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In this paper, we propose a widely-linear (WL) receiver structure for multiple access interference (MAI) and {jamming signal (JS)} suppression in direct-sequence code-division multiple-access (DS-CDMA) systems. A vector space projection…

Networking and Internet Architecture · Computer Science 2014-07-08 J. Yang , R. C. de Lamare

We develop a pragmatic multi-user (MU) massive multiple-input multiple-output (MIMO) channel model tailored to the THz band, encompassing factors such as molecular absorption, reflection losses and multipath diffused ray components. Next,…

Signal Processing · Electrical Eng. & Systems 2026-03-24 Abhisha Garg , Suraj Srivastava , Varsha Dubey , Aditya Jagannatham , Lajos Hanzo

This paper investigates joint device identification, channel estimation, and signal detection for LEO satellite-enabled grant-free random access, where a multiple-input multipleoutput (MIMO) system with orthogonal time-frequency space…

Information Theory · Computer Science 2023-08-08 Boxiao Shen , Yongpeng Wu , Wenjun Zhang , Symeon Chatzinotas , Björn Ottersten

The second generation (2G) cellular networks are the current workhorse for machine-to-machine (M2M) communications. Diversity in 2G devices can be present both in form of multiple receive branches and blind repetitions. In presence of…

Information Theory · Computer Science 2015-11-25 Sha Hu , Harald Kroll , Qiuting Huang , Fredrik Rusek

Consider a multiuser multiple-input multiple-output (MU-MIMO) downlink system in which the base station (BS) sends multiple data streams to multi-antenna users via symbol-level precoding (SLP), where the optimization of receive combining…

Signal Processing · Electrical Eng. & Systems 2023-07-28 Xiao Tong , Ang Li , Lei Lei , Fan Liu , Fuwang Dong

Recently, beyond diagonal reconfigurable intelligent surface (BD-RIS) has emerged as a more flexible solution to engineer the wireless propagation channels, thanks to its non-diagonal reflecting matrix. Although the gain of the BD-RIS over…

Signal Processing · Electrical Eng. & Systems 2025-08-18 Xiaoqi Zhang , Liang Liu , Shuowen Zhang , Haijun Zhang

The superimposed pilot transmission scheme offers substantial potential for improving spectral efficiency in MIMO-OFDM systems, but it presents significant challenges for receiver design due to pilot contamination and data interference. To…

Information Theory · Computer Science 2025-07-15 Xinjie Li , Xingyu Zhou , Yixiao Cao , Jing Zhang , Chao-Kai Wen , Xiao Li , Shi Jin

This paper presents a new adaptive algorithm for the linearly constrained minimum variance (LCMV) beamformer design. We incorporate the set-membership filtering (SMF) mechanism into the reduced-rank joint iterative optimization (JIO) scheme…

Information Theory · Computer Science 2013-02-19 Lei Wang , Rodrigo C. de Lamare

In this work, we propose a novel adaptive reduced-rank receive processing strategy based on joint preprocessing, decimation and filtering (JPDF) for large-scale multiple-antenna systems. In this scheme, a reduced-rank framework is employed…

Information Theory · Computer Science 2016-11-15 Y. Cai , R. C. de Lamare , B. Qin , B. Champagne , M. Zhao

An adaptive joint power allocation (JPA) and linear receiver design algorithm using the minimum bit error rate (MBER) criterion for a cooperative Multiple-Input Multiple-Output (MIMO) network is proposed. The system employs multiple relays…

Information Theory · Computer Science 2013-03-21 Tong Peng , Rodrigo C. de Lamare , Anke Schmeink

We present a tutorial on reduced-rank signal processing, design methods and algorithms for dimensionality reduction, and cover a number of important applications. A general framework based on linear algebra and linear estimation is employed…

Information Theory · Computer Science 2015-08-05 Rodrigo C. de Lamare

This paper presents joint power allocation and interference mitigation techniques for the downlink of spread spectrum systems which employ multiple relays and the amplify and forward cooperation strategy. We propose a joint constrained…

Information Theory · Computer Science 2013-01-29 Rodrigo C. de Lamare

Reconfigurable Intelligent Surfaces (RISs) are regarded as a key technology for future wireless communications, enabling programmable radio propagation environments. However, the passive reflecting feature of RISs induces notable challenges…

Signal Processing · Electrical Eng. & Systems 2022-02-15 Liuhang Wang , Nir Shlezinger , George C. Alexandropoulos , Haiyang Zhang , Baoyun Wang , Yonina C. Elda

In doubly selective channels, receiver windowing constitutes an effective technique for enhancing the banded structure of the frequency-domain channel matrix, and thus improving the effectiveness of a banded equalizer for intercarrier…

Information Theory · Computer Science 2016-09-19 Evangelos Vlachos , Kostas Berberidis

This paper addresses the challenge of joint communication and sensing (JCAS) in next-generation wireless networks, with an emphasis on in-band full-duplex (IBFD) multiple-input multiple-output (MIMO) systems. Traditionally,…

Emerging Technologies · Computer Science 2025-08-29 Siyao Li , Conrad Prisby , Thomas Yang

Much stringent reliability and processing latency requirements in ultra-reliable-low-latency-communication (URLLC) traffic make the design of linear massive multiple-input-multiple-output (M-MIMO) receivers becomes very challenging.…

Information Theory · Computer Science 2021-10-28 Alva Kosasih , Wibowo Hardjawana , Branka Vucetic , Chao-Kai Wen

A space-time adaptive decision feedback (DF) receiver using recurrent neural networks (RNN) is proposed for joint equalization and interference suppression in direct-sequence code-division-multiple-access (DS-CDMA) systems equipped with…

Information Theory · Computer Science 2013-01-23 Rodrigo C. de Lamare , Raimundo Sampaio-Neto

Reconfigurable intelligent surface (RIS) is a newly-emerged technology that might fundamentally change how wireless networks are operated. Though extensively studied in recent years, the practical limitations of RIS are often neglected when…

Signal Processing · Electrical Eng. & Systems 2023-12-12 Parisa Ramezani , Yasaman Khorsandmanesh , Emil Björnson

This chapter presents reduced-rank linearly constrained minimum variance (LCMV) algorithms based on the concept of joint iterative optimization of parameters. The proposed reduced-rank scheme is based on a constrained robust joint iterative…

Information Theory · Computer Science 2013-02-12 R. C. de Lamare

The practical implementation of maximum likelihood detection is limited by its high complexity as well as requiring perfect channel state information. Although conventional blind detection techniques reduce complexity, they degrade…

Signal Processing · Electrical Eng. & Systems 2019-09-12 M. A. Amirabadi