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Ashwin Ganesan

dblp:70/5594 · DBLP profile ↗
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9ranked-venue papers
8as first author
3since 2021 · last 2025
0000-0002-0972-9303ORCID · corroborated

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

Computer networks · 4 · 4 first-author · 1 since 2021Theory of computation · 4 · 4 first-author · 2 since 2021Security and privacy · 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
5 papers
Wireless networking · 68% Internet architecture and protocols · 13% Routing and switching · 7%
Theoretical computer science
3 papers
Combinatorics and discrete mathematics · 76% Coding theory · 12% Distributed computing theory · 11%

Topics — the 21 heaviest of 22, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Wireless networking › interference modeling
hypergraph interference model
1.422025
The Structure of Hypergraphs Arising in Cellular Mobile Communication Systems · IEEE Trans. Mob. Comput. 2025
On Some Distributed Scheduling Algorithms for Wireless Networks With Hypergraph Interference Models · IEEE Trans. Inf. Theory 2021
Wireless networking
interference modeling
1.322025
The Structure of Hypergraphs Arising in Cellular Mobile Communication Systems · IEEE Trans. Mob. Comput. 2025
Performance Guarantees of Distributed Algorithms for QoS in Wireless Ad Hoc Networks · IEEE/ACM Trans. Netw. 2020
Combinatorics and discrete mathematics
hypergraph
0.912025
The Structure of Hypergraphs Arising in Cellular Mobile Communication Systems · IEEE Trans. Mob. Comput. 2025
Wireless networking
medium access control
0.512021
On Some Distributed Scheduling Algorithms for Wireless Networks With Hypergraph Interference Models · IEEE Trans. Inf. Theory 2021
Wireless networking
mobile ad hoc networks
0.512021
On Some Distributed Scheduling Algorithms for Wireless Networks With Hypergraph Interference Models · IEEE Trans. Inf. Theory 2021
Routing and switching
scheduling algorithms
0.512021
On Some Distributed Scheduling Algorithms for Wireless Networks With Hypergraph Interference Models · IEEE Trans. Inf. Theory 2021
Network optimization and economics
admission control
0.412020
Performance Guarantees of Distributed Algorithms for QoS in Wireless Ad Hoc Networks · IEEE/ACM Trans. Netw. 2020
Wireless networking › scheduling
distributed scheduling
0.412020
Performance Guarantees of Distributed Algorithms for QoS in Wireless Ad Hoc Networks · IEEE/ACM Trans. Netw. 2020
Internet architecture and protocols › quality of service
performance guarantees
0.412020
Performance Guarantees of Distributed Algorithms for QoS in Wireless Ad Hoc Networks · IEEE/ACM Trans. Netw. 2020
Internet architecture and protocols
quality of service
0.412020
Performance Guarantees of Distributed Algorithms for QoS in Wireless Ad Hoc Networks · IEEE/ACM Trans. Netw. 2020
Wireless networking › link scheduling
maximal scheduling
0.312025
The Structure of Hypergraphs Arising in Cellular Mobile Communication Systems · IEEE Trans. Mob. Comput. 2025
Wireless networking
scheduling
0.312025
The Structure of Hypergraphs Arising in Cellular Mobile Communication Systems · IEEE Trans. Mob. Comput. 2025
Distributed computing theory
distributed algorithms
0.112020
Performance Guarantees of Distributed Algorithms for QoS in Wireless Ad Hoc Networks · IEEE/ACM Trans. Netw. 2020
Coding theory › error-correcting codes
algebraic coding theory
0.112007
On the Existence of Universally Decodable Matrices · IEEE Trans. Inf. Theory 2007
Coding theory › error-correcting codes
fading channel coding
0.112007
On the Existence of Universally Decodable Matrices · IEEE Trans. Inf. Theory 2007
Physical-layer communications › information theory
capacity analysis
0.012003
A virtual input-output framework for transceiver analysis and design for multipath fading channels · IEEE Trans. Commun. 2003
Physical-layer communications
MIMO
0.012003
A virtual input-output framework for transceiver analysis and design for multipath fading channels · IEEE Trans. Commun. 2003
Physical-layer communications › fading channels
multipath fading channel
0.012003
A virtual input-output framework for transceiver analysis and design for multipath fading channels · IEEE Trans. Commun. 2003
Physical-layer communications › coding theory
coding schemes
0.012007
On the Existence of Universally Decodable Matrices · IEEE Trans. Inf. Theory 2007
Physical-layer communications › fading channels › time-varying fading channel
slow fading channel
0.012007
On the Existence of Universally Decodable Matrices · IEEE Trans. Inf. Theory 2007
Physical-layer communications › modulation › multicarrier modulation
OFDM
0.012003
A virtual input-output framework for transceiver analysis and design for multipath fading channels · IEEE Trans. Commun. 2003

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

unit disk graph model · 1.7NP-hardness proof · 1.7fluid limit analysis · 0.9conflict graph · 0.9greedy maximal scheduling analysis · 0.5rosenbloom-tsfasman codes · 0.1finite field construction · 0.1closed-form capacity derivation · 0.0basis waveform expansion · 0.0
YearPublicationVenuePosition
2025 The Structure of Hypergraphs Arising in Cellular Mobile Communication Systems
abstract
An assumption that researchers have often used to model interference in a wireless network is the unit disk graph model. While many theoretical results and performance guarantees have been obtained under this model, an open research direction is to extend these results to hypergraph interference models. Motivated by recent results that the worst-case performance of the distributed maximal scheduling algorithm is characterized by the interference degree of the hypergraph, in the present work we investigate properties of the interference degree of the hypergraph and the structure of hypergraphs arising from physical constraints. We show that the problem of computing the interference degree of a hypergraph is NP-hard and we prove some properties and results concerning this hypergraph invariant. We investigate which hypergraphs are realizable, i.e. which hypergraphs arise in practice, based on physical constraints, as the interference model of a wireless network. In particular, a question that arises naturally is: what is the maximal value of$r$such that the hypergraph$K_{1,r}$is realizable? We determine this quantity for various integral and nonintegral values of the path loss exponent of signal propagation. We also investigate hypergraphs generated by line networks.
Ashwin Ganesan
IEEE Trans. Mob. Comput.1
2023 Performance analysis of distance-1 distributed algorithms for admission control under the 2-hop interference model
Ashwin Ganesan
Theor. Comput. Sci.1
2021 On Some Distributed Scheduling Algorithms for Wireless Networks With Hypergraph Interference Models
abstract
It is shown that the performance of the maximal scheduling algorithm in wireless ad hoc networks under the hypergraph interference model can be further away from optimal than previously known. The exact worst-case performance of this distributed, greedy scheduling algorithm is analyzed.
Ashwin Ganesan
IEEE Trans. Inf. Theory1
2020 Performance Guarantees of Distributed Algorithms for QoS in Wireless Ad Hoc Networks
abstract
Consider a wireless network where each communication link has a minimum bandwidth quality-of-service requirement. Certain pairs of wireless links interfere with each other due to being in the same vicinity, and this interference is modeled by a conflict graph. Given the conflict graph and link bandwidth requirements, the objective is to determine, using only localized information, whether the demands of all the links can be satisfied. At one extreme, each node knows the demands of only its neighbors; at the other extreme, there exists an optimal, centralized scheduler that has global information. The present work interpolates between these two extremes by quantifying the tradeoff between the degree of decentralization and the performance of the distributed algorithm. This open problem is resolved for the primary interference model, and the following general result is obtained: if each node knows the demands of all links in a ball of radius d centered at the node, then there is a distributed algorithm whose performance is away from that of an optimal, centralized algorithm by a factor of at most (2d+3)/(2d+2). The tradeoff between performance and complexity of the distributed algorithm is also analyzed. It is shown that for line networks under the protocol interference model, the row constraints are a factor of at most 3 away from optimal. Both bounds are best possible.
Ashwin Ganesan
IEEE/ACM Trans. Netw.1
2019 Fault tolerant supergraphs with automorphisms
Ashwin Ganesan
Discret. Appl. Math.1
2014 Performance of sufficient conditions for distributed quality-of-service support in wireless networks
Ashwin Ganesan
Wirel. Networks1
2007 On the Existence of Universally Decodable Matrices
abstract
Universally decodable matrices (UDMs) can be used for coding purposes when transmitting over slow fading channels. These matrices are parameterized by positive integers L and N and a prime power q. The main result of this correspondence is that the simple condition L = q + 1 is both necessary and sufficient for (L, N, q)-VDMs to exist. The existence proof is constructive and yields a coding scheme that is equivalent to a class of codes that was proposed by Rosenbloom and Tsfasman. Our work resolves an open problem posed recently in the literature.
Ashwin Ganesan, Pascal O. Vontobel
IEEE Trans. Inf. Theory1
2006 On universally decodable matrices for space-time coding
Pascal O. Vontobel, Ashwin Ganesan
Des. Codes Cryptogr.2
2003 A virtual input-output framework for transceiver analysis and design for multipath fading channels
abstract
An understanding of the interaction between the channel and the signal space is key to reliable communication. Multipath fading channels exhibit inherent diversity that can be exploited via appropriate signaling and reception. We develop a virtual multiple-input multiple-output framework for characterizing single-transmitter single-receiver multipath fading channels, where the virtual multiple inputs and outputs are created by the dimensions of the signaling scheme. The essence of the framework is a representation of the system with respect to appropriately chosen basis waveforms for the signal space that expose the inherent structure of the channel. The structure makes it possible to derive closed-form expressions for ergodic and outage capacity for a variety of transceivers and to design novel transceivers. In many cases, the analysis clearly reveals the key factors that affect system performance. We provide new capacity expressions for a variety of transceivers. In particular, by analyzing particular transceivers, we provide new expressions that bound the outage capacity performance of the multipath channel. A novelty of this work lies in being able to apply codes developed for orthogonal frequency-division multiplexing systems and multiple antenna systems to existing code-division multiple-access-based systems.
Ashwin Ganesan, Akbar M. Sayeed
IEEE Trans. Commun.1