Complex-valued collaborative coding multiple access for fading channels

F.H. Ali; S. Soysa

doi:10.1049/ip-com:20010598

Complex-valued collaborative coding multiple access for fading channels

IEE Proceedings - Communications ◽

10.1049/ip-com:20010598 ◽

2001 ◽

Vol 148 (5) ◽

pp. 327 ◽

Cited By ~ 8

Author(s):

F.H. Ali ◽

S. Soysa

Keyword(s):

Fading Channels ◽

Multiple Access ◽

Complex Valued ◽

Collaborative Coding

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Complex-valued receiver for multiuser collaborative coding schemes

Electronics Letters ◽

10.1049/el:19950273 ◽

1995 ◽

Vol 31 (5) ◽

pp. 341-342 ◽

Cited By ~ 6

Author(s):

F.H. Ali ◽

S.A.G. Chandler ◽

S. Soysa

Keyword(s):

Coding Schemes ◽

Complex Valued ◽

Collaborative Coding

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Performance of multi-subchannel direct-sequence spread-spectrum multiple-access communications over multipath fading channels

10.1109/vetec.1988.195376 ◽

2003 ◽

Author(s):

Y.-D. Yao ◽

A.U.H. Sheikh

Keyword(s):

Fading Channels ◽

Spread Spectrum ◽

Multiple Access ◽

Multipath Fading ◽

Direct Sequence Spread Spectrum ◽

Direct Sequence ◽

Multipath Fading Channels ◽

Multiple Access Communications

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Error Probability Analysis of Non-Orthogonal Multiple Access Over Nakagami- $m$ Fading Channels

IEEE Transactions on Communications ◽

10.1109/tcomm.2018.2876867 ◽

2019 ◽

Vol 67 (2) ◽

pp. 1586-1599 ◽

Cited By ~ 32

Author(s):

Lina Bariah ◽

Sami Muhaidat ◽

Arafat Al-Dweik

Keyword(s):

Fading Channels ◽

Multiple Access ◽

Error Probability ◽

Probability Analysis

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Accelerated Gradient Descent Learning over Multiple Access Fading Channels

IEEE Journal on Selected Areas in Communications ◽

10.1109/jsac.2021.3118410 ◽

2021 ◽

pp. 1-1

Author(s):

Raz Paul ◽

Yuval Friedman ◽

Kobi Cohen

Keyword(s):

Fading Channels ◽

Multiple Access ◽

Gradient Descent ◽

Accelerated Gradient

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Improving direct sequence code division multiple access performance in frequency selective fading channels

Proceedings of the IEEE 6th Circuits and Systems Symposium on Emerging Technologies: Frontiers of Mobile and Wireless Communication (IEEE Cat. No.04EX710) ◽

10.1109/casset.2004.1322995 ◽

2004 ◽

Author(s):

C. Khirallah ◽

P. Coulton ◽

S. Mohsin ◽

J. Ruan

Keyword(s):

Fading Channels ◽

Code Division Multiple Access ◽

Multiple Access ◽

Direct Sequence ◽

Selective Fading ◽

Frequency Selective Fading ◽

Sequence Code ◽

Frequency Selective ◽

Code Division Multiple ◽

Frequency Selective Fading Channels

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Comparison of the Performance of Group Orthogonal Multi-carrier Code Division Multiple Access and Multi Carrier Code Division Multiple Access Signal in Fading Channels

Information Technology Journal ◽

10.3923/itj.2014.2291.2297 ◽

2014 ◽

Vol 13 (14) ◽

pp. 2291-2297

Author(s):

Ibrahim Awad Zamil Qata

Keyword(s):

Fading Channels ◽

Code Division Multiple Access ◽

Multiple Access ◽

Code Division Multiple

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Average Symbol Error Rate Analysis for Non-Orthogonal Multiple Access With $M$ -Ary QAM Signals in Rayleigh Fading Channels

IEEE Communications Letters ◽

10.1109/lcomm.2019.2921770 ◽

2019 ◽

Vol 23 (8) ◽

pp. 1328-1331 ◽

Cited By ~ 12

Author(s):

In-Ho Lee ◽

Jung-Bin Kim

Keyword(s):

Fading Channels ◽

Error Rate ◽

Multiple Access ◽

Rayleigh Fading ◽

Symbol Error Rate ◽

Rayleigh Fading Channels ◽

Rate Analysis ◽

Average Symbol Error Rate

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Channel Estimation and Pilot Design for Uplink Sparse Code Multiple Access System based on Complex-Valued Sparse Autoencoder

IEEE Access ◽

10.1109/access.2019.2904990 ◽

2019 ◽

pp. 1-1

Author(s):

Quan Yuan ◽

Dezhi Li ◽

Zhenyong Wang ◽

Chang Liu ◽

Ci He

Keyword(s):

Channel Estimation ◽

Multiple Access ◽

Sparse Code ◽

Access System ◽

Sparse Autoencoder ◽

Pilot Design ◽

Multiple Access System ◽

Complex Valued

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Intelligent Reflecting Surface Aided Multiple Access Over Fading Channels

IEEE Transactions on Communications ◽

10.1109/tcomm.2020.3042277 ◽

2020 ◽

pp. 1-1

Author(s):

Yiyu Guo ◽

Zhijin Qin ◽

Yuanwei Liu ◽

Naofal Al-Dhahir

Keyword(s):

Fading Channels ◽

Multiple Access ◽

Reflecting Surface

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Nearest Neighbor Decoding and Pilot-Aided Channel Estimation for Fading Channels

Entropy ◽

10.3390/e22090971 ◽

2020 ◽

Vol 22 (9) ◽

pp. 971

Author(s):

A. Taufiq Asyhari ◽

Tobias Koch ◽

Albert Guillén i Fàbregas

Keyword(s):

Channel Estimation ◽

Fading Channels ◽

Multiple Access ◽

Nearest Neighbor ◽

Signal To Noise Ratio ◽

Multiple Input Multiple Output ◽

Comparative Performance ◽

Single Output ◽

Multiple Input ◽

Flat Fading

We study the information rates of noncoherent, stationary, Gaussian, and multiple-input multiple-output (MIMO) flat-fading channels that are achievable with nearest neighbor decoding and pilot-aided channel estimation. In particular, we investigate the behavior of these achievable rates in the limit as the signal-to-noise ratio (SNR) tends to infinity by analyzing the capacity pre-log, which is defined as the limiting ratio of the capacity to the logarithm of the SNR as the SNR tends to infinity. We demonstrate that a scheme estimating the channel using pilot symbols and detecting the message using nearest neighbor decoding (while assuming that the channel estimation is perfect) essentially achieves the capacity pre-log of noncoherent multiple-input single-output flat-fading channels, and it essentially achieves the best so far known lower bound on the capacity pre-log of noncoherent MIMO flat-fading channels. Extending the analysis to fading multiple-access channels reveals interesting relationships between the number of antennas and Doppler bandwidth in the comparative performance of joint transmission and time division multiple-access.

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