Chun-cheng Chen

Learn More
The majority of existing wireless rate controls are based on the implicit assumption that frames are corrupted due to the random, arbitrary environmental and thermal noises. They generally reduce the channel rate on frame losses, trading lower efficiency in frequency band utilization for more robust modulation so that the current noise level may be(More)
Current 802.11 1 WLANs rely on the 802.11 MAC (medium access control) and careful channel assignment to resolve intra-and inter-BSS (basic service set) interferences respectively. However, because wireless transmissions interfere with each other in a range that is larger than the communication range and because there is only a very limited number of(More)
— The limited number of orthogonal channels and autonomous installations of hotspots and home wireless networks often leave neighboring 802.11 basic service sets (BSSs) operating on the same or overlapping channels, therefore interfering with each other. However, the 802.11 MAC does not work well in resolving inter-BSS interference due to the well-known(More)
— The limited number of orthogonal channels and the autonomous installations of hotspots and home wireless networks often leave neighboring 802.11 basic service sets (BSS's) operating on the same or overlapping channels, therefore interfering with each other. However, the 802.11 MAC does not work well in resolving inter-BSS interferences due to the(More)
—In this paper, we propose Opportunistic Carrier Prediction (OCP) that jointly addresses exposed terminal and hidden terminal problems in wireless networks. OCP is based on the rationale that past interference information can be a good indicator for the outcome of future packet delivery. Therefore, each OCP sender maintains a summary of past interference(More)
Wireless networks have raised great attention in the past decades because they provide tether-free connectivity. Although much of the effort in wireless network research has been spent on reducing the interference among the communication nodes, the problem remains open. In this dissertation, we propose a learning-based approach to alleviate wireless(More)
  • 1