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This article introduces a novel communication scheme, termed coded compressed sensing, for unsourced multiple-access communication. The proposed divide-and-conquer approach leverages recent advances in compressed sensing and forward error…

Signal Processing · Electrical Eng. & Systems 2019-06-26 Vamsi K. Amalladinne , Jean-Francois Chamberland , Krishna R. Narayanan

In this letter, a novel linear transmission strategy to design the linear precoding matrix~(PM) at base station~(BS) and the beamforming matrix~(BM) at relay station~(RS) for multiple-input multiple-output~(MIMO) relaying broadcast channels…

Signal Processing · Electrical Eng. & Systems 2020-04-02 Haibin Wan , Wen Chen , Jianbo Ji

The problem of bistatic integrated sensing and communications over memoryless relay channels is considered, where destination concurrently decodes the message sent by the source and estimates unknown parameters from received signals with…

Information Theory · Computer Science 2026-03-05 Yao Liu , Min Li , Lawrence Ong , Aylin Yener

The demand of massive access to the same multimedia content at the same time is one major challenge for next-generation cellular networks in densely-packed urban areas. The content-aware multicast transmission strategies provide promising…

Information Theory · Computer Science 2020-04-07 Ahmet Zahid Yalcin , Yavuz Yapici

An adaptive randomized distributed space-time coding (DSTC) scheme and algorithms are proposed for two-hop cooperative MIMO networks. Linear minimum mean square error (MMSE) receivers and an amplify-and-forward (AF) cooperation strategy are…

Information Theory · Computer Science 2013-03-19 T. Peng , R. C. de Lamare , A. Schmeink

Massive multiple-input multiple-output can obtain more performance gain by exploiting the downlink channel state information (CSI) at the base station (BS). Therefore, studying CSI feedback with limited communication resources in…

Signal Processing · Electrical Eng. & Systems 2024-10-28 Muhan Chen , Jiajia Guo , Chao-Kai Wen , Shi Jin , Geoffrey Ye Li , Ang Yang

Lattice coding techniques may be used to derive achievable rate regions which outperform known independent, identically distributed (i.i.d.) random codes in multi-source relay networks and in particular the two-way relay channel. Gains stem…

Information Theory · Computer Science 2016-11-17 Yiwei Song , Natasha Devroye , Huai-Rong Shao , Chiu Ngo

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

In this work, a relay channel is studied in which a source encoder communicates with a destination decoder through a number of out-of-band relays that are connected to the decoder through capacity-constrained digital backhaul links. This…

Information Theory · Computer Science 2013-04-16 Seok-Hwan Park , Osvaldo Simeone , Onur Sahin , Shlomo Shamai

We investigate the problem of delay-efficient and reliable data delivery in ultra-dense networks (UDNs) that constitute macro base stations (MBSs), small base stations (SBSs), and mobile users. Considering a two-hop data delivery system, we…

Information Theory · Computer Science 2020-08-27 Luyao Shang , Morteza Hashemi , Taejoon Kim , Erik Perrins

Compute-and-forward (CF) harnesses interference in a wireless networkby allowing relays to compute combinations of source messages. The computed message combinations at relays are correlated, and so directly forwarding these combinations to…

Information Theory · Computer Science 2016-01-20 Yihua Tan , Xiaojun Yuan

We present a decode-and-forward transmission scheme based on spatially-coupled low-density parity-check (SC-LDPC) codes for a network consisting of two (possibly correlated) sources, one relay, and one destination. The links between the…

Information Theory · Computer Science 2014-02-17 Stefan Schwandter , Alexandre Graell i Amat , Gerald Matz

In this paper, we demonstrate some applications of compressive sensing over networks. We make a connection between compressive sensing and traditional information theoretic techniques in source coding and channel coding. Our results provide…

Information Theory · Computer Science 2010-12-07 Soheil Feizi , Muriel Medard , Michelle Effros

We present a novel feedback protocol for wireless broadcast networks that utilize linear network coding. We consider transmission of packets from one source to many receivers over a single-hop broadcast erasure channel. Our method utilizes…

Networking and Internet Architecture · Computer Science 2015-03-19 Arman Rezaee , Linda Zeger , Muriel Médard

The acquisition of Downlink (DL) channel state information at the transmitter (CSIT) is known to be a challenging task in multiuser massive MIMO systems when uplink/downlink channel reciprocity does not hold (e.g., in frequency division…

Information Theory · Computer Science 2025-06-13 Yi Song , Tianyu Yang , Mahdi Barzegar Khalilsarai , Giuseppe Caire

Bounds on the reliability function for the discrete memoryless relay channel are derived using the method of types. Two achievable error exponents are derived based on partial decode-forward and compress-forward which are well-known…

Information Theory · Computer Science 2016-11-17 Vincent Y. F. Tan

A single-letter achievable rate region is proposed for the two-receiver discrete memoryless broadcast channel with generalized feedback. The coding strategy involves block-Markov superposition coding, using Marton's coding scheme for the…

Information Theory · Computer Science 2014-02-10 Ramji Venkataramanan , S. Sandeep Pradhan

In the field of interactive coding, two or more parties wish to carry out a distributed computation over a communication network that may be noisy. The ultimate goal is to develop efficient coding schemes that can tolerate a high level of…

Data Structures and Algorithms · Computer Science 2022-08-04 Ran Gelles , Yael T. Kalai , Govind Ramnarayan

Compute-forward is a coding technique that enables receiver(s) in a network to directly decode one or more linear combinations of the transmitted codewords. Initial efforts focused on Gaussian channels and derived achievable rate regions…

Information Theory · Computer Science 2021-10-04 Adriano Pastore , Sung Hoon Lim , Chen Feng , Bobak Nazer , Michael Gastpar

In this paper, we propose a feedback reduction scheme for full-duplex relay-aided multiuser networks. The proposed scheme permits the base station (BS) to obtain channel state information (CSI) from a subset of strong users under…

Information Theory · Computer Science 2015-05-05 Khalil M. Elkhalil , Mohammed E. Eltayeb , Abla Kammoun , Tareq Y. Al-Naffouri , Hamid Reza Bahrami
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