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Meenakshi Sundaram Gandhi Praveen Kumar

dblp:164/6215 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2016
—ORCID · none

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

Computer networks · 2

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 · 88% Wireless networking · 12%
Theoretical computer science
1 paper
Coding theory · 100%

Topics — the 6 heaviest of 7, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Physical-layer communications
cooperative communication
0.212016
Two-Phase Cooperative Broadcasting Based on Batched Network Code · IEEE Trans. Commun. 2016
Physical-layer communications › cooperative communication
user cooperation
0.212016
Two-Phase Cooperative Broadcasting Based on Batched Network Code · IEEE Trans. Commun. 2016
Coding theory › network coding › packet-level coding
batched sparse code
0.212016
Two-Phase Cooperative Broadcasting Based on Batched Network Code · IEEE Trans. Commun. 2016
Coding theory
network coding
0.212016
Two-Phase Cooperative Broadcasting Based on Batched Network Code · IEEE Trans. Commun. 2016
Physical-layer communications › channel modeling › information-theoretic channel modeling
packet erasure channel
0.112016
Two-Phase Cooperative Broadcasting Based on Batched Network Code · IEEE Trans. Commun. 2016
Wireless networking › broadcast
reliable broadcast
0.112016
Two-Phase Cooperative Broadcasting Based on Batched Network Code · IEEE Trans. Commun. 2016

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

rank distribution analysis · 0.5distributed scheduling · 0.5batched network coding · 0.5
YearPublicationVenuePosition
2016 Two-Phase Cooperative Broadcasting Based on Batched Network Code
abstract
In this paper, we consider the wireless broadcasting scenario with a source node sending some common information to a group of closely located users, where each link is subject to certain packet erasures. To ensure reliable information reception by all users, the conventional approach generally requires repeated transmission by the source until all the users are able to decode the information, which is inefficient in many practical scenarios. In this paper, by exploiting the close proximity among the users, we propose a novel two-phase wireless broadcasting protocol with user cooperations based on an efficient batched network code, known as batched sparse (BATS) code. In the first phase, the information packets are encoded into batches with BATS encoder and sequentially broadcasted by the source node until certain terminating criterion is met. In the second phase, the users cooperate with each other by exchanging the network-coded information via peer-to-peer (P2P) communications based on their respective received packets. A fully distributed and light-weight scheduling algorithm is proposed to improve the efficiency of the P2P communication in the second phase. The performance of the proposed two-phase protocol is analyzed and the channel rank distribution at the instance of decoding is derived, based on which the optimal BATS code is designed. Simulation results show that the proposed protocol outperforms most existing cooperative packet exchange schemes, especially when the inter-user links are not reliable. Lastly, the performance of the proposed scheme is further verified via testbed experiments.
Xiaoli Xu 0001, Meenakshi Sundaram Gandhi Praveen Kumar, Yong Liang Guan 0001, Peter Han Joo Chong
IEEE Trans. Commun.2
2015 Reliable broadcast to a user group with limited source transmissions
abstract
In order to reduce the number of retransmissions and save power for the source node, we propose a two-phase coded scheme to achieve reliable broadcast from the source to a group of users with minimal source transmissions. In the first phase, the information packets are encoded with batched sparse (BATS) code, which are then broadcasted by the source node until the file can be cooperatively decoded by the user group. In the second phase, each user broadcasts the re-encoded packets to its peers based on their respective received packets from the first phase, so that the file can be decoded by each individual user. The performance of the proposed scheme is analyzed and the rank distribution at the moment of decoding is derived, which is used as input for designing the optimal BATS code. Simulation results show that the proposed scheme can reduce the total number of retransmissions compared with the traditional single-phase broadcast with optimal erasure codes. Furthermore, since a large number of transmissions are shifted from the source node to the users, power consumptions at the source node is significantly reduced.
Xiaoli Xu 0001, Meenakshi Sundaram Gandhi Praveen Kumar, Yong Liang Guan 0001
ICC2