한국인터넷정보학회 논문지
Current Result Document :
| 한글제목(Korean Title) |
Interference Aware Fractional Frequency Reuse using Dynamic User Classification in Ultra-Dense HetNets |
| 영문제목(English Title) |
Interference Aware Fractional Frequency Reuse using Dynamic User Classification in Ultra-Dense HetNets |
| 저자(Author) |
조대근
Dae-Keun Cho
Ilhak Ban
Se-Jin Kim
|
| 원문수록처(Citation) |
VOL 22 NO. 05 PP. 0001 ~ 0008 (2021. 08) |
한글내용
(Korean Abstract) |
|
영문내용
(English Abstract) |
Small-cells in heterogeneous networks are one of the important technologies to increase the coverage and capacity in 5G cellular networks. However, due to the randomly arranged small-cells, co-tier and cross-tier interference increase, deteriorating the system performance of the network. In order to manage the interference, some channel management methods use fractional frequency reuse(FFR) that divides the cell coverage into the inner region(IR) and outer region(OR) based on the distance from the macro base station(MBS). However, since it is impossible to properly measure the distance in the method with FFR, we propose a new interference aware FFR(IA-FFR) method to enhance the system performance. That is, the proposed IA-FFR method divides the MUEs and SBSs into the IR and OR groups based on the signal to interference plus noise ratio(SINR) of macro user equipments(MUEs) and received signals strength of small-cell base stations(SBSs) from the MBS, respectively, and then dynamically assigns subchannels to MUEs and small-cell user equipments. As a result, the proposed IA-FFR method outperforms other methods in terms of the system capacity and outage probability. |
| 키워드(Keyword) |
인터넷
피어링
망 중립성
망 이용대가
차터 합병
Internet
Peering
Net neutrality
Access fee
Charter Merger
5G
OFDMA
heterogeneous network
fractional frequency reuse
interference management
dynamic user classification
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| 파일첨부 |
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