Name
Abstract | ||
|---|---|---|
Effective frequency spectrum utilization techniques are required to cope with wireless broadband traffic growth. We are studying a method to minimize mutual radio wave interference by coordinating wireless home network access points (APs). For controlling the radio wave reaching range to reduce interference to neighboring terminals or APs, precisely estimation techniques of range is important. A commonly used method to estimate radio wave reaching ranges is site surveys where the user or operator measures propagation characteristics. However, the problem of this method is that a large burden is placed on the user because it is necessary to densely collect the radio data over the entire area to precisely estimate radio wave reaching ranges, especially in complicated indoor radio propagation environments where there is considerable propagation variability. In addition, it is difficult to collect all the radio data in the users' area with the private wireless systems whose APs are freely put by users such as wireless LANs (WLANs), so it is necessary to estimate the users' indoor propagation environment by using radio data from users' daily lives through the network. We therefore propose a method that uses sparse data to estimate material parameters for precisely modeling indoor radio propagation. Experimental evaluations demonstrated it decreased the number of data items needing to be collected. |
Year | Venue | Keywords |
|---|---|---|
2014 | 2014 IEEE 25TH ANNUAL INTERNATIONAL SYMPOSIUM ON PERSONAL, INDOOR, AND MOBILE RADIO COMMUNICATION (PIMRC) | component, Interference Estimation, Propagation Losses |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
1 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Minoru Inomata | 1 | 0 | 0.34 |
| Tomoaki Ogawa | 2 | 1 | 0.76 |
| Shuichi Yoshino | 3 | 9 | 3.99 |