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A. Khojestepour

dblp:11/7891 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2009
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer networks
1 paper
Physical-layer communications · 75% Wireless networking · 25%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Physical-layer communications › beamforming
adaptive beamforming
0.112009
Towards Adaptive Beamforming in Indoor Wireless Networks: An Experimental Approach · INFOCOM 2009
Physical-layer communications
beamforming
0.112009
Towards Adaptive Beamforming in Indoor Wireless Networks: An Experimental Approach · INFOCOM 2009
Physical-layer communications
channel estimation
0.112009
Towards Adaptive Beamforming in Indoor Wireless Networks: An Experimental Approach · INFOCOM 2009
Wireless networking
WLAN
0.112009
Towards Adaptive Beamforming in Indoor Wireless Networks: An Experimental Approach · INFOCOM 2009

Methods — techniques the papers use, named apart from their topics

software radio testbed · 0.1
YearPublicationVenuePosition
2009 Towards Adaptive Beamforming in Indoor Wireless Networks: An Experimental Approach
abstract
Several research works have argued that adaptive beamforming has the potential to realize the high spectral efficiency requirements of next-generation wireless standards, and is especially well-suited for multipath-rich environments such as indoors. Most works have been limited to theory; few works in literature address the practical benefits and realizability of adaptive beamforming. In this paper, we design and implement the first indoor WLAN beamforming system with multi-element array antennas and software radio platforms, that forms a testbed for exploration of practical benefits of beamforming, and evaluation of algorithms for efficient beamforming in diverse environments. In the process of building the system, we identify and address several challenges with practical beamforming that are often ignored in theoretical works. Most importantly, channel estimation for forming the best beam to a user is hindered by oscillator drifts on the transmitter and receiver side that introduce hard-to-isolate phase and frequency offsets from the estimated channel coefficients. We describe these issues and incorporate novel solutions in our system to address them without requiring hardware modifications. We use the system to demonstrate the realizable benefits of adaptive beamforming in a typical indoor office environment.
Sriram Lakshmanan, Karthikeyan Sundaresan, Ravi Kokku, A. Khojestepour, Sampath Rangarajan
INFOCOM4