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Soroush Ameli

dblp:246/9046 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2019
—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
Internet of things and sensor networks · 53% Cellular and mobile networks · 47%

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

TopicWeightPapersLastEvidence papers
Internet of things and sensor networks › low-power wireless
low-power iot communication
0.412019
A millimeter wave network for billions of things · SIGCOMM 2019
Cellular and mobile networks
5g
0.112019
A millimeter wave network for billions of things · SIGCOMM 2019
Cellular and mobile networks › millimeter-wave communication
beam alignment
0.112019
A millimeter wave network for billions of things · SIGCOMM 2019
Cellular and mobile networks
millimeter-wave communication
0.112019
A millimeter wave network for billions of things · SIGCOMM 2019

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

empirical evaluation · 0.4
YearPublicationVenuePosition
2019 A millimeter wave network for billions of things
abstract
With the advent of the Internet of Things (IoT), billions of new connected devices will come online, placing a huge strain on today's WiFi and cellular spectrum. This problem will be further exacerbated by the fact that many of these IoT devices are low-power devices that use low-rate modulation schemes and therefore do not use the spectrum efficiently. Millimeter wave (mmWave) technology promises to revolutionize wireless networks and solve spectrum shortage problem through the usage of massive chunks of high-frequency spectrum. However, adapting this technology presents challenges. Past work has addressed challenges in using mmWave for emerging applications, such as 5G, virtual reality and data centers, which require multiple-gigabits-per-second links, while having substantial energy and computing power. In contrast, this paper focuses on designing a mmWave network for low-power, low-cost IoT devices. We address the key challenges that prevent existing mmWave technology from being used for such IoT devices. First, current mmWave radios are power hungry and expensive. Second, mmWave radios use directional antennas to search for the best beam alignment. Existing beam searching techniques are complex and require feedback from access points (AP), which makes them unsuitable for low-power, low-cost IoT devices. We present mmX, a novel mmWave network that addresses existing challenges in exploiting mmWave for IoT devices. We implemented mmX and evaluated it empirically.
Mohammad Hossein Mazaheri 0001, Soroush Ameli, Ali Abedi 0002, Omid Abari
SIGCOMM2