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Federated Learning (FL) is a privacy-preserving machine learning technique that allows decentralized collaborative model training across a set of distributed clients, by avoiding raw data exchange. A fundamental component of FL is the…

Machine Learning · Computer Science 2025-05-20 Sara Alosaime , Arshad Jhumka

Crowdsourced software development (CSD) offers a series of specified tasks to a large crowd of trustworthy software workers. Topcoder is a leading platform to manage the whole process of CSD. While increasingly accepted as a realistic…

Software Engineering · Computer Science 2016-10-14 Muhammad Rezaul Karim , David Messinger , Ye Yang , Guenther Ruhe

We study low-signalling overhead scheduling for downlink coordinated multi-point (CoMP) transmission with multi-antenna base stations (BSs) and single-antenna users. By exploiting the asymmetric channel feature, i.e., the pathloss…

Information Theory · Computer Science 2015-05-27 Shengqian Han , Chenyang Yang , Mats Bengtsson

Massive MIMO systems can achieve high spectrum and energy efficiency in downlink (DL) based on accurate estimate of channel state information (CSI). Existing works have developed learning-based DL CSI estimation that lowers uplink feedback…

Information Theory · Computer Science 2022-05-31 Yu-Chien Lin , Ta-Sung Lee , Zhi Ding

Uplink scheduling/resource allocation under the single-carrier FDMA constraint is investigated, taking into account the queuing dynamics at the transmitters. Under the single-carrier constraint, the problem of MaxWeight scheduling, as well…

Networking and Internet Architecture · Computer Science 2013-01-08 Shreeshankar Bodas , Bilal Sadiq

In this paper, we focus on the scheduling problem in multi-channel wireless networks, e.g., the downlink of a single cell in fourth generation (4G) OFDM-based cellular networks. Our goal is to design practical scheduling policies that can…

Networking and Internet Architecture · Computer Science 2014-03-25 Bo Ji , Gagan R. Gupta , Manu Sharma , Xiaojun Lin , Ness B. Shroff

The success of deep learning ignited interest in whether the brain learns hierarchical representations using gradient-based learning. However, current biologically plausible methods for gradient-based credit assignment in deep neural…

Neural and Evolutionary Computing · Computer Science 2022-06-23 Alexander Meulemans , Matilde Tristany Farinha , Maria R. Cervera , João Sacramento , Benjamin F. Grewe

In this paper, we propose a series of novel coordination schemes for multi-cell downlink communication. Starting from full base station (BS) coordination, we first propose a fully-coordinated scheme to exploit beneficial effects of both…

Signal Processing · Electrical Eng. & Systems 2019-01-15 Zhongxiang Wei , Christos Masouros , Kai-Kit Wong , Xin Kang

In this paper, the scheduling of downlink file transmission in one cell with the assistance of cache nodes with finite cache space is studied. Specifically, requesting users arrive randomly and the base station (BS) reactively multicasts…

Information Theory · Computer Science 2020-01-15 Bojie Lv , Rui Wang , Ying Cui , Yi Gong , Haisheng Tan

In this paper, we address two crucial challenges in the design of cell-free (CF) systems: degradation in the performance of CF systems by imperfect channel state information at the transmitter (CSIT) and high computational/signaling loads…

Information Theory · Computer Science 2023-07-18 A. Flores , R. C. de Lamare , K. V. Mishra

Massive multiple-input multiple-output (MIMO) systems require downlink channel state information (CSI) at the base station (BS) to better utilize the available spatial diversity and multiplexing gains. However, in a frequency division…

Information Theory · Computer Science 2021-02-15 Mahdi Boloursaz Mashhadi , Qianqian Yang , Deniz Gunduz

This work studies a well-known shared-cache coded caching scenario where each cache can serve an arbitrary number of users, analyzing the case where there is some knowledge about such number of users (i.e., the topology) during the content…

Information Theory · Computer Science 2023-02-21 Emanuele Parrinello , Antonio Bazco-Nogueras , Petros Elia

This paper addresses the challenges of throughput optimization in wireless cache-aided cooperative networks. We propose an opportunistic cooperative probing and scheduling strategy for efficient content delivery. The strategy involves the…

Signal Processing · Electrical Eng. & Systems 2024-09-04 Zhou Zhang , Saman Atapattu , Yizhu Wang , Marco Di Renzo

Proportional Fair (PF) is a scheduling technique to maintain a balance between maximizing throughput and ensuring fairness to users. Dual Connectivity (DC) technique was introduced by the 3rd Generation Partnership Project (3GPP) to improve…

Networking and Internet Architecture · Computer Science 2020-02-18 Pradnya Kiri Taksande , Prasanna Chaporkar , Pranav Jha , Abhay Karandikar

We consider the problem of evaluating the cumulative distribution function (CDF) of the sum of order statistics, which serves to compute outage probability (OP) values at the output of generalized selection combining receivers. Generally,…

Computation · Statistics 2017-11-15 Nadhir Ben Rached , Zdravko Botev , Abla Kammoun , Mohamed-Slim Alouini , Raul Tempone

Wireless network scheduling and control techniques (e.g., opportunistic scheduling) rely heavily on access to Channel State Information (CSI). However, obtaining this information is costly in terms of bandwidth, time, and power, and could…

Information Theory · Computer Science 2014-04-29 Yin Sun , C. Emre Koksal , Sung-Ju Lee , Ness B. Shroff

This two-part paper develops novel methodologies for using fractional programming (FP) techniques to design and optimize communication systems. Part I of this paper proposes a new quadratic transform for FP and treats its application for…

Information Theory · Computer Science 2018-05-09 Kaiming Shen , Wei Yu

CFD users of supercomputers usually resort to rule-of-thumb methods to select the number of subdomains (partitions) when relying on MPI-based parallelization. One common approach is to set a minimum number of elements or cells per…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-06-30 G. Houzeaux , R. M. Badia , R. Borrell , D. Dosimont , J. Ejarque , M. Garcia-Gasulla , V. López

In this paper, we present a multi-user resource allocation framework using fragmented-spectrum synchronous OFDM-CDMA modulation over a frequency-selective fading channel. In particular, given pre-existing communications in the spectrum…

Networking and Internet Architecture · Computer Science 2016-04-26 Farhad Akhoundi , Saeed Sharifi-Malvajerdi , Omid Poursaeed , Jawad A. Salehi

Cell-free system where a group of base stations (BSs) cooperatively serves users has received much attention as a promising technology for the future wireless systems. In order to maximize the cooperation gain in the cell-free systems,…

Information Theory · Computer Science 2019-09-17 Seungnyun Kim , Jun Won Choi , Byonghyo Shim