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The massive amounts of machine-type user equipments (UEs) will be supported in the future fifth generation (5G) networks. However, the potential large random access (RA) delay calls for a new RA scheme and for a detailed assessment of its…

信息论 · 计算机科学 2017-05-04 Yanan Liang , Xu Li , Jiayi Zhang , Zhiguo Ding

Traditional wisdom for network management allocates network resources separately for the measurement and data transmission tasks. Heavy measurement tasks may take up resources for data transmission and significantly reduce network…

网络与互联网体系结构 · 计算机科学 2026-03-13 Haifeng Jia , Yichen Wei , Zhan Wang , Jiani Jin , Haorui Li , Yibo Pi

Successive interference cancellation (SIC) is based on the idea that some interfering signals may be strong enough to decode in order to be removed from the aggregate received signal and thus boost performance. In this letter, we study the…

信息论 · 计算机科学 2016-11-17 Constantinos Psomas , Ioannis Krikidis

Noninterference guarantees that an attacker cannot infer secrets by interacting with a program. Information flow control (IFC) type systems assert noninterference by tracking the level of information learned (pc) and disallowing…

编程语言 · 计算机科学 2024-07-31 Farzaneh Derakhshan , Stephanie Balzer , Yue Yao

We propose InsNet, an expressive insertion-based text generator with efficient training and flexible decoding (parallel or sequential). Unlike most existing insertion-based text generation works that require re-encoding of the context after…

计算与语言 · 计算机科学 2022-10-18 Sidi Lu , Tao Meng , Nanyun Peng

Partial orders are used extensively for modeling and analyzing concurrent computations. In this paper, we define two properties of partially ordered sets: width-extensibility and interleaving-consistency, and show that a partial order can…

分布式、并行与集群计算 · 计算机科学 2014-10-07 Himanshu Chauhan , Vijay K. Garg

Noise contrastive estimation (NCE) is a popular method for training energy-based models (EBM) with intractable normalisation terms. The key idea of NCE is to learn by comparing unnormalised log-likelihoods of the reference and noisy…

声音 · 计算机科学 2025-05-21 Wanli Sun , Anton Ragni

This work analyzes the optimized deployment of two resources scarcely available in mobile multiple access systems, i.e., spectrum and energy, as well as the impact of filter optimization in the system performance. Taking in perspective the…

最优化与控制 · 数学 2012-06-20 Álvaro R. C. Souza , Taufik Abrão , Lucas H. Sampaio , Paul Jean E. Jeszensky

We consider a spectrum-sharing network where n secondary relays are used to increase secondary rate and also mitigate interference on the primary by reducing the required overall secondary emitted power. We propose a distributed relay…

信息论 · 计算机科学 2012-10-05 Yang Li , Aria Nosratinia

Existing cross-encoder models can be categorized as pointwise, pairwise, or listwise. Pairwise and listwise models allow passage interactions, which typically makes them more effective than pointwise models but less efficient and less…

Mobile Edge Computing (MEC) requires Network Operators (NOs) to undertake substantial infrastructure investments, while most revenues are captured by Service Providers (SPs) offering end-user applications. This cost-revenue imbalance…

计算机科学与博弈论 · 计算机科学 2026-05-15 Amal Sakr , Andrea Araldo , Tijani Chahed , Daniel Kofman

Structure encoding has proven to be the key feature to distinguishing links in a graph. However, Structure encoding in the temporal graph keeps changing as the graph evolves, repeatedly computing such features can be time-consuming due to…

机器学习 · 计算机科学 2024-07-31 Ke Cheng , Linzhi Peng , Junchen Ye , Leilei Sun , Bowen Du

Counterfactual Explanations (CEs) have received increasing interest as a major methodology for explaining neural network classifiers. Usually, CEs for an input-output pair are defined as data points with minimum distance to the input that…

机器学习 · 计算机科学 2024-04-05 Junqi Jiang , Jianglin Lan , Francesco Leofante , Antonio Rago , Francesca Toni

In large scale distributed computing systems, communication overhead is one of the major bottlenecks. In the map-shuffle-reduce framework, which is one of the major distributed computing frameworks, the communication load among servers can…

信息论 · 计算机科学 2020-05-14 Shunsuke Horii

The InfoNCE objective, originally introduced for contrastive representation learning, has become a popular choice for mutual information (MI) estimation, despite its indirect connection to MI. In this paper, we demonstrate why InfoNCE…

机器学习 · 计算机科学 2025-10-31 J. Jon Ryu , Pavan Yeddanapudi , Xiangxiang Xu , Gregory W. Wornell

Complex systems, such as economic, social, biological, and ecological systems, usually feature interactions not only between pairwise entities but also among three or more entities. These multi-entity interactions are known as higher-order…

物理与社会 · 物理学 2025-06-06 Junhap Bian , Tao Zhou , Yilin Bi

In this paper, we propose an opportunistic network coding (ONC) scheme in cellular relay networks, which operates depending on whether the relay decodes source messages successfully or not. A fully distributed method is presented to…

信息论 · 计算机科学 2016-11-17 Yulong Zou , Jia Zhu , Baoyu Zheng

In this paper, we consider a multi-agent resilient consensus problem, where some of the nodes may behave maliciously. The approach is to equip all nodes with a scheme to detect neighboring nodes when they behave in an abnormal fashion. To…

系统与控制 · 电气工程与系统科学 2021-01-14 Liwei Yuan , Hideaki Ishii

The \emph{Order-Maintenance} (OM) data structure maintains a total order list of items for insertions, deletions, and comparisons. As a basic data structure, OM has many applications, such as maintaining the topological order, core numbers,…

数据结构与算法 · 计算机科学 2024-10-15 Bin Guo , Emil Sekerinski

Point forecasting for graph-structured multivariate time series is a fundamental problem, but rigorous uncertainty quantification for such predictions is still underexplored. Conformal prediction (CP) offers uncertainty estimation with a…

机器学习 · 计算机科学 2026-05-07 Ruichao Guo , Xingyao Han , Luo Wenshui , Zhe Liu , Chen Gong , Hesheng Wang