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A comparison of three different Optical Burst Switching (OBS) architectures is made, in terms of performance criteria, control and hardware complexity, fairness, resource utilization, and burst loss probability. Regarding burst losses, we…

Networking and Internet Architecture · Computer Science 2010-11-30 Thomas Legrand , Bernard Cousin , Nicolas Brochier

Burst contention is a well-known challenging problem in Optical Burst Switching (OBS) networks. Contention resolution approaches are always reactive and attempt to minimize the BLR based on local information available at the core node. On…

Networking and Internet Architecture · Computer Science 2009-07-28 Martin Levesque , Halima Elbiaze

The bursting aggregation assembly in edge nodes is one of the key technologies in OBS (Optical Burst Switching) network, which has a direct impact on flow characteristics and packet loss rate. An optical burst assembly technique supporting…

Networking and Internet Architecture · Computer Science 2012-04-09 Sunish Kumar O S

The rapid development of telecommunication networks is driven by user demands for new applications and advances in technologies. The explosive growth of the internet traffic is due to its use for collecting the information, communication,…

Networking and Internet Architecture · Computer Science 2010-04-27 Vitthal J. Gond , Aditya Goel

Outage and error rate performance of the ordered BLAST with more than 2 transmit antennas is evaluated for i.i.d. Rayleigh fading channels. A number of lower and upper bounds on the 1st step outage probability at any SNR are derived, which…

Information Theory · Computer Science 2016-11-17 Sergey Loyka , Francois Gagnon

Loss of Signal (LOS) represents a significant cost for operators of optical networks. By studying large sets of real-world Performance Monitoring (PM) data collected from six international optical networks, we find that it is possible to…

Networking and Internet Architecture · Computer Science 2022-05-10 Wenjie Du , David Cote , Chris Barber , Yan Liu

Accurate channel estimation in orthogonal time frequency space (OTFS) systems with massive multiple-input multiple-output (MIMO) configurations is challenging due to high-dimensional sparse representation (SR). Existing methods often face…

Signal Processing · Electrical Eng. & Systems 2025-01-28 Ming Ma , Jisheng Dai , Xue-Qin Jiang

Fluid antenna systems (FASs) offer genuine simplicity for communication network design by eliminating expensive hardware overhead and reducing the complexity of access protocol architectures. Through the discovery of significant spatial…

Information Theory · Computer Science 2025-11-25 Zhentian Zhang , David Morales-Jimenez , Hao Jiang , Christos Masouros

The Available Bit Rate (ABR) service has been developed to support 21st century data applications over Asynchronous Transfer Mode (ATM). The ABR service uses a closed-loop rate-based traffic management framework where the network divides…

Networking and Internet Architecture · Computer Science 2007-05-23 Shivkumar Kalyanaraman , Raj Jain , Rohit Goyal , Sonia Fahmy , Seong-Cheol Kim

Prompt and effective corrective actions in response to unexpected contingencies are crucial for improving power system resilience and preventing cascading blackouts. The optimal load shedding (OLS) accounting for network limits has the…

Machine Learning · Computer Science 2025-02-12 Yuqi Zhou , Hao Zhu

This work analyzes the high-SNR asymptotic error performance of outage-limited communications with fading, where the number of bits that arrive at the transmitter during any time slot is random but the delivery of bits at the receiver must…

Information Theory · Computer Science 2016-11-17 Somsak Kittipiyakul , Petros Elia , Tara Javidi

The state-of-the-art online learning models generally conduct a single online gradient descent when a new sample arrives and thus suffer from suboptimal model weights. To this end, we introduce an online broad learning system framework with…

Machine Learning · Computer Science 2025-12-09 Chunyu Lei , Guang-Ze Chen , C. L. Philip Chen , Tong Zhang

While first-order channel statistics, such as bit-error rate (BER) and outage probability, play an important role in the design of wireless communication systems, they provide information only on the static behavior of fading channels. On…

Information Theory · Computer Science 2015-09-03 Ahmed O. D. Ali , Cenk M. Yetis , Murat Torlak

In Low Earth Orbit (LEO) satellite networks, Beam Hopping (BH) technology enables the efficient utilization of limited radio resources by adapting to varying user demands and link conditions. Effective BH planning requires prior knowledge…

Signal Processing · Electrical Eng. & Systems 2026-05-29 Yekta Demirci , Guillaume Mantelet , Stephane Martel , Jean-Francois Frigon , Gunes Karabulut Kurt

The congestion control algorithm bring such importance that it avoids the network link into severe congestion and guarantees network normal operation. Since The loss based algorithms introduce high transmission delay, to design new…

Networking and Internet Architecture · Computer Science 2019-09-10 Songyang Zhang

Dynamic data pruning accelerates deep learning by selectively omitting less informative samples during training. While per-sample loss is a common importance metric, obtaining it can be challenging or infeasible for complex models or loss…

Machine Learning · Computer Science 2026-04-07 Qing Zhou , Bingxuan Zhao , Tao Yang , Hongyuan Zhang , Junyu Gao , Qi Wang

The main issue in the optical transmission is switching speed. The optical packet switching faces many significant challenges in processing and buffering. The generalized multilevel protocol switching seeks to eliminate the asynchronous…

Networking and Internet Architecture · Computer Science 2010-04-27 Ravinder Yadav , Rinkle Rani Aggarwal

Effective and timely responses to unexpected contingencies are crucial for enhancing the resilience of power grids. Given the fast, complex process of cascading propagation, corrective actions such as optimal load shedding (OLS) are…

Machine Learning · Computer Science 2022-01-28 Yuqi Zhou , Jeehyun Park , Hao Zhu

All machine learning algorithms use a loss, cost, utility or reward function to encode the learning objective and oversee the learning process. This function that supervises learning is a frequently unrecognized hyperparameter that…

Neural and Evolutionary Computing · Computer Science 2024-11-06 Mathew Mithra Noel , Arindam Banerjee , Yug Oswal , Geraldine Bessie Amali D , Venkataraman Muthiah-Nakarajan

The adversarial worst-case load shedding (AWLS) problem is pivotal for identifying critical contingencies under line outages. It is naturally cast as a bilevel program: the upper level simulates an attacker determining worst-case line…

Systems and Control · Electrical Eng. & Systems 2025-12-09 Young-ho Cho , Harsha Nagarajan , Deepjyoti Deka , Hao Zhu
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