Demo Data from EDBT 2026 / reviewers in the wild / expert
A. Khojestepour
dblp:11/7891
· DBLP profile ↗
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Physical-layer communications › beamforming
adaptive beamforming |
0.1 | 1 | 2009 | Towards Adaptive Beamforming in Indoor Wireless Networks: An Experimental Approach · INFOCOM 2009 |
Physical-layer communications
beamforming |
0.1 | 1 | 2009 | Towards Adaptive Beamforming in Indoor Wireless Networks: An Experimental Approach · INFOCOM 2009 |
Physical-layer communications
channel estimation |
0.1 | 1 | 2009 | Towards Adaptive Beamforming in Indoor Wireless Networks: An Experimental Approach · INFOCOM 2009 |
Wireless networking
WLAN |
0.1 | 1 | 2009 | 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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2009 | Towards Adaptive Beamforming in Indoor Wireless Networks: An Experimental ApproachabstractSeveral 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 |
INFOCOM | 4 |