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Distributed deep learning (DDL) training systems are designed for cloud and data-center environments that assumes homogeneous compute resources, high network bandwidth, sufficient memory and storage, as well as independent and identically…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-01-30 Sahil Tyagi , Martin Swany

The growing demand for efficient delivery of common content to multiple user equipments (UEs) has motivated significant research in physical-layer multicasting. By exploiting the beamforming capabilities of massive MIMO, multicasting…

Signal Processing · Electrical Eng. & Systems 2025-11-11 Mahmoud Zaher , Emil Björnson

Hybrid main memory systems combine both performance and capacity advantages from heterogeneous memory technologies. With larger capacities, higher associativities, and finer granularities, hybrid memory systems currently exhibit significant…

Hardware Architecture · Computer Science 2024-08-27 Yiwei Li , Boyu Tian , Mingyu Gao

Deploying large language models (LLMs) on edge devices is challenging due to their limited memory and power resources. Cloud-only inference reduces device burden but introduces high latency and cost. Static edge-cloud partitions optimize a…

Distributed optimization has attracted lots of attention in the operation of power systems in recent years, where a large area is decomposed into smaller control regions each solving a local optimization problem with periodic information…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-11-07 Junyao Guo , Gabriela Hug , Ozan Tonguz

Mobile edge computing (MEC) and millimeter wave (mmWave) communications are capable of significantly reducing the network's delay and enhancing its capacity. In this paper we investigate a mmWave and device-to-device (D2D) assisted MEC…

Signal Processing · Electrical Eng. & Systems 2022-07-19 Yanzhen Liu , Yunlong Cai , An Liu , Minjian Zhao , Lajos Hanzo

We propose two variants of the Primal Dual Hybrid Gradient (PDHG) algorithm for saddle point problems with block decomposable duals, hereafter called Multi-Timescale PDHG (MT-PDHG) and its accelerated variant (AMT-PDHG). Through novel…

Optimization and Control · Mathematics 2026-04-03 Junhui Zhang , Patrick Jaillet

It is commonly assumed that the end-to-end networking performance of edge offloading is purely dictated by that of the network connectivity between end devices and edge computing facilities, where ongoing innovation in 5G/6G networking can…

Performance · Computer Science 2023-07-11 Walid A. Hanafy , Limin Wang , Hyunseok Chang , Sarit Mukherjee , T. V. Lakshman , Prashant Shenoy

Rate splitting (RS) is a potentially powerful and flexible technique for multi-antenna downlink transmission. In this paper, we address several technical challenges towards its practical implementation for beyond 5G systems. To this end, we…

Information Theory · Computer Science 2020-02-19 Zheng Li , Chencheng Ye , Ying Cui , Sheng Yang , Shlomo Shamai

The exponential proliferation of mobile devices and data-intensive applications in future wireless networks imposes substantial computational burdens on resource-constrained devices, thereby fostering the emergence of over-the-air…

Signal Processing · Electrical Eng. & Systems 2025-12-24 Tuo Wu , Xiazhi Lai , Shihang Lu , Zihao Chen , Xiaotong Zhao , Yuanhao Cui

With the emergence of large model-based agents, widely adopted transformer-based architectures inevitably produce excessively long token embeddings for transmission, which may result in high bandwidth overhead, increased power consumption…

Networking and Internet Architecture · Computer Science 2025-11-04 Junhe Zhang , Wanli Ni , Pengwei Wang , Dongyu Wang

Several novel industrial applications involve human control of vehicles, cranes, or mobile robots through various high-throughput feedback systems, such as Virtual Reality (VR) and tactile/haptic signals. The near real-time interaction…

Networking and Internet Architecture · Computer Science 2022-08-26 Andrea Bedin , Federico Chiariotti , Andrea Zanella

Coded modulation is a key technique to increase the spectral efficiency of coherent optical communication systems. Two popular strategies for coded modulation are turbo trellis-coded modulation (TTCM) and bit-interleaved coded modulation…

Information Theory · Computer Science 2017-10-12 Eric Sillekens , Alex Alvarado , Chigo Okonkwo , Benn C. Thomsen

Computing problems that handle large amounts of data necessitate the use of lossless data compression for efficient storage and transmission. We present a novel lossless universal data compression algorithm that uses parallel computational…

Information Theory · Computer Science 2023-07-19 Nikhil Krishnan , Dror Baron

The fifth generation (5G) of the wireless communication networks supports wide diversity of service classes, leading to a highly dynamic uplink (UL) and downlink (DL) traffic asymmetry. Thus, dynamic time division duplexing (TDD) technology…

Signal Processing · Electrical Eng. & Systems 2019-02-11 Ali A. Esswie , Klaus I. Pedersen

There is a growing interest in the transition from 4-step random access to 2-step random access in machine-type communication (MTC), since 2-step random access is well-suited to short message delivery in various Internet of Things (IoT)…

Information Theory · Computer Science 2021-01-01 Jinho Choi

As an enhanced version of massive machine-type communication in 5G, massive communication has emerged as one of the six usage scenarios anticipated for 6G, owing to its potential in industrial internet-of-things and smart metering. Driven…

Information Theory · Computer Science 2025-04-17 Yutao Chen , Wei Chen

Reliable communication is a challenge in a very noisy RF channel further corrupted by severe, multiple narrowband interference. Code Division Multiple Access (CDMA) is a widely used method to both mitigate such interference and support…

Information Theory · Computer Science 2014-10-20 Dave Clites , Richard Orr , Jack Rieser , Michael Dellomo

Pipeline parallelism (PP) is widely used for training large language models (LLMs), yet its scalability is often constrained by high activation memory consumption as the number of in-flight microbatches grows with the degree of PP. In this…

Machine Learning · Computer Science 2025-07-01 Xinyi Wan , Penghui Qi , Guangxing Huang , Min Lin , Jialin Li

This paper investigates a joint beamforming and resource allocation problem in downlink reconfigurable intelligent surface (RIS)-assisted orthogonal frequency division multiplexing (OFDM) systems to minimize the average delay, where data…

Artificial Intelligence · Computer Science 2025-07-25 Yu Ma , Xiao Li , Chongtao Guo , Le Liang , Michail Matthaiou , Shi Jin