Fundamentals of wireless communication
Fundamentals of wireless communication
Embracing wireless interference: analog network coding
Proceedings of the 2007 conference on Applications, technologies, architectures, and protocols for computer communications
PPR: partial packet recovery for wireless networks
Proceedings of the 2007 conference on Applications, technologies, architectures, and protocols for computer communications
Zigzag decoding: combating hidden terminals in wireless networks
Proceedings of the ACM SIGCOMM 2008 conference on Data communication
Taking the sting out of carrier sense: interference cancellation for wireless LANs
Proceedings of the 14th ACM international conference on Mobile computing and networking
Enhancing Downlink Performance in Wireless Networks by Simultaneous Multiple Packet Transmission
IEEE Transactions on Computers
Interference alignment and cancellation
Proceedings of the ACM SIGCOMM 2009 conference on Data communication
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Multi-Antenna Downlink Channels with Limited Feedback and User Selection
IEEE Journal on Selected Areas in Communications
Design and experimental evaluation of multi-user beamforming in wireless LANs
Proceedings of the sixteenth annual international conference on Mobile computing and networking
Employing the one-sender-multiple-receiver technique in wireless LANs
IEEE/ACM Transactions on Networking (TON)
Hi-index | 0.00 |
In this paper, we study the One-Sender-Multiple-Receiver (OSMR) transmission technique, which allows one sender to send to multiple receivers simultaneously by utilizing multiple antennas at the sender. We implemented a prototype OSMR transmitter/receiver with GNU Software Defined Radio, and conducted experiments in a university building to study the physical layer characteristics of OSMR. Our results are positive and show that wireless channels allow OSMR for a significant percentage of the time. Motivated by our physical layer study, we propose extensions to the 802.11 MAC protocol to support OSMR transmission, which is backward compatible with existing 802.11 devices. We also note that the AP needs a packet scheduling algorithm to efficiently exploit OSMR. We show that the scheduling problem without considering the packet transmission overhead can be formalized as a Linear Programming problem, but the scheduling problem considering the overhead is NP-hard.We then propose a greedy algorithm to schedule OSMR transmissions. We tested the proposed protocol and algorithm with simulations driven by traffic traces collected from wireless LANs and channel state traces collected from our experiments, and the results show that OSMR significantly improves the downlink performance