0000045696 00000 n 81 0 obj <>stream Channel allocation can be optimized using these soft computing techniques resulting in better throughput. 56 0 obj <> endobj 0000048067 00000 n Genetic Algorithm and Artificial Neural Networks is used to determine the optimal channel assignment considering the quality of service parameters. Part of Springer Nature. The cellular system employs a different design approach than most commercial radio and television systems use [1, 2]. In the cellular system, the service area is divided into cells. �Ft iA���@ ��xp'��b �� �.�:&5���g0�g`d]ʰ��4#�C V�5�8 ��8�K�H&v��Kdd�v20U�b�̰���Q�Ql. IEEE Journal on Selected Areas in Communications 15(2), 238–249 (1997), Elhachmi, J., Guennoun, Z.: Evolutionary neural networks algorithm for the dynamic frequency assignment problem. Springer, Heidelberg (2011), Kaabi, F., Ghannay, S., Filali, F.: Channel allocation and routing in Wireless Mesh Networks:A Survey and qualitative comparison between schemes. IEEE Transactions on Vehicular Technology 54(5), 1887–1895 (2005), Smith, K., Palaniswami, M.: Static and dynamic channel assignment using neural networks. 0000050851 00000 n H�b```�k�"O@ (�������A�c�l�HI�V�K֒�s�*8���f����L����)�$'`�4�DJn��„�'�˘x�3��Qи�U D2 38 0 obj << /Linearized 1 /O 40 /H [ 982 328 ] /L 128719 /E 54836 /N 6 /T 127841 >> endobj xref 38 29 0000000016 00000 n International Journal of Wireless and Mobile Network 2(1), 132–151 (2010), Proceedings of the International Conference on Soft Computing for Problem Solving (SocProS 2011) December 20-22, 2011, Department of Computer Science and Engineering, https://doi.org/10.1007/978-81-322-0487-9_60, Advances in Intelligent and Soft Computing. Unable to display preview. 0 Traditional channel allocation techniques for cellular net-works [9] seek to optimize channel reuse factor while main-taining signal-to-interference plus noise (SINR) ratio for any link, by designing appropriate dynamic channel assignment algorithms [10]–[12]. 0000044996 00000 n In this work, some of the quality of service parameters such as residual bandwidth, number of users, duration of calls, frequency of calls and priority are considered. (eds.) CCIS, vol. endstream endobj 57 0 obj <> endobj 58 0 obj <>/ProcSet[/PDF/Text/ImageB]/XObject<>>>/Rotate 0/Type/Page>> endobj 59 0 obj <>stream 628–637. pp 621-631 | It examines RAS for TDMA and CDMA systems in multi-layered cellular structures, helping the reader to plan and design more effective networks. 71 0 obj <>/Filter/FlateDecode/ID[<928176563B58E94B85D25917C21C9A2B>]/Index[56 26]/Info 55 0 R/Length 79/Prev 582321/Root 57 0 R/Size 82/Type/XRef/W[1 2 1]>>stream %PDF-1.6 %���� ��+i�T�F���]Y��.tѭ����^������^\�,��`���o��V{CR�z�Զhl��,�&+���-��ƶ����[. Rajagopalan N., Mala C. (2012) Optimization of QoS Parameters for Channel Allocation in Cellular Networks Using Soft Computing Techniques. PDCTA 2011. 0000001664 00000 n Prentice Hall of India (2001), Vidyarthi, G., Ngom, A., Stojmenovic, I.: A hybrid channel assignment approach using an efficient evolutionary strategy in wireless mobile networks. IEEE Transactions on Vehicular Technology 43(2), 279–288 (1994), Jang, J.S.R., Sun, C.T., Mizutani, E.: Neuro–fuzzy and soft computing–A computational approach to learning and machine intelligence. Therefore, when multiple 802.22 systems are located in the same region, a collaborative channel allocation and reservation method needs to be used so that no single system will occupy all available channels. It also describes numerous evaluation methods to help implement superior channel allocation in a variety of environments, saving time and development costs during planning and simulation. 0000001310 00000 n This is a preview of subscription content, Battiti, R., Bertossi, A., Cavallaro, D.: A randomized saturation degree heuristic for channel assignment in cellular radio networks. For N competing users, the bandwidth is divided into N channels using frequency division multiplexing (FDM), and each portion is assigned to one user. %PDF-1.2 %���� Not affiliated In static channel allocation scheme, a fixed portion of the frequency channel is allotted to each user. hޤ�MO�0����p��~f�&�ncj0i q�VS"�I�����送4pI�z��I�D >A�DC���1D!%�^b��1�-�!�m�1K���sΦy��,�����q6���@��Z��D��s�w�nyp���0�xHPK���kd�, Comparison of two novel heuristic dynamic channel allocation techniques in cellular systems Comparison of two novel heuristic dynamic channel allocation techniques in cellular systems Sandalidis, Harilaos G.; Stavroulakis, Peter P.; Rodriguez‐Tellez, Joe 1998-11-01 00:00:00 Dynamic channel assignment (DCA) has been discussed in the literature as a way to achieve improved resource … Such channel assignment algorithms are The usage of mobile communications systems has grown exponentially. 0000000982 00000 n In: Nagamalai, D., Renault, E., Dhanushkodi, M. H�\U P�G�^��� ��%� ���D�S��Q�D Q)��E�f0�Q�nЍn����F����h\c,qz�Q��W�������~��k o,�D��q�qcG�_�Tp�i��uJR!�s@����5~�]Y�cW�|gA�_���. 0000001289 00000 n 0000049452 00000 n 399-403. T�n��%�l^�]�� �`w�3012��H�q�� � Dynamic Channel Allocation; Static Channel Allocation. 0000043530 00000 n CDMA cellular systems can allow an increase in traffic capacity at the expense of the quality of service. In FCA the number of channels in the cell remains constant irrespective of the number of customers in that cell. In TDMA/FDMA cellular radio systems, Fixed Channel Allocation (FCA) is used to allocate channels to customers. 0000052308 00000 n 0000002451 00000 n Technol. This service is more advanced with JavaScript available, Proceedings of the International Conference on Soft Computing for Problem Solving (SocProS 2011) December 20-22, 2011 IEEE Trans. International Journal of Computer Science and Information Technology 3(3), 49–61 (2011), Chan, P.T.H., Palaniswami, M., Everitt, D.: Neural network – based dynamic channel assignment for cellular mobile communication systems.