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相关论文: A Large-System Analysis of the Imperfect-CSIT Gaus…

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For information transmission a discrete time channel with independent additive Gaussian noise is used. There is also feedback channel with independent additive Gaussian noise, and the transmitter observes without delay all outputs of the…

信息论 · 计算机科学 2012-08-15 M. V. Burnashev , H. Yamamoto

In this paper, we develop achievability schemes for symmetric $K$-user interference channels with a rate-limited feedback from each receiver to the corresponding transmitter. We study this problem under two different channel models: the…

信息论 · 计算机科学 2017-08-04 Mehdi Ashraphijuo , Vaneet Aggarwal , Xiaodong Wang

In this paper, we present the cognitive radio system design with partial channel state information known at the transmitter (CSIT).We replace the dirty paper coding (DPC) used in the cognitive radio with full CSIT by the linear assignment…

信息论 · 计算机科学 2010-11-15 Pin-Hsun Lin , Shih-Chun Lin , Chung-Pi Lee , Hsuan-Jung Su

This paper investigates downlink transmission over a quasi-static fading Gaussian broadcast channel (BC), to model delay-sensitive applications over slowly time-varying fading channels. System performance is characterized by outage…

信息论 · 计算机科学 2007-11-13 Wenyi Zhang , Shivaprasad Kotagiri , J. Nicholas Laneman

The state-dependent $K$-user memoryless Broadcast Channel~(BC) with state feedback is investigated. We propose a novel transmission scheme and derive its corresponding achievable rate region, which, compared to some general schemes that…

信息论 · 计算机科学 2017-05-16 Chao He , Sheng Yang , Pablo Piantanida

Imperfect Channel State Information at the Transmitter (CSIT) is inevitable in modern wireless communication networks, and results in severe multi-user interference in multi-antenna Broadcast Channel (BC). While the capacity of the…

信息论 · 计算机科学 2020-08-05 Yijie Mao , Bruno Clerckx

In this paper, two-user Gaussian interference channel(GIC) is revisited with the objective of developing implementable (explicit) channel codes. Specifically, low density parity check (LDPC) codes are adopted for use over these channels,…

信息论 · 计算机科学 2013-11-01 Shahrouz Sharifi , Tolga M. Duman

In wireless data networks, communication is particularly susceptible to eavesdropping due to its broadcast nature. Security and privacy systems have become critical for wireless providers and enterprise networks. This paper considers the…

信息论 · 计算机科学 2008-04-29 Ruoheng Liu , H. Vincent Poor

For information transmission a discrete time channel with independent additive Gaussian noise is used. There is also another channel with independent additive Gaussian noise (the feedback channel), and the transmitter observes without delay…

信息论 · 计算机科学 2015-01-21 Marat V. Burnashev , Hirosuke Yamamoto

For the information transmission a binary symmetric channel is used. There is also another noisy binary symmetric channel (feedback channel), and the transmitter observes without delay all the outputs of the forward channel via that…

信息论 · 计算机科学 2008-08-18 Marat V. Burnashev , Hirosuke Yamamoto

In this paper, we consider a general K-user Gaussian multiple-input multiple-output (MIMO) broadcast channel (BC). We assume that the channel state is deterministic and known to all the nodes. While the private-message capacity region is…

信息论 · 计算机科学 2021-04-29 Zheng Li , Sheng Yang , Shlomo Shamai

The dirty paper channel (DPC) under a peak amplitude constraint arises in an optical wireless broadcast channel (BC), where the state at one receiver is the transmitted signal intended for the other receiver(s). This paper studies a class…

信息论 · 计算机科学 2023-01-09 Zhenyu Charlus Zhang , Anas Chaaban

A Dirty Paper Coding (DPC) based transmission scheme for the Gaussian multiple-input multiple-output (MIMO) cognitive radio channel (CRC) is studied when there is imperfect and perfect channel knowledge at the transmitters (CSIT) and the…

信息论 · 计算机科学 2009-06-15 Chinmay S. Vaze , Mahesh K. Varanasi

We study the transmission of confidential messages across a wireless broadcast channel with K>2 receivers and K helpers. The goal is to transmit all messages reliably to their intended receivers while keeping them confidential from the…

信息论 · 计算机科学 2017-03-06 Parisa Babaheidarian , Somayeh Salimi , Panos Papadimitratos

This paper studies second-order coding rates for memoryless channels with a state sequence known non-causally at the encoder. In the case of finite alphabets, an achievability result is obtained using constant-composition random coding, and…

信息论 · 计算机科学 2013-11-13 Jonathan Scarlett

A coding scheme with scalar lattices is applied to K-receiver, Gaussian, vector broadcast channels with K independent messages, one for each receiver. The method decomposes each receiver channel into parallel scalar channels with known…

信息论 · 计算机科学 2024-04-25 M. Yusuf Şener , Gerhard Kramer , Shlomo Shamai , Ronald Böhnke , Wen Xu

In this paper, we study the achievable rate region of Gaussian multiuser channels with the messages transmitted being from finite input alphabets and the outputs being {\em quantized at the receiver}. In particular, we focus on the…

信息论 · 计算机科学 2011-02-15 Suresh Chandrasekaran , Saif K. Mohammed , A. Chockalingam

This paper investigates the capacity of compound state-dependent channels with non-causal state information available at only the transmitter. A new lower bound on the capacity of this class of channels is derived. This bound is shown to be…

信息论 · 计算机科学 2010-04-29 Pablo Piantanida , Shlomo Shamai

We study communication over a Gaussian multiple-access channel (MAC) with two types of transmitters: Digital transmitters hold a message from a discrete set that needs to be communicated to the receiver with vanishing error probability.…

信息论 · 计算机科学 2025-04-28 Matthias Frey , Igor Bjelaković , Michael C. Gastpar , Jingge Zhu

In this paper, we study the sum rate maximization for successive zero-forcing dirty-paper coding (SZFDPC) with per-antenna power constraint (PAPC). Although SZFDPC is a low-complexity alternative to the optimal dirty paper coding (DPC),…

信息论 · 计算机科学 2019-05-21 Thuy M. Pham , Ronan Farrell , Le-Nam Tran
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