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A Channel Allocation Algorithm for Reducing the Channel
Sensing/Reserving Asymmetry in 802.11ac Networks
Abstract:
The major goal of IEEE 802.11acis to provide very high throughput (VHT)
performance while at the same time guaranteeing backward compatibility.
Toachieve this goal, 802.11acadopts the channel bonding technique that
makes use of multiple 20 MHz channels in 5 GHz band. Due to the
heterogeneity of bandwidth that each device exploits, and the fixed total
transmission power in the standards, a problem called `Hidden Channel'
arises. In this paper, we first analyze the problem and show how the
contention parameters and transmission time affect collision probability
and fairness in some deployment scenarios. Then, we propose a heuristic
channel allocation algorithm that aims to avoid such problematic situations
effectively. Through simulations, we demonstrate that our proposed
channel allocation algorithm lowers the packet error rate (PER)compared
to uncoordinated and received signal strength indicator(RSSI) based
allocation schemes and increases the network-wide throughput as well as
the throughput of a station that experiences poor performance. This
implies improved fairness performance among transmission pairs with
various channel bandwidths.

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A channel allocation algorithm for reducing the channel sensing reserving asymmetry in 802.11ac networks

  • 1. A Channel Allocation Algorithm for Reducing the Channel Sensing/Reserving Asymmetry in 802.11ac Networks Abstract: The major goal of IEEE 802.11acis to provide very high throughput (VHT) performance while at the same time guaranteeing backward compatibility. Toachieve this goal, 802.11acadopts the channel bonding technique that makes use of multiple 20 MHz channels in 5 GHz band. Due to the heterogeneity of bandwidth that each device exploits, and the fixed total transmission power in the standards, a problem called `Hidden Channel' arises. In this paper, we first analyze the problem and show how the contention parameters and transmission time affect collision probability and fairness in some deployment scenarios. Then, we propose a heuristic channel allocation algorithm that aims to avoid such problematic situations effectively. Through simulations, we demonstrate that our proposed channel allocation algorithm lowers the packet error rate (PER)compared to uncoordinated and received signal strength indicator(RSSI) based allocation schemes and increases the network-wide throughput as well as the throughput of a station that experiences poor performance. This
  • 2. implies improved fairness performance among transmission pairs with various channel bandwidths.