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Dennis Ogbe

dblp:186/8369 · DBLP profile ↗
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6ranked-venue papers
4as first author
2since 2021 · last 2023
0000-0003-2269-0009ORCID · corroborated

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

Computer networks · 3 · 1 first-author · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-authorTheory of computation · 1 · 1 first-author · 1 since 2021Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author

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.

Theoretical computer science
1 paper
Coding theory · 50% Information theory · 50%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Coding theory
network coding
0.712023
On the Optimal Delay Growth Rate of Multi-Hop Line Networks: Asymptotically Delay-Optimal Designs and the Corresponding Error Exponents · IEEE Trans. Inf. Theory 2023
Information theory › network information theory
throughput-delay tradeoff
0.712023
On the Optimal Delay Growth Rate of Multi-Hop Line Networks: Asymptotically Delay-Optimal Designs and the Corresponding Error Exponents · IEEE Trans. Inf. Theory 2023

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

variable-length coding · 0.7stop-feedback · 0.7
YearPublicationVenuePosition
2023 On the Optimal Delay Growth Rate of Multi-Hop Line Networks: Asymptotically Delay-Optimal Designs and the Corresponding Error Exponents
abstract
Multi-hop line networks have emerged as an important abstract model for modern and increasingly dense communication networks. In addition, the growth of real-time and mission-critical services has created high demand for and increased research interest in low-latency communications. The combination of these facts motivates a new investigation of data transmission schemes for$L$-hop line networks from a delay-vs-throughput perspective. To this end, this work defines a metric called the delay amplification factor for a target throughput$R$, denoted by${\mathsf {DAF}}(R)$, which characterizes the growth rate of the (asymptotic) delay with respect to the number of hops. We show that all existing relay schemes, e.g., Decode-&-Forward (DF), have$\lim _{R\nearrow C} {\mathsf {DAF}}(R)=\Omega (L)$, which is consistent with the decades-old perception that delay grows linearly with respect to$L$. We then design a scheme satisfying$\lim _{R\nearrow C} {\mathsf {DAF}}(R)=1$, if the bottleneck hop is the last hop, i.e., its asymptotic delay does not grow with respect to$L$. The results imply that this linearly growing delay is an artifact of the existing DF designs, and it is possible to surpass it and attain the true fundamental limit with a new delay-centric solution. In the second half of this work, we further show that if variable-length coding and one-bit stop-feedback are allowed, we can relax the condition bottleneck being the last hop and attain$\lim _{R\nearrow C} {\mathsf {DAF}}(R)= 1$for any arbitrary line networks.
Dennis Ogbe, Chih-Chun Wang, David J. Love
IEEE Trans. Inf. Theory1
2021 Can Wi-Fi 7 Support Real-Time Applications? On the Impact of Multi Link Aggregation on Latency
abstract
Multi Link Aggregation (MLA) is a feature likely to be introduced in Wi-Fi 7, the next-generation of Wi-Fi, which will be based on the IEEE 802.11be specifications. MLA will allow Wi-Fi devices that support multiple bands (such as the 2.4 GHz, 5 GHz, and 6 GHz bands) to operate on them simultaneously. The resulting throughput and latency gains are likely to bring Wi-Fi one step closer to supporting emerging real-time applications like augmented and virtual reality. While throughput gains resulting from the use of MLA are mostly linear, the latency gains exhibit interesting characteristics and are the subject of this paper. We use our in-house simulator to study the latency enhancements resulting from MLA and seek to answer whether Wi-Fi 7 devices can meet the challenging latency requirements demanded by most real-time applications. In this pursuit, we observe that allowing Wi-Fi devices to contend on even a single additional link without changing any physical layer parameters can lead to an order of magnitude improvement in the worst-case latency in many scenarios. In addition, we highlight that even in dense conditions, MLA can help Wi-Fi devices meet the challenging latency requirements of most real-time applications.
Gaurang Naik, Dennis Ogbe, Jung-Min Park 0001
ICC2
2020 Backhauling Many Devices: Relay Schemes for Massive Random Access Networks
Dennis Ogbe, David J. Love, Chih-Chun Wang
GLOBECOM1
2019 On the Optimal Delay Amplification Factor of Multi-Hop Relay Channels
abstract
The abstract model of the multi-hop relay channel is fundamental to a vast variety of modern communication systems. This fact, coupled with the demand for ultra-reliable-low-latency communication (URLLC), motivates a new investigation of relay channels from a delay-vs-throughput perspective. This work seeks to analyze this tradeoff in the regime of asymptotically large, yet still finite delay. A new metric called the Delay Amplification Factor (DAF) is introduced, which allows analytic comparison of the asymptotic delay across different relay solutions, e.g. decode-&-forward (DF), compress-&-forward, etc. The optimal DAF (over all possible existing/future designs) is then characterized for two special settings, one with fixed-length coding and one with variable-length coding and 1-bit stop feedback. The results show that under some general conditions, the optimal end-to-end delay over an L-hop line network is asymptotically comparable to the delay over the single bottleneck hop, and it does not grow linearly with respect to L. The linearly growing delay penalty commonly encountered in DF and other schemes is thus an artifact rather than a fundamental limit of multi-hop relay communication.
Dennis Ogbe, Chih-Chun Wang, David J. Love
ISIT1
2018 Optimal Precoder Design for Distributed Transmit Beamforming Over Frequency-Selective Channels
abstract
We consider the problem of optimal precoder design for a multi-input single-output wideband wireless system to maximize two different figures of merit: the total communication capacity and the total received power, subject to individual power constraints on each transmit element. We show that the two optimal precoders satisfy a separation principle that reveals a simple structure for these precoders. We use this separation principle extensively to derive several interesting properties of these two optimal precoders. Some key analytical results are as follows. We show that the power-maximizing precoders must concentrate all their energy in a small number of active channels that cannot exceed the number of input terminals. The capacity-maximizing precoder turns out to be very different from the classical water filling solutions and also very different from the power-maximizing precoders except at asymptotically low SNRs where the power-maximizing precoders also maximize capacity. We also show that the capacity of the wideband system is lower bounded by the sum rate of a multiple-access channel with the same channel gains and power constraints. Finally, the separation principle also yields simple fixed-point algorithms that allow for the efficient numerical computation of the two optimal precoders.
Sairam Goguri, Dennis Ogbe, Soura Dasgupta, Raghuraman Mudumbai, D. Richard Brown III, David J. Love, Upamanyu Madhow
IEEE Trans. Wirel. Commun.2
2017 Iterative beam alignment algorithms for TDD MIMO systems
abstract
We propose two novel, low-complexity techniques for beam alignment in time division duplexing (TDD) multiple-input multiple-output (MIMO) systems. The techniques are inspired by the power method, an iterative algorithm to determine eigenvalues and eigenvectors through repeated matrix multiplications and improve upon this simple idea by providing a better performance in the low-SNR regime. The first technique sequentially constructs a least-squares estimate of the channel matrix, which is then used to calculate the optimal beamformer/combiner pair. The second technique aims to mitigate the effect of additive noise by using a linear combination of the previously tried beams to calculate the next beam in the iteration. Simulation results provide insight on the performance of both algorithms in the presence of noise and compare them with similar techniques from the literature.
Dennis Ogbe, David J. Love, Vasanthan Raghavan
ICASSP1