DocumentCode
170497
Title
iBeam: Intelligent client-side multi-user beamforming in wireless networks
Author
Yongjiu Du ; Aryafar, Ehsan ; Camp, Joseph ; Mung Chiang
Author_Institution
EE Dept., Southern Methodist Univ., Dallas, TX, USA
fYear
2014
fDate
April 27 2014-May 2 2014
Firstpage
817
Lastpage
825
Abstract
Frequently, client-side wireless devices have a view of multiple WiFi access points, whether from open residential and commercial networks, corporate networks, or mesh networks. Given the increasing number of radios and antennas in today´s wireless devices, residual capacity from these multiple APs could be leveraged if client devices communicate with multiple APs simultaneously. In this paper, we exploit multi-user multi-input multi-output (MU-MIMO) technology to improve throughput and reliability in both directions of a wireless connection. For uplink, we use multi-user beamforming to enable the client devices to send multiple data streams to multiple APs simultaneously. For downlink, we leverage interference nulling technology to allow the client devices to decode parallel packets from multiple APs. This iBeam system requires no changes to existing APs or backhaul networks and is compatible with the IEEE 802.11 standards. We experimentally evaluate iBeam and show significant throughput improvements over both single-AP connections and multi-AP connections in a time division mode. The client´s reliability and stability are also significantly improved due to the multi-AP diversity gain.
Keywords
MIMO communication; array signal processing; diversity reception; interference suppression; multi-access systems; telecommunication network reliability; wireless LAN; IEEE 802.11 standard; MIMO technology; diversity gain; iBeam; intelligent client side beamforming; interference nulling technology; multiple WiFi access point; multiple input multiple output technology; multiuser beamforming; parallel packet decoding; wireless networks; Antennas; Array signal processing; IEEE 802.11 Standards; Interference; Throughput; Uplink; Wireless communication; Beamforming; Channel Reciprocity; Interference Nulling; Multi-AP; Multi-user; Rate Adaptation; WiFi Networks;
fLanguage
English
Publisher
ieee
Conference_Titel
INFOCOM, 2014 Proceedings IEEE
Conference_Location
Toronto, ON
Type
conf
DOI
10.1109/INFOCOM.2014.6848009
Filename
6848009
Link To Document