Open AccessClustering‐based interference management in dense small cell networks with backhaul constraints
Author(s) -
Liu Jinbo,
Sun Shaohui,
Liu Jiamin,
He Yuan
Publication year - 2015
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
eISSN - 1350-911X
pISSN - 0013-5194
DOI - 10.1049/el.2015.1714
Subject(s) - backhaul (telecommunications) , cluster analysis , computer science , small cell , computer network , interference (communication) , cluster size , cellular network , distributed computing , base station , artificial intelligence , chemistry , channel (broadcasting) , electronic structure , computational chemistry
Small cell has been considered as a promising solution since it can improve coverage and system throughput. When a large number of small cells are overlapped, the limited backhaul capacity of the small cell and serious inter‐cell interference become one of the major technical challenges. A clustering‐based interference mitigation for dense small cell networks with backhaul constraints is investigated. The optimal problem which maximises the system capacity has been formulated. No‐inter cluster and graph‐based cluster are proposed, so as to reduce the inter‐cell interference. Taking into account the chemical reaction optimisation and backhaul constraints, more interference could be mitigated and guarantee the limited backhaul. The simulation results demonstrate that the proposed policy could enhance the system throughput.