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相关论文: On the Optimality of Gaussian Code-books for Signa…

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We determine the rate region of the Gaussian scalar-help-vector source-coding problem under a covariance matrix distortion constraint. The rate region is achieved by a Gaussian achievable scheme. We introduce a novel outer bounding…

信息论 · 计算机科学 2010-01-27 Md Saifur Rahman , Aaron B. Wagner

In this paper, we study the achievable performance of dirty paper coding for the Gaussian broadcast channel (BC) with finite blocklength and we propose two different achievability bounds for this problem. We present the broadcast adaptation…

信息论 · 计算机科学 2026-02-20 Ayşe Ünsal , Jean-Marie Gorce

In this paper, we consider a two-user multiple access fading channel under quality-of-service (QoS) constraints. We initially formulate the transmission rates for both transmitters, where the transmitters have arbitrarily distributed input…

信息论 · 计算机科学 2016-08-08 Marwan Hammouda , Sami Akin , Jürgen Peissig

This work proposes a novel outer bound for the Gaussian cognitive interference channel in strong interference at the primary receiver based on the capacity of a multi-antenna broadcast channel with degraded message set. It then shows that…

信息论 · 计算机科学 2015-03-19 Stefano Rini , Daniela Tuninetti , Natasha Devroye

Interference limits performance in wireless networks, and cooperation among receivers or transmitters can help mitigate interference by forming distributed MIMO systems. Earlier work shows how limited receiver cooperation helps mitigate…

信息论 · 计算机科学 2010-05-03 I-Hsiang Wang , David N. C. Tse

The capacity region of the 2-user multi-input multi-output (MIMO) Gaussian interference channel (IC) is characterized to within a constant gap that is independent of the channel matrices for the general case of the MIMO IC with an arbitrary…

信息论 · 计算机科学 2015-03-18 Sanjay Karmakar , Mahesh K. Varanasi

This paper considers an unlicensed multiple-access channel (MAC) that coexists with a licensed point-to-point user, following the underlay cognitive radio paradigm. We assume that every transceiver except the secondary base station has one…

信息论 · 计算机科学 2018-11-09 Christian Lameiro , Ignacio Santamaria , Peter J. Schreier

This paper studies a two-user state-dependent Gaussian multiple-access channel (MAC) with state noncausally known at one encoder. Two scenarios are considered: i) each user wishes to communicate an independent message to the common…

信息论 · 计算机科学 2017-05-05 Wei Yang , Yingbin Liang , Shlomo Shamai , H. Vincent Poor

Sparse code multiple access (SCMA) is a promising multiuser communication technique for the enabling of future massive machine-type networks. Unlike existing codebook design schemes assuming uniform power allocation, we present a novel…

信息论 · 计算机科学 2021-10-11 Xudong Li , Zhicheng Gao , Yiming Gui , Zilong Liu , Pei Xiao , Lisu Yu

The problem of three-user multiple-access channel (MAC) with noiseless feedback is investigated. A new coding strategy is presented. The coding scheme builds upon the natural extension of the Cover-Leung (CL) scheme; and uses quasi-linear…

信息论 · 计算机科学 2017-02-21 Mohsen Heidari , Farhad Shirani , S. Sandeep Pradhan

We consider the joint source-channel coding problem of sending a Gaussian source on a K-user Gaussian broadcast channel with bandwidth mismatch. A new outer bound to the achievable distortion region is derived using the technique of…

信息论 · 计算机科学 2010-11-22 Chao Tian , Suhas Diggavi , Shlomo Shamai

A $K$-user secure Gaussian Multiple-Access-Channel (MAC) with an external eavesdropper is considered in this paper. An achievable rate region is established for the secure discrete memoryless MAC. The secrecy sum capacity of the degraded…

信息论 · 计算机科学 2010-03-04 Ghadamali Bagherikaram , Abolfazl S. Motahari , Amir K. Khandani

We study a special class of the cognitive radio channel in which the receiver of the cognitive pair does not suffer interference from the primary user. Previously developed general encoding schemes for this channel are complex as they…

信息论 · 计算机科学 2010-09-22 Jinhua Jiang , Ivana Maric , Andrea Goldsmith , Shlomo Shamai , Shuguang Cui

In this paper, capacity bounds for the two-user Interference Channel (IC) with cooperative receivers via conferencing links of finite capacities is investigated. The capacity results known for this communication scenario are limited to a…

信息论 · 计算机科学 2015-12-17 Reza K. Farsani , Amir K. Khandani

It is of fundamental importance to find algorithms obtaining optimal performance for learning of statistical models in distributed and communication limited systems. Aiming at characterizing the optimal strategies, we consider learning of…

It is shown that in the K-user interference channel, if for each user the desired signal strength is no less than the sum of the strengths of the strongest interference from this user and the strongest interference to this user (all values…

信息论 · 计算机科学 2013-05-21 Chunhua Geng , Navid Naderializadeh , A. Salman Avestimehr , Syed A. Jafar

We consider the 3-user Gaussian interference channel and provide an outer bound on its capacity region. Under some conditions, which we call the mixed strong-very strong interference conditions, this outer bound is achievable. These…

信息论 · 计算机科学 2010-10-26 Anas Chaaban , Aydin Sezgin

We consider a peak-power-limited single-antenna block-stationary Gaussian fading channel where neither the transmitter nor the receiver knows the channel state information, but both know the channel statistics. This model subsumes most…

信息论 · 计算机科学 2016-11-17 Jun Chen , Venugopal V. Veeravalli

We revisit the Gaussian broadcast channel (GBC) and explore the rate region achieved by purely discrete inputs with treating interference as noise (TIN) decoding. Specifically, we introduce a simple scheme based on superposition coding with…

信息论 · 计算机科学 2026-04-07 Yujie Shao , Min Qiu

The capacity of multiple-input multiple-output additive white Gaussian noise channels is investigated under peak amplitude constraints on the norm of the input vector. New insights on the capacity-achieving input distribution are presented.…

信息论 · 计算机科学 2021-05-06 Antonino Favano , Marco Ferrari , Maurizio Magarini , Luca Barletta
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