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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Chang Li Jun Zhang Letaief, K.B. |
| Copyright Year | 2014 |
| Description | Author affiliation: Dept. of ECE, Hong Kong Univ. of Sci. & Technol., Hong Kong, China (Chang Li; Jun Zhang; Letaief, K.B.) |
| Abstract | 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. |
| Starting Page | 5747 |
| Ending Page | 5752 |
| File Size | 282738 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781479920037 |
| DOI | 10.1109/ICC.2014.6884238 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-06-10 |
| Publisher Place | Australia |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Interference Approximation methods Integrated circuits Signal to noise ratio Wireless communication Analytical models Measurement Poisson point process Interference coordination downlink cellular networks |
| Content Type | Text |
| Resource Type | Article |
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