Algorithmic graph theory
IEEE 802.11: Wireless LANs from a to n
IT Professional
Self-management in chaotic wireless deployments
Proceedings of the 11th annual international conference on Mobile computing and networking
Transmit beamforming for physical-layer multicasting
IEEE Transactions on Signal Processing - Part I
A high-performance MIMO OFDM wireless LAN
IEEE Communications Magazine
Performance analysis of the IEEE 802.11 distributed coordination function
IEEE Journal on Selected Areas in Communications
Array gain and capacity for known random channels with multiple element arrays at both ends
IEEE Journal on Selected Areas in Communications
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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.