TY - GEN
T1 - Survey of soft computing techniques for joint radio resource management
AU - Metre, Prakash B.
AU - Radhika, K. R.
AU - Gowrishankar,
PY - 2012
Y1 - 2012
N2 - Ever changing requirements of the mobile devices has posed significant challenges on existing cellular network systems. The Next Generation Wireless Networks (NGWN) will be heterogeneous which will have different Radio Access Technologies (RATs) operating together. Radio Resource Management (RRM) is one of the key challenges in NGWN. Joint Radio Resource Management (JRRM) is one of the RRM technique plays instrumental role in ensuring the desired Quality of Service (QoS) to the users working on different applications which are having the diversified nature of QoS requirements to be fulfilled by the wireless networks. Soft computing is one promising field which is strongly believed to enhance the capability of the existing methods for JRRM. The objective of this paper is to bring out the best features of soft computing techniques for JRRM in NGWN to enhance capability of existing methods, which integrates the different RRM strategies using soft computing techniques for NGWN and observe how JRRM would properly work together with soft computing techniques in heterogeneous scenario to perform better than the existing techniques.
AB - Ever changing requirements of the mobile devices has posed significant challenges on existing cellular network systems. The Next Generation Wireless Networks (NGWN) will be heterogeneous which will have different Radio Access Technologies (RATs) operating together. Radio Resource Management (RRM) is one of the key challenges in NGWN. Joint Radio Resource Management (JRRM) is one of the RRM technique plays instrumental role in ensuring the desired Quality of Service (QoS) to the users working on different applications which are having the diversified nature of QoS requirements to be fulfilled by the wireless networks. Soft computing is one promising field which is strongly believed to enhance the capability of the existing methods for JRRM. The objective of this paper is to bring out the best features of soft computing techniques for JRRM in NGWN to enhance capability of existing methods, which integrates the different RRM strategies using soft computing techniques for NGWN and observe how JRRM would properly work together with soft computing techniques in heterogeneous scenario to perform better than the existing techniques.
UR - https://www.scopus.com/pages/publications/84869746634
UR - https://www.scopus.com/inward/citedby.url?scp=84869746634&partnerID=8YFLogxK
U2 - 10.1109/ICMCS.2012.6320147
DO - 10.1109/ICMCS.2012.6320147
M3 - Conference contribution
AN - SCOPUS:84869746634
SN - 9781467315203
T3 - Proceedings of 2012 International Conference on Multimedia Computing and Systems, ICMCS 2012
SP - 562
EP - 565
BT - Proceedings of 2012 International Conference on Multimedia Computing and Systems, ICMCS 2012
T2 - 2012 International Conference on Multimedia Computing and Systems, ICMCS 2012
Y2 - 10 May 2012 through 12 May 2012
ER -