TY - GEN
T1 - User-centric intercell interference coordination in small cell networks
AU - Li, Chang
AU - Zhang, Jun
AU - Letaief, K. B.
PY - 2014/1/1
Y1 - 2014/1/1
N2 - Small cell networks provide an effective way to meet the explosive growth of mobile data traffic, which, however, complicates the network structure and makes intercell interference management more challenging. One existing interference management approach is to divide the whole network into disjoint clusters, with base stations (BSs) within each cluster doing interference coordination, but the performance will then be limited by the cluster edge users. In this paper, a novel intercell interference coordination method is proposed from the user's point of view. Each mobile user will request some neighboring BSs for interference avoidance, which is based on the relative distance between the home BS and the interfering BSs, called as the interference coordination (IC) range. In this way, the most critical interfering sources for each user can be suppressed, and thus there will be no edge user. We derive an accurate approximation for the successful transmission probability of a typical user with the proposed interference coordination method, based on which the optimal IC range can be obtained. Simulation results demonstrate a significant performance gain for the proposed method, and also show that it outperforms the existing BS clustering method.
AB - Small cell networks provide an effective way to meet the explosive growth of mobile data traffic, which, however, complicates the network structure and makes intercell interference management more challenging. One existing interference management approach is to divide the whole network into disjoint clusters, with base stations (BSs) within each cluster doing interference coordination, but the performance will then be limited by the cluster edge users. In this paper, a novel intercell interference coordination method is proposed from the user's point of view. Each mobile user will request some neighboring BSs for interference avoidance, which is based on the relative distance between the home BS and the interfering BSs, called as the interference coordination (IC) range. In this way, the most critical interfering sources for each user can be suppressed, and thus there will be no edge user. We derive an accurate approximation for the successful transmission probability of a typical user with the proposed interference coordination method, based on which the optimal IC range can be obtained. Simulation results demonstrate a significant performance gain for the proposed method, and also show that it outperforms the existing BS clustering method.
KW - downlink cellular networks
KW - Interference coordination
KW - Poisson point process
UR - http://www.scopus.com/inward/record.url?scp=84906996155&partnerID=8YFLogxK
U2 - 10.1109/ICC.2014.6884238
DO - 10.1109/ICC.2014.6884238
M3 - Conference article published in proceeding or book
AN - SCOPUS:84906996155
SN - 9781479920037
T3 - 2014 IEEE International Conference on Communications, ICC 2014
SP - 5747
EP - 5752
BT - 2014 IEEE International Conference on Communications, ICC 2014
PB - IEEE Computer Society
T2 - 2014 1st IEEE International Conference on Communications, ICC 2014
Y2 - 10 June 2014 through 14 June 2014
ER -