Interference mitigation in co-working IEEE 802.11n WLANs
Christos Papathanasiou, Iordanis Koutsopoulos, Leandros Tassiulas
Abstract
Christos Papathanasiou, Iordanis Koutsopoulos, Leandros Tassiulas
Abstract
In a densely deployed Wireless Local Area Network (WLAN) environment, Access Points (APs) could be so close to cause significant channel interference. In the next generation IEEE 802.11n WLANs, inter-cell interference decreases spectral efficiency. By applying common transmission weight vectors in all sub-carriers at a set of users, the paper proposes a new distributed algorithm that permits interfering APs to select appropriately their operating frequency and suppress interference in co-working IEEE 802.11n WLANs. Our method increase system performance and significantly reduces implementation complexity and power consumption. Simulation results in a strong interference environment show substantial gain for our proposed strategies.
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In a densely deployed Wireless Local Area Network (WLAN) environment, Access Points (APs) could be so close to cause significant channel interference. In the next generation IEEE 802.11n WLANs, inter-cell interference decreases spectral efficiency. By applying common transmission weight vectors in all sub-carriers at a set of users, the paper proposes a new distributed algorithm that permits interfering APs to select appropriately their operating frequency and suppress interference in co-working IEEE 802.11n WLANs. Our method increase system performance and significantly reduces implementation complexity and power consumption. Simulation results in a strong interference environment show substantial gain for our proposed strategies.
Key concepts: Interference (communication), Computer network, Computer science, IEEE 802.11b-1999, Service set, IEEE 802.11g-2003, Local area network, Transmission (telecommunications)