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We study the achievable rates by a single user in multibeam satellite scenarios. We show alternatives to the conventional symbol-by-symbol detection applied at user terminals. Single user detection is known to suffer from strong degradation…

Information Theory · Computer Science 2015-03-16 Giulio Colavolpe , Andrea Modenini , Amina Piemontese , Alessandro Ugolini

This paper focuses on multiuser MIMO channel estimation and data transmission at millimeter wave (mmWave) frequencies. The proposed approach relies on the time-division-duplex (TDD) protocol and is based on two distinct phases. First of…

Information Theory · Computer Science 2017-04-25 Stefano Buzzi , Carmen D'Andrea

We study asymptotic properties of expectation propagation (EP) -- a method for approximate inference originally developed in the field of machine learning. Applied to generalized linear models, EP iteratively computes a multivariate…

Information Theory · Computer Science 2018-05-11 Burak Çakmak , Manfred Opper

Single Input-Multiple Output (SIMO) systems are key enablers of high data rates in the next generation wireless communications. However in SIMO systems, channel estimation and equalization are challenging particularly in the presence of…

Information Theory · Computer Science 2025-12-09 K Sai Praneeth , P Aswathylakshmi , Radhakrishna Ganti

The conventional grant-based network relies on the handshaking between base station and active users to achieve dynamic multi-user scheduling, which may cost large signaling overheads as well as system latency. To address those problems,…

Signal Processing · Electrical Eng. & Systems 2017-11-27 Fan Wei , Wen Chen , Yongpeng Wu , Jun Ma , Theodoros A. Tsiftsis

This paper presents a large-system analysis of the performance of joint channel estimation, multiuser detection, and per-user decoding (CE-MUDD) for randomly-spread multiple-input multiple-output (MIMO) direct-sequence code-division…

Information Theory · Computer Science 2016-11-15 Keigo Takeuchi , Mikko Vehkaperae , Toshiyuki Tanaka , Ralf R. Mueller

We consider the problem of Spectrum Sensing in Cognitive Radio Systems. We have developed a distributed algorithm that the Secondary users can run to sense the channel cooperatively. It is based on sequential detection algorithms which…

Information Theory · Computer Science 2008-09-19 Vinod Sharma , ArunKumar Jayaprakasam

We investigate the coexistence of underlay spectrum sharing in cell-free massive multiple-input multiple-output (MIMO) systems. A primary system with geographically distributed primary access points (P-APs) serves a multitude of primary…

Information Theory · Computer Science 2021-04-21 Diluka Loku Galappaththige , Gayan Amarasuriya Aruma Baduge

Millimeter-wave (mm-Wave) cellular systems are a promising option for a very high data rate communication because of the large bandwidth available at mm-Wave frequencies. Due to the large path-loss exponent in the mm-Wave range of the…

Information Theory · Computer Science 2015-11-06 Saeid Haghighatshoar , Giuseppe Caire

The focus of this paper is on multi-user MIMO transmissions for millimeter wave systems with a hybrid precoding architecture at the base-station. To enable multi-user transmissions, the base-station uses a cell-specific codebook of…

Information Theory · Computer Science 2018-07-04 Miguel R. Castellanos , Vasanthan Raghavan , Jung H. Ryu , Ozge H. Koymen , Junyi Li , David J. Love , Borja Peleato

Cell-free Massive MIMO (multiple-input multiple-output) refers to a distributed Massive MIMO system where all the access points (APs) cooperate to coherently serve all the user equipments (UEs), suppress inter-cell interference and mitigate…

Information Theory · Computer Science 2019-09-09 Giovanni Interdonato , Hien Quoc Ngo , Pål Frenger , Erik G. Larsson

Energy detector (ED) is a popular choice for distributed cooperative spectrum sensing because it does not need to be cognizant of the primary user (PU) signal characteristics. However, the conventional ED-based sensing usually requires…

Systems and Control · Electrical Eng. & Systems 2024-09-23 Mohammed Rashid , Jeffrey A. Nanzer

We propose a generalized feedback model and compressive sensing based opportunistic feedback schemes for feedback resource reduction in MIMO Broadcast Channels under the assumption that both uplink and downlink channels undergo block…

Information Theory · Computer Science 2016-11-18 Syed T. Qaseem , Tareq Y. Al-Naffouri

This paper investigates the problem of estimating sparse channels in massive MIMO systems. Most wireless channels are sparse with large delay spread, while some channels can be observed having sparse common support (SCS) within a certain…

Information Theory · Computer Science 2017-04-24 Zhengdao Yuan , Chuanzong Zhang , Zhongyong Wang , Qinghua Guo

In the conventional multiuser MIMO systems, user selection and scheduling has previously been used as an effective way to increase the sum rate performance of the system. However, the recent concepts of the massive MIMO systems (at…

Information Theory · Computer Science 2016-11-29 Waqas Ahmad , Geamel Alyami , Ivica Kostanic

This paper examines the performance of decision feedback based iterative channel estimation and multiuser detection in channel coded aperiodic DS-CDMA systems operating over multipath fading channels. First, explicit expressions describing…

Information Theory · Computer Science 2009-11-11 Husheng Li , Sharon M. Betz , H. Vincent Poor

This manuscript has been submitted to Transactions on Communications on September 7, 2017; revised on January 10, 2018 and March 27, 2018; and accepted on April 25, 2018 We propose a novel filter-type equalizer to improve the solution of…

Signal Processing · Electrical Eng. & Systems 2018-12-24 Irene Santos , Juan José Murillo-Fuentes , Eva Arias-de-Reyna , Pablo M. Olmos

Non-Hermitian optics has revealed a series of counterintuitive phenomena with profound implications for sensing, lasing, and light manipulation. While the non-Hermiticity of Hamitonians is well-recognized, recent advancements in…

Optics · Physics 2024-04-19 Jipeng Xu , Yuanhao Mao , Jianfa Zhang , Biao Yang , Ken Liu , Zhihong Zhu

We propose an efficient nonparametric strategy for learning a message operator in expectation propagation (EP), which takes as input the set of incoming messages to a factor node, and produces an outgoing message as output. This learned…

A great amount of endeavor has recently been devoted to activity detection for massive machine-type communications in cell-free multiple-input multiple-output (MIMO) systems. However, as the number of antennas at the access points (APs)…

Signal Processing · Electrical Eng. & Systems 2026-05-27 Jingreng Lei , Yang Li , Ziyue Wang , Qingfeng Lin , Ya-Feng Liu , Yik-Chung Wu
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