CDMA communications , 2001, ICC 2001. IEEE International Conference on Communications. Conference Record (Cat. No.01CH37240).

[18]  Sergio Verdú,et al.  Computational complexity of optimum multiuser detection , 1989, Algorithmica.

[19]  Lajos Hanzo,et al.  Harmony Search Aided Iterative Channel Estimation, Multiuser Detection and Channel Decoding for DS-CDMA , 2010, 2010 IEEE 72nd Vehicular Technology Conference - Fall.

[20]  S. Honda,et al.  Channel Parameter Estimation in the CDMA Multiuser Detection Problem , 2007, 2007 Fourth International Conference on Networked Sensing Systems.

[21]  David Tse,et al.  Fundamentals of Wireless Communication , 2005 .

[22]  K. Dejong,et al.  An analysis of the behavior of a class of genetic adaptive systems , 1975 .

[23]  Rajarshi Das,et al.  A Study of Control Parameters Affecting Online Performance of Genetic Algorithms for Function Optimization , 1989, ICGA.

[24]  Roberto Battiti,et al.  The Reactive Tabu Search , 1994, INFORMS J. Comput..

[25]  Roger L. Peterson,et al.  Introduction to Spread Spectrum Communications , 1995 .

[26]  Bernard Fino,et al.  Multiuser detection: , 1999, Ann. des Télécommunications.

[27]  N. Metropolis,et al.  Equation of State Calculations by Fast Computing Machines , 1953, Resonance.

[28]  Rahim Tafazolli,et al.  Genetically modified multiuser detection for code division multiple access systems , 2002, IEEE J. Sel. Areas Commun..

[29]  Sang Joon Kim,et al.  A Mathematical Theory of Communication , 2006 .

[30]  Kenneth Steiglitz,et al.  Combinatorial Optimization: Algorithms and Complexity , 1981 .

[31]  Dorothea Heiss-Czedik,et al.  An Introduction to Genetic Algorithms. , 1997, Artificial Life.

[32]  L. Darrell Whitley,et al.  Building Better Test Functions , 1995, ICGA.

[33]  Amit Mitra,et al.  Statistical Quality Control , 2002, Technometrics.

[34]  Jack M. Holtzman,et al.  Analysis of a simple successive interference cancellation scheme in a DS/CDMA system , 1994, IEEE J. Sel. Areas Commun..

[35]  P.J.E. Jeszensky,et al.  Genetic Algorithm Applied to Multipath Multiuser Channel Estimation in DS/CDMA Systems , 2006, 2006 IEEE Ninth International Symposium on Spread Spectrum Techniques and Applications.

[36]  C. D. Gelatt,et al.  Optimization by Simulated Annealing , 1983, Science.

[37]  Paul Jean Etienne Jeszensky,et al.  CDMA systems sequences optimization by simulated annealing , 1998, 1988 IEEE 5th International Symposium on Spread Spectrum Techniques and Applications - Proceedings. Spread Technology to Africa (Cat. No.98TH8333).

[38]  David J. C. MacKay,et al.  Good Error-Correcting Codes Based on Very Sparse Matrices , 1997, IEEE Trans. Inf. Theory.

[39]  Sam Kwong,et al.  Sequences optimization in DS/CDMA systems using genetic algorithms , 2001, Proceedings of IEEE Region 10 International Conference on Electrical and Electronic Technology. TENCON 2001 (Cat. No.01CH37239).

[40]  Graham Kendall,et al.  Towards the decathlon challenge of search heuristics , 2009, GECCO '09.

[41]  H. Vincent Poor,et al.  Probability of error in MMSE multiuser detection , 1997, IEEE Trans. Inf. Theory.

[42]  A. Gray,et al.  I. THE ORIGIN OF SPECIES BY MEANS OF NATURAL SELECTION , 1963 .

[43]  Andries Petrus Engelbrecht,et al.  Alternative hyper-heuristic strategies for multi-method global optimization , 2010, IEEE Congress on Evolutionary Computation.

[44]  Paul Jean Etienne Jeszensky,et al.  Multiple Access Network Optimization Aspects via Swarm Search Algorithms , 2011 .

[45]  Sergio Verdú,et al.  Minimum probability of error for asynchronous Gaussian multiple-access channels , 1986, IEEE Trans. Inf. Theory.

[46]  Alexandra Duel-Hallen,et al.  Decorrelating decision-feedback multiuser detector for synchronous code-division multiple-access channel , 1993, IEEE Trans. Commun..

[47]  Taufik Abrão,et al.  Ant Colony Optimization for Resource Allocation and Anomaly Detection in Communication Networks , 2013 .

[48]  A. R. Crathorne,et al.  Economic Control of Quality of Manufactured Product. , 1933 .

[49]  Synchronous Code-Divison,et al.  Decorrelating Decision-Feedback Multiuser Detector for , 1993 .

[50]  Qian-Li Zhang,et al.  Metrics for meta-heuristic algorithm evaluation , 2003, Proceedings of the 2003 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.03EX693).

[51]  Fernando Ciriaco Dias Neto.  Otimização multidimensional baseada em heurísticas aplicada aos sistemas de comunicação sem fio. , 2012 .

[52]  B.V.R. Reddy,et al.  A Reduced Complexity hybrid switched mode detector using interference cancellation methods for DS-CDMA systems , 2006, 2006 Annual IEEE India Conference.

[53]  J.E. Mazo,et al.  Digital communications , 1985, Proceedings of the IEEE.

[54]  Hamid Jafarkhani,et al.  Space-Time Coding - Theory and Practice , 2010 .

[55]  A. Chekima,et al.  Binary Genetic Algorithm Assisted Multiuser Detector for STBC MC-CDMA , 2007, 2007 IFIP International Conference on Wireless and Optical Communications Networks.

[56]  M. Elmusrati,et al.  On downlink throughput maximization in DS-CDMA systems , 2005, 2005 IEEE 61st Vehicular Technology Conference.

[57]  Martha M. Gardner.  Implementing Six Sigma: Smarter Solutions Using Statistical Methods , 2000, Technometrics.

[58]  Taufik Abrão,et al.  Optical Network Optimization Based on Particle Swarm Intelligence , 2013 .