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Communications and Networking

Q-GADMM: Quantized Group ADMM for Communication Efficient Decentralized Machine Learning


In this paper, we propose a communication-efficient decentralized machine learning (ML) algorithm, coined quantized group ADMM (Q-GADMM). Every worker in Q-GADMM communicates only with two neighbors, and updates its model via the group alternating direct method of multiplier (GADMM), thereby ensuring fast convergence while reducing the number of communication rounds. Furthermore, each worker quantizes its model updates before transmissions, thereby decreasing the communication payload sizes.

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Authors:
Anis Elgabli, Jihong Park, Amrit Bedi, Mehdi Bennis, Vaneet Aggarwal
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21 May 2020 - 3:34pm
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[1] Anis Elgabli, Jihong Park, Amrit Bedi, Mehdi Bennis, Vaneet Aggarwal, "Q-GADMM: Quantized Group ADMM for Communication Efficient Decentralized Machine Learning", IEEE SigPort, 2020. [Online]. Available: http://sigport.org/5428. Accessed: Oct. 26, 2020.
@article{5428-20,
url = {http://sigport.org/5428},
author = {Anis Elgabli; Jihong Park; Amrit Bedi; Mehdi Bennis; Vaneet Aggarwal },
publisher = {IEEE SigPort},
title = {Q-GADMM: Quantized Group ADMM for Communication Efficient Decentralized Machine Learning},
year = {2020} }
TY - EJOUR
T1 - Q-GADMM: Quantized Group ADMM for Communication Efficient Decentralized Machine Learning
AU - Anis Elgabli; Jihong Park; Amrit Bedi; Mehdi Bennis; Vaneet Aggarwal
PY - 2020
PB - IEEE SigPort
UR - http://sigport.org/5428
ER -
Anis Elgabli, Jihong Park, Amrit Bedi, Mehdi Bennis, Vaneet Aggarwal. (2020). Q-GADMM: Quantized Group ADMM for Communication Efficient Decentralized Machine Learning. IEEE SigPort. http://sigport.org/5428
Anis Elgabli, Jihong Park, Amrit Bedi, Mehdi Bennis, Vaneet Aggarwal, 2020. Q-GADMM: Quantized Group ADMM for Communication Efficient Decentralized Machine Learning. Available at: http://sigport.org/5428.
Anis Elgabli, Jihong Park, Amrit Bedi, Mehdi Bennis, Vaneet Aggarwal. (2020). "Q-GADMM: Quantized Group ADMM for Communication Efficient Decentralized Machine Learning." Web.
1. Anis Elgabli, Jihong Park, Amrit Bedi, Mehdi Bennis, Vaneet Aggarwal. Q-GADMM: Quantized Group ADMM for Communication Efficient Decentralized Machine Learning [Internet]. IEEE SigPort; 2020. Available from : http://sigport.org/5428

Sparse Beamspace Equalization for Massive MU-MIMO mmWave Systems

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Authors:
S. H. Mirfarshbafan and C. Studer
Submitted On:
15 May 2020 - 6:23am
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[1] S. H. Mirfarshbafan and C. Studer, "Sparse Beamspace Equalization for Massive MU-MIMO mmWave Systems", IEEE SigPort, 2020. [Online]. Available: http://sigport.org/5346. Accessed: Oct. 26, 2020.
@article{5346-20,
url = {http://sigport.org/5346},
author = {S. H. Mirfarshbafan and C. Studer },
publisher = {IEEE SigPort},
title = {Sparse Beamspace Equalization for Massive MU-MIMO mmWave Systems},
year = {2020} }
TY - EJOUR
T1 - Sparse Beamspace Equalization for Massive MU-MIMO mmWave Systems
AU - S. H. Mirfarshbafan and C. Studer
PY - 2020
PB - IEEE SigPort
UR - http://sigport.org/5346
ER -
S. H. Mirfarshbafan and C. Studer. (2020). Sparse Beamspace Equalization for Massive MU-MIMO mmWave Systems. IEEE SigPort. http://sigport.org/5346
S. H. Mirfarshbafan and C. Studer, 2020. Sparse Beamspace Equalization for Massive MU-MIMO mmWave Systems. Available at: http://sigport.org/5346.
S. H. Mirfarshbafan and C. Studer. (2020). "Sparse Beamspace Equalization for Massive MU-MIMO mmWave Systems." Web.
1. S. H. Mirfarshbafan and C. Studer. Sparse Beamspace Equalization for Massive MU-MIMO mmWave Systems [Internet]. IEEE SigPort; 2020. Available from : http://sigport.org/5346

Allocation of Computing Tasks in Distributed MEC Servers Co-Powered by Renewable Sources and the Power Grid

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Authors:
Davide Cecchinato, Michele Berno, Flavio Esposito, Michele Rossi
Submitted On:
14 May 2020 - 11:39am
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[1] Davide Cecchinato, Michele Berno, Flavio Esposito, Michele Rossi, "Allocation of Computing Tasks in Distributed MEC Servers Co-Powered by Renewable Sources and the Power Grid", IEEE SigPort, 2020. [Online]. Available: http://sigport.org/5308. Accessed: Oct. 26, 2020.
@article{5308-20,
url = {http://sigport.org/5308},
author = {Davide Cecchinato; Michele Berno; Flavio Esposito; Michele Rossi },
publisher = {IEEE SigPort},
title = {Allocation of Computing Tasks in Distributed MEC Servers Co-Powered by Renewable Sources and the Power Grid},
year = {2020} }
TY - EJOUR
T1 - Allocation of Computing Tasks in Distributed MEC Servers Co-Powered by Renewable Sources and the Power Grid
AU - Davide Cecchinato; Michele Berno; Flavio Esposito; Michele Rossi
PY - 2020
PB - IEEE SigPort
UR - http://sigport.org/5308
ER -
Davide Cecchinato, Michele Berno, Flavio Esposito, Michele Rossi. (2020). Allocation of Computing Tasks in Distributed MEC Servers Co-Powered by Renewable Sources and the Power Grid. IEEE SigPort. http://sigport.org/5308
Davide Cecchinato, Michele Berno, Flavio Esposito, Michele Rossi, 2020. Allocation of Computing Tasks in Distributed MEC Servers Co-Powered by Renewable Sources and the Power Grid. Available at: http://sigport.org/5308.
Davide Cecchinato, Michele Berno, Flavio Esposito, Michele Rossi. (2020). "Allocation of Computing Tasks in Distributed MEC Servers Co-Powered by Renewable Sources and the Power Grid." Web.
1. Davide Cecchinato, Michele Berno, Flavio Esposito, Michele Rossi. Allocation of Computing Tasks in Distributed MEC Servers Co-Powered by Renewable Sources and the Power Grid [Internet]. IEEE SigPort; 2020. Available from : http://sigport.org/5308

ON THROUGHPUT OF MILLIMETER WAVE MIMO SYSTEMS WITH LOW RESOLUTION ADCS


Use of low resolution analog to digital converters (ADCs) is an effective way to reduce the high power consumption of millimeter wave (mmWave) receivers. In this paper, a receiver with low resolution ADCs based on adaptive thresholds is considered in downlink mmWave communications in which the channel state information is not known a-priori and acquired through channel estimation. A performance comparison of low-complexity algorithms for power and ADC allocation among transmit and receive terminals, respectively, is provided.

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Authors:
Abbas Khalili, Shahram Shahsavari, Farhad Shirani, Elza Erkip , Yonina C. Eldar
Submitted On:
24 June 2020 - 9:20pm
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[1] Abbas Khalili, Shahram Shahsavari, Farhad Shirani, Elza Erkip , Yonina C. Eldar, "ON THROUGHPUT OF MILLIMETER WAVE MIMO SYSTEMS WITH LOW RESOLUTION ADCS", IEEE SigPort, 2020. [Online]. Available: http://sigport.org/5183. Accessed: Oct. 26, 2020.
@article{5183-20,
url = {http://sigport.org/5183},
author = {Abbas Khalili; Shahram Shahsavari; Farhad Shirani; Elza Erkip ; Yonina C. Eldar },
publisher = {IEEE SigPort},
title = {ON THROUGHPUT OF MILLIMETER WAVE MIMO SYSTEMS WITH LOW RESOLUTION ADCS},
year = {2020} }
TY - EJOUR
T1 - ON THROUGHPUT OF MILLIMETER WAVE MIMO SYSTEMS WITH LOW RESOLUTION ADCS
AU - Abbas Khalili; Shahram Shahsavari; Farhad Shirani; Elza Erkip ; Yonina C. Eldar
PY - 2020
PB - IEEE SigPort
UR - http://sigport.org/5183
ER -
Abbas Khalili, Shahram Shahsavari, Farhad Shirani, Elza Erkip , Yonina C. Eldar. (2020). ON THROUGHPUT OF MILLIMETER WAVE MIMO SYSTEMS WITH LOW RESOLUTION ADCS. IEEE SigPort. http://sigport.org/5183
Abbas Khalili, Shahram Shahsavari, Farhad Shirani, Elza Erkip , Yonina C. Eldar, 2020. ON THROUGHPUT OF MILLIMETER WAVE MIMO SYSTEMS WITH LOW RESOLUTION ADCS. Available at: http://sigport.org/5183.
Abbas Khalili, Shahram Shahsavari, Farhad Shirani, Elza Erkip , Yonina C. Eldar. (2020). "ON THROUGHPUT OF MILLIMETER WAVE MIMO SYSTEMS WITH LOW RESOLUTION ADCS." Web.
1. Abbas Khalili, Shahram Shahsavari, Farhad Shirani, Elza Erkip , Yonina C. Eldar. ON THROUGHPUT OF MILLIMETER WAVE MIMO SYSTEMS WITH LOW RESOLUTION ADCS [Internet]. IEEE SigPort; 2020. Available from : http://sigport.org/5183

SIMPLIFIED DYNAMIC SC-FLIP POLAR DECODING


SC-Flip (SCF) decoding is a low-complexity polar code decoding algorithm alternative to SC-List (SCL) algorithm with small list sizes. To achieve the performance of the SCL algorithm with large list sizes, the Dynamic SC-Flip (DSCF) algorithm was proposed. However, DSCF involves logarithmic and exponential computations that are not suitable for practical hardware implementations. In this work, we propose a simple approximation that replaces the transcendental computations of DSCF decoding. Moreover, we show how to incorporate fast decoding techniques with the DSCF algorithm.

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Authors:
Furkan Ercan, Thibaud Tonnellier, Nghia Doan, Warren J. Gross
Submitted On:
13 May 2020 - 8:23pm
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[1] Furkan Ercan, Thibaud Tonnellier, Nghia Doan, Warren J. Gross, "SIMPLIFIED DYNAMIC SC-FLIP POLAR DECODING", IEEE SigPort, 2020. [Online]. Available: http://sigport.org/5167. Accessed: Oct. 26, 2020.
@article{5167-20,
url = {http://sigport.org/5167},
author = {Furkan Ercan; Thibaud Tonnellier; Nghia Doan; Warren J. Gross },
publisher = {IEEE SigPort},
title = {SIMPLIFIED DYNAMIC SC-FLIP POLAR DECODING},
year = {2020} }
TY - EJOUR
T1 - SIMPLIFIED DYNAMIC SC-FLIP POLAR DECODING
AU - Furkan Ercan; Thibaud Tonnellier; Nghia Doan; Warren J. Gross
PY - 2020
PB - IEEE SigPort
UR - http://sigport.org/5167
ER -
Furkan Ercan, Thibaud Tonnellier, Nghia Doan, Warren J. Gross. (2020). SIMPLIFIED DYNAMIC SC-FLIP POLAR DECODING. IEEE SigPort. http://sigport.org/5167
Furkan Ercan, Thibaud Tonnellier, Nghia Doan, Warren J. Gross, 2020. SIMPLIFIED DYNAMIC SC-FLIP POLAR DECODING. Available at: http://sigport.org/5167.
Furkan Ercan, Thibaud Tonnellier, Nghia Doan, Warren J. Gross. (2020). "SIMPLIFIED DYNAMIC SC-FLIP POLAR DECODING." Web.
1. Furkan Ercan, Thibaud Tonnellier, Nghia Doan, Warren J. Gross. SIMPLIFIED DYNAMIC SC-FLIP POLAR DECODING [Internet]. IEEE SigPort; 2020. Available from : http://sigport.org/5167

Decode-efficient prefix codes for hierarchical memory models


The cost of uncompressing (decoding) data can be prohibitive in certain real-time applications,
for example when predicting using compressed deep learning models. In many scenarios, it is
acceptable to sacrifice to some extent on compression in the interest of fast decoding. In this
work, we are interested in finding the prefix tree having the best decode time under the constraint
that the code length does not exceed a certain threshold for a natural class of algorithms under

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Authors:
Shashwat Banchhor , Rishikesh R. Gajjala , Yogish Sabharwal , and Sandeep Sen∗
Submitted On:
31 March 2020 - 11:39am
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[1] Shashwat Banchhor , Rishikesh R. Gajjala , Yogish Sabharwal , and Sandeep Sen∗, "Decode-efficient prefix codes for hierarchical memory models", IEEE SigPort, 2020. [Online]. Available: http://sigport.org/5050. Accessed: Oct. 26, 2020.
@article{5050-20,
url = {http://sigport.org/5050},
author = {Shashwat Banchhor ; Rishikesh R. Gajjala ; Yogish Sabharwal ; and Sandeep Sen∗ },
publisher = {IEEE SigPort},
title = {Decode-efficient prefix codes for hierarchical memory models},
year = {2020} }
TY - EJOUR
T1 - Decode-efficient prefix codes for hierarchical memory models
AU - Shashwat Banchhor ; Rishikesh R. Gajjala ; Yogish Sabharwal ; and Sandeep Sen∗
PY - 2020
PB - IEEE SigPort
UR - http://sigport.org/5050
ER -
Shashwat Banchhor , Rishikesh R. Gajjala , Yogish Sabharwal , and Sandeep Sen∗. (2020). Decode-efficient prefix codes for hierarchical memory models. IEEE SigPort. http://sigport.org/5050
Shashwat Banchhor , Rishikesh R. Gajjala , Yogish Sabharwal , and Sandeep Sen∗, 2020. Decode-efficient prefix codes for hierarchical memory models. Available at: http://sigport.org/5050.
Shashwat Banchhor , Rishikesh R. Gajjala , Yogish Sabharwal , and Sandeep Sen∗. (2020). "Decode-efficient prefix codes for hierarchical memory models." Web.
1. Shashwat Banchhor , Rishikesh R. Gajjala , Yogish Sabharwal , and Sandeep Sen∗. Decode-efficient prefix codes for hierarchical memory models [Internet]. IEEE SigPort; 2020. Available from : http://sigport.org/5050

Functional Epsilon Entropy


We consider the problem of coding for computing with maximal distortion, where the sender communicates with a receiver, which has its own private data and wants to compute a function of their combined data with some fidelity constraint known to both agents. We show that the minimum rate for this problem is equal to the conditional entropy of a hypergraph and design practical codes for the problem. Further, the minimum rate of this problem may be a discontinuous function of the fidelity constraint.

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Authors:
Sourya Basu, Daewon Seo, Lav Varshney
Submitted On:
20 March 2020 - 12:58am
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[1] Sourya Basu, Daewon Seo, Lav Varshney, "Functional Epsilon Entropy", IEEE SigPort, 2020. [Online]. Available: http://sigport.org/5008. Accessed: Oct. 26, 2020.
@article{5008-20,
url = {http://sigport.org/5008},
author = {Sourya Basu; Daewon Seo; Lav Varshney },
publisher = {IEEE SigPort},
title = {Functional Epsilon Entropy},
year = {2020} }
TY - EJOUR
T1 - Functional Epsilon Entropy
AU - Sourya Basu; Daewon Seo; Lav Varshney
PY - 2020
PB - IEEE SigPort
UR - http://sigport.org/5008
ER -
Sourya Basu, Daewon Seo, Lav Varshney. (2020). Functional Epsilon Entropy. IEEE SigPort. http://sigport.org/5008
Sourya Basu, Daewon Seo, Lav Varshney, 2020. Functional Epsilon Entropy. Available at: http://sigport.org/5008.
Sourya Basu, Daewon Seo, Lav Varshney. (2020). "Functional Epsilon Entropy." Web.
1. Sourya Basu, Daewon Seo, Lav Varshney. Functional Epsilon Entropy [Internet]. IEEE SigPort; 2020. Available from : http://sigport.org/5008

Depth-First Decoding of Distributed Arithmetic Codes for Uniform Binary Sources


This paper designs a Distributed Arithmetic Coding (DAC) decoder using the depth- first search method. In addition, a method is proposed to control the decoder complexity. Simulation results compare the DFD with the traditional Breadth-First Decoder (BFD)
showing that under the same complexity constraints, the DFD outperforms the BFD when the code length is not too long and the quality of side information is not too poor.

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Authors:
Yong Fang, Vladimir Stankovic, Samuel Cheng, En-hui Yang
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18 March 2020 - 8:22pm
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[1] Yong Fang, Vladimir Stankovic, Samuel Cheng, En-hui Yang, "Depth-First Decoding of Distributed Arithmetic Codes for Uniform Binary Sources", IEEE SigPort, 2020. [Online]. Available: http://sigport.org/5000. Accessed: Oct. 26, 2020.
@article{5000-20,
url = {http://sigport.org/5000},
author = {Yong Fang; Vladimir Stankovic; Samuel Cheng; En-hui Yang },
publisher = {IEEE SigPort},
title = {Depth-First Decoding of Distributed Arithmetic Codes for Uniform Binary Sources},
year = {2020} }
TY - EJOUR
T1 - Depth-First Decoding of Distributed Arithmetic Codes for Uniform Binary Sources
AU - Yong Fang; Vladimir Stankovic; Samuel Cheng; En-hui Yang
PY - 2020
PB - IEEE SigPort
UR - http://sigport.org/5000
ER -
Yong Fang, Vladimir Stankovic, Samuel Cheng, En-hui Yang. (2020). Depth-First Decoding of Distributed Arithmetic Codes for Uniform Binary Sources. IEEE SigPort. http://sigport.org/5000
Yong Fang, Vladimir Stankovic, Samuel Cheng, En-hui Yang, 2020. Depth-First Decoding of Distributed Arithmetic Codes for Uniform Binary Sources. Available at: http://sigport.org/5000.
Yong Fang, Vladimir Stankovic, Samuel Cheng, En-hui Yang. (2020). "Depth-First Decoding of Distributed Arithmetic Codes for Uniform Binary Sources." Web.
1. Yong Fang, Vladimir Stankovic, Samuel Cheng, En-hui Yang. Depth-First Decoding of Distributed Arithmetic Codes for Uniform Binary Sources [Internet]. IEEE SigPort; 2020. Available from : http://sigport.org/5000

Single RF Chain Hybrid Analog/Digital Beamforming for mmWave Massive-MIMO


Hybrid beamforming has attracted considerable attention in recent years as an efficient and promising technique for the practical implementation of millimeter-Wave (mmWave) massive multiple-input multiple-output (MIMO) wireless systems. In this paper, we investigate hybrid analog/digital beamforming designs based on a single RF chain architecture (SRCA) for mmWave massive-MIMO. We first revisit the SRCA and then explore its shortcomings.

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Authors:
Alireza Morsali, Sara Norouzi, and Benoit Champagne
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12 November 2019 - 11:07pm
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[1] Alireza Morsali, Sara Norouzi, and Benoit Champagne, "Single RF Chain Hybrid Analog/Digital Beamforming for mmWave Massive-MIMO", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4953. Accessed: Oct. 26, 2020.
@article{4953-19,
url = {http://sigport.org/4953},
author = {Alireza Morsali; Sara Norouzi; and Benoit Champagne },
publisher = {IEEE SigPort},
title = {Single RF Chain Hybrid Analog/Digital Beamforming for mmWave Massive-MIMO},
year = {2019} }
TY - EJOUR
T1 - Single RF Chain Hybrid Analog/Digital Beamforming for mmWave Massive-MIMO
AU - Alireza Morsali; Sara Norouzi; and Benoit Champagne
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4953
ER -
Alireza Morsali, Sara Norouzi, and Benoit Champagne. (2019). Single RF Chain Hybrid Analog/Digital Beamforming for mmWave Massive-MIMO. IEEE SigPort. http://sigport.org/4953
Alireza Morsali, Sara Norouzi, and Benoit Champagne, 2019. Single RF Chain Hybrid Analog/Digital Beamforming for mmWave Massive-MIMO. Available at: http://sigport.org/4953.
Alireza Morsali, Sara Norouzi, and Benoit Champagne. (2019). "Single RF Chain Hybrid Analog/Digital Beamforming for mmWave Massive-MIMO." Web.
1. Alireza Morsali, Sara Norouzi, and Benoit Champagne. Single RF Chain Hybrid Analog/Digital Beamforming for mmWave Massive-MIMO [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4953

Ambient OFDM Pilot-Aided Delay-Shift Keying and Its Efficient Detection for Ultra Low-Power Communications

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Authors:
Ryuhei Takahashi, Koji Ishibashi
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8 November 2019 - 11:47am
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[1] Ryuhei Takahashi, Koji Ishibashi, "Ambient OFDM Pilot-Aided Delay-Shift Keying and Its Efficient Detection for Ultra Low-Power Communications", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4932. Accessed: Oct. 26, 2020.
@article{4932-19,
url = {http://sigport.org/4932},
author = {Ryuhei Takahashi; Koji Ishibashi },
publisher = {IEEE SigPort},
title = {Ambient OFDM Pilot-Aided Delay-Shift Keying and Its Efficient Detection for Ultra Low-Power Communications},
year = {2019} }
TY - EJOUR
T1 - Ambient OFDM Pilot-Aided Delay-Shift Keying and Its Efficient Detection for Ultra Low-Power Communications
AU - Ryuhei Takahashi; Koji Ishibashi
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4932
ER -
Ryuhei Takahashi, Koji Ishibashi. (2019). Ambient OFDM Pilot-Aided Delay-Shift Keying and Its Efficient Detection for Ultra Low-Power Communications. IEEE SigPort. http://sigport.org/4932
Ryuhei Takahashi, Koji Ishibashi, 2019. Ambient OFDM Pilot-Aided Delay-Shift Keying and Its Efficient Detection for Ultra Low-Power Communications. Available at: http://sigport.org/4932.
Ryuhei Takahashi, Koji Ishibashi. (2019). "Ambient OFDM Pilot-Aided Delay-Shift Keying and Its Efficient Detection for Ultra Low-Power Communications." Web.
1. Ryuhei Takahashi, Koji Ishibashi. Ambient OFDM Pilot-Aided Delay-Shift Keying and Its Efficient Detection for Ultra Low-Power Communications [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4932

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