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Distributed Implicit Interference Alignment in 802.11ac WLAN Network
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- Authors
- Jinhyung Oh, Gwangzeen Ko, Igor Kim, Hyunduk Kang, Myungsun Song, Jaeick Choi
- Issue Date
- 2013-10
- Citation
- International Conference on Information and Communication Technology Convergence (ICTC) 2013, pp.421-426
- Publisher
- IEEE
- Language
- English
- Type
- Conference Paper
- Abstract
- Recently, the demand for wireless service is highly increased because of many smart devices. Many people want to access the internet by using 802.11 WLAN network as of free service. So, a lot of APs are deployed in many places such as home, office and store. Because anyone can install the AP in any place, APs or STAs are suffered the interference between them. This interference makes whole WLAN network performance to be poor quality. The main reason existing the interference is that a huge number of AP and STA is deployed. To solve this situation, 802.11 standard has established a new study group (SG), high efficiency wireless (HEW) local area network. This SG want to enhance the area throughput which is the average throughput in a specific area. We think average throughput is mainly effected by the inter cell interference which is the interference from other APs or STAs. And average throughput is proportional to the sum rate of each node in a specific region. In this paper, we develop three different downlink interference management approach which is so called distributed interference alignment algorithms. To apply these algorithms in the 802.11 WLAN, we think there are some key points which are distributed processing between nodes, only local channel state information usage, linear processing and IA adaptation possibility for the number of general users. Our algorithms displayed in this paper are followed by above assumptions. And we show the performance comparison between our algorithms. © 2013 IEEE.
- KSP Keywords
- 802.11 WLAN, Alignment algorithm, Area Throughput, Average Throughput, Channel State Information(CSI), Interference Alignment(IA), Key points, Local Area Network(LAN), Network performance, Performance comparison, Poor quality