Browse > Article

Efficient Resource Allocation Technique for LTE-Advanced based Interference Avoidance of Heterogeneous Network  

Jang, Sung-Won (School of Computer, Information, and Communication Engineering, Sangji University)
Seong, Hyeon-Kyeong (School of Computer, Information, and Communication Engineering, Sangji University)
Publication Information
Journal of the Institute of Convergence Signal Processing / v.17, no.1, 2016 , pp. 46-52 More about this Journal
Abstract
LTE-Advanced system consisting of the number of cells in the cellular environment because it is built to allow efficient use of limited frequency resources of adjacent cell interference avoidance should be considered. Transition services in accordance with the development of the mobile communication technology, wireless multimedia content from voice-centric mobile communications services and causing a lot of mobile data traffic, such as smart phones and tablet terminals spread of a data-driven surge in mobile data traffic base stations in urban areas by increasing became a reality that can not be prevented. In this paper, we propose a new Hybrid resource allocation technique for improving the performance of the cell boundary and analyzed the performance of the proposed new techniques to perform the simulation using LTE-Advanced system level simulator based on 19cell of cellular system model.
Keywords
LTE; OFDMA; Inter-cell Interference; Resource Allocation; Heterogeneous Network;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 R. Rapeepat, M. Bishwarup, and M. Nitin, "LTEadvanced: Next-generation Wireless Broadband Technology," IEEE Wireless Communication, Vol. 17, Issue 3, pp. 10-22, 2010.   DOI
2 V. Dejan, T. John, "Performance Analysis and Energy Efficiency of Random Network Coding in LTE-Advanced," IEEE Transaction on Wireless Communications, Vol. 11, Issue 12, pp. 4275-4285, 2012.   DOI
3 J. H. Jung, D. H. Kim, "Minimum Standard Deviation Based Channel-Aware FDPS Algorithm Supporting Multiple Contents of MBMS in 3GPP LTE System," The Journal of Korean Institute of Information Technology, Vol. 10, No. 1, pp. 233-240, 2012.
4 Y. Zhang, C. Leung "Sub channel Power Loading Schemes in Multiuser OFDM Systems," IEEE Tran. on Vehicular Tech., Vol. 58, No. 9, pp. 5341-5347, 2009.   DOI
5 B. Hui, M. Mohaisen, D. Han, K. H. Chang, Y. S. Baek, and B. Koo, "MIMO Detection Techniques Based on Low Complexity Adaptive QRDecomposition with M-Algorithm for 3GPP LTE Systems," Wireless Personal Communications, Vol. 67, Issue 3, pp. 505-523, 2012.   DOI
6 B. H. Walke, D. C. Schultz, P. Herhold, and S. Mukherjee, "Relay-based Deployment Concepts for Wireless and Mobile Broadband Radio," IEEE Communication Magazine, Vol. 42, No. 9, pp. 80-89, 2004.
7 H. Ghazzai, E. Yaacoub, M. S. Alouini, and A. Dayya, "A Genetic Algorithm Solution for the Operation of Green LTE Networks with Energy and Environment Considerations," In Proc. of Lecture Notes in Computer Science, Vol. 7665, pp. 512-519, 2012.
8 J. Y. Chung, Y. Choi, B. Park, and J. W. Hong, "Measurement analysis of mobile traffic in enterprise networks," In Proc. of the 13th Asia- Pacific Network Operations and Management Symposium (APNOMS), Vol. 1, Issue 1, pp. 1-4, 2011.
9 R.G. Vaughan and J.B. Andersen, "Antenna diversity in mobile communications," IEEE Trans. on Vehicular Tech., Vol. 1, pp. 149-172. 1987.
10 S. Chieochan, and E. Hossain, "Adaptive radio resource allocation in OFDMA systems : a survey of the state-of-the-art approaches," Wireless Comm. and Mobile Computing, Vol. 9, No. 4, pp. 513-527, 2009.   DOI
11 S. Chung, A. Goldsmith "Degrees of freedom in adaptive modulation : A unified view," IEEE Trans. on Comm., Vol. 49, No. 9, pp. 1561- 1571, 2001.   DOI