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This paper studies integrated sensing and communication (ISAC) with dynamic time division duplex (DTDD) cell-free (CF) massive multiple-input multiple-output~(mMIMO) systems. DTDD enables the CF mMIMO system to concurrently serve both…

Signal Processing · Electrical Eng. & Systems 2025-08-15 Anubhab Chowdhury , Sai Subramanyam Thoota , Erik G. Larsson

Delay alignment modulation (DAM) is a promising technology for inter-symbol interference (ISI)-free communication without relying on sophisticated channel equalization or multi-carrier transmissions. The key ideas of DAM are delay…

Information Theory · Computer Science 2023-04-03 Dingyang Ding , Yong Zeng

Providing guaranteed quality of service for cell-edge users remains a longstanding challenge in wireless networks. While coordinated interference management was proposed decades ago, its potential has been limited by computational…

Signal Processing · Electrical Eng. & Systems 2026-03-31 Tenghao Cai , Lei Li , Shutao Zhang , Tsung-Hui Chang

The challenge of designing an efficient Medium Access Control (MAC) protocol and analyzing it has been an important research topic for over 30 years. This paper focuses on the performance analysis (through simulation) and modification of a…

Cryptography and Security · Computer Science 2009-07-06 Piyush Kumar Shukla , Dr. S. Silakari , Dr. Sarita Singh Bhadoria

This paper introduces a novel joint communication and proactive monitoring (JCAM) system that simultaneously monitors multiple untrusted links and serves multiple legitimate users. The system leverages a cell-free massive multiple-input…

Signal Processing · Electrical Eng. & Systems 2026-04-07 Mustafa S. Abbas , Zahra Mobini , Hamid Reza Hashempour , Hien Quoc Ngo , Michail Matthaiou

In this paper, we study how to efficiently and reliably detect active devices and estimate their channels in a multiple-input multiple-output (MIMO) orthogonal frequency-division multiplexing (OFDM) based grant-free non-orthogonal multiple…

Information Theory · Computer Science 2022-11-14 Wenjun Jiang , Mingyang Yue , Xiaojun Yuan , Yong Zuo

This work presents blind constrained constant modulus (CCM) adaptive algorithms based on the set-membership filtering (SMF) concept and incorporates dynamic bounds {for interference suppression} applications. We develop stochastic gradient…

Information Theory · Computer Science 2015-06-12 Rodrigo C. de Lamare , Paulo S. R. Diniz

Scheduling fast uplink grant transmissions for machine type communications (MTCs) is one of the main challenges of future wireless systems. In this paper, a novel fast uplink grant scheduling method based on the theory of multi-armed…

Information Theory · Computer Science 2018-11-01 Samad Ali , Aidin Ferdowsi , Walid Saad , Nandana Rajatheva , Jussi Haapola

Reconfigurable intelligent surfaces (RISs) have become a promising candidate for the development of future mobile systems. In the context of massive machine-type communications (mMTC), a RIS can be used to support the transmission from a…

Signal Processing · Electrical Eng. & Systems 2024-12-11 Sergi Liesegang , Alessio Zappone , Olga Muñoz , Antonio Pascual-Iserte

The rapid variation of the wireless channel (short channel coherence time) and the phase noise are two prominent concerns in Millimeter-wave (mmWave) and sub-Terahertz systems communication systems. Equalizing the channel effect and…

Information Theory · Computer Science 2025-09-03 Mohaned Chraiti , Ozgur Ercetin , Ali Ghrayeb , Ali Gorcin

This paper considers joint device activity detection and channel estimation in Internet of Things (IoT) networks, where a large number of IoT devices exist but merely a random subset of them become active for short-packet transmission at…

Information Theory · Computer Science 2021-05-06 Qipeng Wang , Liang Liu , Shuowen Zhang , Francis C. M. Lau

In this paper, a novel approach based on the concept of opportunistic spatial orthogonalization (OSO) is proposed for interference management between machine type communications (MTC) and conventional cellular communications. In particular,…

Information Theory · Computer Science 2019-05-27 Samad Ali , Hossein Asgharimoghaddam , Nandana Rajatheva , Walid Saad , Jussi Haapola

This paper proposes a distributed version of Determinant Point Processing (DPP) inference to enhance multi-source data diversification under limited communication bandwidth. DPP is a popular probabilistic approach that improves data…

Machine Learning · Computer Science 2023-11-21 Xiwen Chen , Huayu Li , Rahul Amin , Abolfazl Razi

Massive MIMO is a variant of multiuser MIMO, where the number of antennas $M$ at the base-station is large, and generally much larger than the number of spatially multiplexed data streams to/from the users. It has been observed that in many…

Information Theory · Computer Science 2017-07-25 Saeid Haghighatshoar , Giuseppe Caire

In this work the dynamic compressive sensing (CS) problem of recovering sparse, correlated, time-varying signals from sub-Nyquist, non-adaptive, linear measurements is explored from a Bayesian perspective. While there has been a handful of…

Information Theory · Computer Science 2015-06-05 Justin Ziniel , Philip Schniter

Millimeter-wave (mmW)/Terahertz (THz) wideband communication employing a large-scale antenna array is a promising technique of the sixth-generation (6G) wireless network for realizing massive machine-type communications (mMTC). To reduce…

Information Theory · Computer Science 2021-09-08 Xiaodan Shao , Xiaoming Chen , Caijun Zhong , Zhaoyang Zhang

This paper considers a general framework for massive random access based on sparse superposition coding. We provide guidelines for the code design and propose the use of constant-weight codes in combination with a dictionary design based on…

Information Theory · Computer Science 2022-07-27 Patrick Agostini , Zoran Utkovski , Alexis Decurninge , Maxime Guillaud , Slawomir Stanczak

This paper considers a movable antenna (MA)-aided secure multiple-input multiple-output (MIMO) communication system consisting of a base station (BS), a legitimate information receiver (IR) and an eavesdropper (Eve), where the BS is…

Information Theory · Computer Science 2024-03-08 Jun Tang , Cunhua Pan , Yang Zhang , Hong Ren , Kezhi Wang

This paper is focused on multiuser load modulation arrays (MU-LMAs) which are attractive due to their low system complexity and reduced cost for millimeter wave (mmWave) multi-input multi-output (MIMO) systems. The existing precoding…

Signal Processing · Electrical Eng. & Systems 2023-11-09 Ercong Yu , Jinle Zhu , Qiang Li , Zilong Liu , Hongyang Chen , Shlomo Shamai , H. Vincent Poor

Dynamic Mode Decomposition (DMD) is an unsupervised machine learning method that has attracted considerable attention in recent years owing to its equation-free structure, ability to easily identify coherent spatio-temporal structures in…

Machine Learning · Computer Science 2022-02-16 Alex Viguerie , Gabriel F. Barros , Malú Grave , Alessandro Reali , Alvaro L. G. A. Coutinho