Title | Genetic Algorithm based HBCCS Technique for Optimal Resource Allocation in OFDMA-LTE System to Mitigate Interference |
Publication Type | Journal Article |
Year of Publication | 2018 |
Authors | Narender, K., and C. Puttamadappa |
Journal | International Journal of Applied Engineering Research |
Volume | 13 |
Issue | 16 |
Pagination | 12429-12435 |
Date Published | 2018 |
Type of Article | Journal Article |
ISBN Number | 0973-4562 |
Keywords | Department of Electronics and Communication Engineering, Scopus |
Abstract | LTE has become the de-facto technology for the 4G networks. It offers unprecedented data transmission and low latency for several types of applications and services. In wireless broadband access networks, most of the indoor environments encounter serious coverage problem. In order to overcome this constraint and to improve the OFDMA-LTE performance, Genetic Algorithm (GA) and Hybrid Bee Colony and Cuckoo Search (HBCCS) techniques based Optimal Resource Allocation (RA) in OFDMA-LTE System introduced. The optimal power values are updated to allocate all the users in the Femto-cell and macro-cell. Also, this improved optimization technique assures to reveal the mitigated network system in terms of signal to interference noise ratio (SINR), spectral efficiency, throughput and outage probability (OP) over the conventional methods. |
URL | www.ripublication.com/ijaer18/ijaerv13n16_01.pdf |