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Communications and Networking

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

alireza morsali

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
Alireza Morsali, Sara Norouzi, and Benoit Champagne
Submitted On:
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: Feb. 19, 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

Ryuhei Takahashi

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Authors:
Ryuhei Takahashi
Ryuhei Takahashi, Koji Ishibashi
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8 November 2019 - 11:47am
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R.Takahashi_2019GlobalSIP.pdf

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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: Feb. 19, 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

Power Delay Profile in Coordinated Distributed Networks: User Centric v/s Disjoint Clustering

Hussein Ammar

Power delay profiles (PDPs) are an important factor in the design of wireless networks, e.g., in choosing the length of a cyclic prefix. While distributed networks are receiving increasing attention, the impact of cooperation on the PDP has not been addressed. We address this issue in this paper. Specifically, we analyze a network where each user is served by a cluster of Remote Radio Heads (RRHs) with RRH locations modeled as a Poisson point process.

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Authors:
Hussein Ammar
Raviraj Adve
Submitted On:
13 November 2019 - 11:43am
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Presentation material for IEEE GlobalSIP2019

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[1] Raviraj Adve, "Power Delay Profile in Coordinated Distributed Networks: User Centric v/s Disjoint Clustering", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4909. Accessed: Feb. 19, 2020.
@article{4909-19,
url = {http://sigport.org/4909},
author = {Raviraj Adve },
publisher = {IEEE SigPort},
title = {Power Delay Profile in Coordinated Distributed Networks: User Centric v/s Disjoint Clustering},
year = {2019} }
TY - EJOUR
T1 - Power Delay Profile in Coordinated Distributed Networks: User Centric v/s Disjoint Clustering
AU - Raviraj Adve
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4909
ER -
Raviraj Adve. (2019). Power Delay Profile in Coordinated Distributed Networks: User Centric v/s Disjoint Clustering. IEEE SigPort. http://sigport.org/4909
Raviraj Adve, 2019. Power Delay Profile in Coordinated Distributed Networks: User Centric v/s Disjoint Clustering. Available at: http://sigport.org/4909.
Raviraj Adve. (2019). "Power Delay Profile in Coordinated Distributed Networks: User Centric v/s Disjoint Clustering." Web.
1. Raviraj Adve. Power Delay Profile in Coordinated Distributed Networks: User Centric v/s Disjoint Clustering [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4909

Data Driven QoE-QoS Association Modeling of Conversational Video

HongCheng GU

In recent years, the variety and volume of multimedia services have increased exponentially. Like most of other multimedia services, the conversational video service has stringent quality of service and experience requirements. In order to better support users QoE (Quality of Experience) and allocate network resources more effectively, this paper focuses on the QoS (Quality of Service)-QoE association modeling of conversational video flows.

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Authors:
HongCheng GU
Submitted On:
29 October 2019 - 11:08pm
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[1] , "Data Driven QoE-QoS Association Modeling of Conversational Video", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4901. Accessed: Feb. 19, 2020.
@article{4901-19,
url = {http://sigport.org/4901},
author = { },
publisher = {IEEE SigPort},
title = {Data Driven QoE-QoS Association Modeling of Conversational Video},
year = {2019} }
TY - EJOUR
T1 - Data Driven QoE-QoS Association Modeling of Conversational Video
AU -
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4901
ER -
. (2019). Data Driven QoE-QoS Association Modeling of Conversational Video. IEEE SigPort. http://sigport.org/4901
, 2019. Data Driven QoE-QoS Association Modeling of Conversational Video. Available at: http://sigport.org/4901.
. (2019). "Data Driven QoE-QoS Association Modeling of Conversational Video." Web.
1. . Data Driven QoE-QoS Association Modeling of Conversational Video [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4901

Joint Subchannel and Power Allocation for Cognitive NOMA Systems with Imperfect CSI

Yongjun Xu

In this paper, a robust power allocation and subchannel assignment algorithm was proposed to maximize the total EE
of SUs for cognitive NOMA systems under taking channel uncertainties and diverse QoS requirements of users into account. The RAA problem was formulated into a non-convex mixed-integer fractional programming problem with the outage probabilities of users and thus difficult to solve. Based on Gaussian CSI error models, we transformed the robust rate constraint and the robust interference power constraint into the convex constraints. By slacking the integer subchannel allocation factor into a continuous variable, the original problem was converted into a convex problem by using the subtractive-form auxiliary variable. Based on the Lagrangian dual approach and the subgradient updating methods, the closed-form solutions were obtained. The effectiveness of the proposed algorithm was verified by comparing it with the existing algorithms.

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Authors:
Yongjun Xu
Yang Yang, Guoquan Li, Zhengqiang Wang
Submitted On:
29 October 2019 - 3:04pm
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[1] Yang Yang, Guoquan Li, Zhengqiang Wang, "Joint Subchannel and Power Allocation for Cognitive NOMA Systems with Imperfect CSI", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4900. Accessed: Feb. 19, 2020.
@article{4900-19,
url = {http://sigport.org/4900},
author = {Yang Yang; Guoquan Li; Zhengqiang Wang },
publisher = {IEEE SigPort},
title = {Joint Subchannel and Power Allocation for Cognitive NOMA Systems with Imperfect CSI},
year = {2019} }
TY - EJOUR
T1 - Joint Subchannel and Power Allocation for Cognitive NOMA Systems with Imperfect CSI
AU - Yang Yang; Guoquan Li; Zhengqiang Wang
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4900
ER -
Yang Yang, Guoquan Li, Zhengqiang Wang. (2019). Joint Subchannel and Power Allocation for Cognitive NOMA Systems with Imperfect CSI. IEEE SigPort. http://sigport.org/4900
Yang Yang, Guoquan Li, Zhengqiang Wang, 2019. Joint Subchannel and Power Allocation for Cognitive NOMA Systems with Imperfect CSI. Available at: http://sigport.org/4900.
Yang Yang, Guoquan Li, Zhengqiang Wang. (2019). "Joint Subchannel and Power Allocation for Cognitive NOMA Systems with Imperfect CSI." Web.
1. Yang Yang, Guoquan Li, Zhengqiang Wang. Joint Subchannel and Power Allocation for Cognitive NOMA Systems with Imperfect CSI [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4900

MEMORY-BASED PARAMETERIZED SKILLS LEARNING FOR MAPLESS VISUAL NAVIGATION

yuyang liu

The recently-proposed reinforcement learning for mapless visual navigation can generate an optimal policy for searching different targets. However, most state-of-the-art deep reinforcement learning (DRL) models depend on hard rewards to learn the optimal policy, which can lead to the lack of previous diverse experiences. Moreover, these pre-trained DRL models cannot generalize well to un-trained tasks. To overcome these problems above, in this paper, we propose a Memorybased Parameterized Skills Learning (MPSL) model for mapless visual navigation.

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Authors:
yuyang liu
Yuyang Liu, Yang Cong and Gan Sun
Submitted On:
11 September 2019 - 11:06pm
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The poster of 1881.

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[1] Yuyang Liu, Yang Cong and Gan Sun, "MEMORY-BASED PARAMETERIZED SKILLS LEARNING FOR MAPLESS VISUAL NAVIGATION", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4598. Accessed: Feb. 19, 2020.
@article{4598-19,
url = {http://sigport.org/4598},
author = {Yuyang Liu; Yang Cong and Gan Sun },
publisher = {IEEE SigPort},
title = {MEMORY-BASED PARAMETERIZED SKILLS LEARNING FOR MAPLESS VISUAL NAVIGATION},
year = {2019} }
TY - EJOUR
T1 - MEMORY-BASED PARAMETERIZED SKILLS LEARNING FOR MAPLESS VISUAL NAVIGATION
AU - Yuyang Liu; Yang Cong and Gan Sun
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4598
ER -
Yuyang Liu, Yang Cong and Gan Sun. (2019). MEMORY-BASED PARAMETERIZED SKILLS LEARNING FOR MAPLESS VISUAL NAVIGATION. IEEE SigPort. http://sigport.org/4598
Yuyang Liu, Yang Cong and Gan Sun, 2019. MEMORY-BASED PARAMETERIZED SKILLS LEARNING FOR MAPLESS VISUAL NAVIGATION. Available at: http://sigport.org/4598.
Yuyang Liu, Yang Cong and Gan Sun. (2019). "MEMORY-BASED PARAMETERIZED SKILLS LEARNING FOR MAPLESS VISUAL NAVIGATION." Web.
1. Yuyang Liu, Yang Cong and Gan Sun. MEMORY-BASED PARAMETERIZED SKILLS LEARNING FOR MAPLESS VISUAL NAVIGATION [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4598

When can a System of Subnetworks be Registered Uniquely?

Aditya Singh

Consider a network with N nodes in d dimensions, and M overlapping subsets P_1,...,P_M (subnetworks). Assume that the nodes in a given P_i are observed in a local coordinate system. We wish to register the subnetworks using the knowledge of the observed coordinates. More precisely, we want to compute the positions of the N nodes in a global coordinate system, given P_1,...,P_M and the corresponding local coordinates. Among other applications, this problem arises in divide-and-conquer algorithms for localization of adhoc sensor networks.

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Authors:
Aditya Singh
Aditya V. Singh, Kunal N. Chaudhury
Submitted On:
27 May 2019 - 5:42am
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Unique Point Cloud Registration

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[1] Aditya V. Singh, Kunal N. Chaudhury, "When can a System of Subnetworks be Registered Uniquely?", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4560. Accessed: Feb. 19, 2020.
@article{4560-19,
url = {http://sigport.org/4560},
author = {Aditya V. Singh; Kunal N. Chaudhury },
publisher = {IEEE SigPort},
title = {When can a System of Subnetworks be Registered Uniquely?},
year = {2019} }
TY - EJOUR
T1 - When can a System of Subnetworks be Registered Uniquely?
AU - Aditya V. Singh; Kunal N. Chaudhury
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4560
ER -
Aditya V. Singh, Kunal N. Chaudhury. (2019). When can a System of Subnetworks be Registered Uniquely?. IEEE SigPort. http://sigport.org/4560
Aditya V. Singh, Kunal N. Chaudhury, 2019. When can a System of Subnetworks be Registered Uniquely?. Available at: http://sigport.org/4560.
Aditya V. Singh, Kunal N. Chaudhury. (2019). "When can a System of Subnetworks be Registered Uniquely?." Web.
1. Aditya V. Singh, Kunal N. Chaudhury. When can a System of Subnetworks be Registered Uniquely? [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4560

Detection of Pilot-Hopping Sequences for Grant-Free Random Access in Massive MIMO Systems

Ema Becirovic

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Authors:
Ema Becirovic
Ema Becirovic, Emil Björnson, Erik G. Larsson
Submitted On:
17 May 2019 - 3:46am
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presentation_ICASSP.pdf

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[1] Ema Becirovic, Emil Björnson, Erik G. Larsson, "Detection of Pilot-Hopping Sequences for Grant-Free Random Access in Massive MIMO Systems", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4544. Accessed: Feb. 19, 2020.
@article{4544-19,
url = {http://sigport.org/4544},
author = {Ema Becirovic; Emil Björnson; Erik G. Larsson },
publisher = {IEEE SigPort},
title = {Detection of Pilot-Hopping Sequences for Grant-Free Random Access in Massive MIMO Systems},
year = {2019} }
TY - EJOUR
T1 - Detection of Pilot-Hopping Sequences for Grant-Free Random Access in Massive MIMO Systems
AU - Ema Becirovic; Emil Björnson; Erik G. Larsson
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4544
ER -
Ema Becirovic, Emil Björnson, Erik G. Larsson. (2019). Detection of Pilot-Hopping Sequences for Grant-Free Random Access in Massive MIMO Systems. IEEE SigPort. http://sigport.org/4544
Ema Becirovic, Emil Björnson, Erik G. Larsson, 2019. Detection of Pilot-Hopping Sequences for Grant-Free Random Access in Massive MIMO Systems. Available at: http://sigport.org/4544.
Ema Becirovic, Emil Björnson, Erik G. Larsson. (2019). "Detection of Pilot-Hopping Sequences for Grant-Free Random Access in Massive MIMO Systems." Web.
1. Ema Becirovic, Emil Björnson, Erik G. Larsson. Detection of Pilot-Hopping Sequences for Grant-Free Random Access in Massive MIMO Systems [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4544

CHANNEL IMPULSIVE NOISE MITIGATION FOR LINEAR VIDEO CODING SCHEMES

shuo ZHENG
Michel Kieffer

The problem of impulse noise mitigation is considered when videos encoded using a SoftCast based Linear Video Coding scheme are transmitted using an OFDM scheme over a wideband channel prone to impulse noise A Fast Bayesian Matching Pursuit algorithm is employed for impulse noise mitigation This approach requires the provisioning of some OFDM subchannels to estimate the impulse noise locations and amplitudes Provisioned subchannels cannot be used to transmit data and lead to a decrease of the nominal decoded video quality at receivers in absence of impulse noise Using a phenomenological mod

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Authors:
shuo ZHENG
Michel Kieffer
Shuo Zheng, Marco Cagnazzo, Michel Kieffer
Submitted On:
16 May 2019 - 6:45pm
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PPT_ICASSP_2019.pdf

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[1] Shuo Zheng, Marco Cagnazzo, Michel Kieffer, "CHANNEL IMPULSIVE NOISE MITIGATION FOR LINEAR VIDEO CODING SCHEMES", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4541. Accessed: Feb. 19, 2020.
@article{4541-19,
url = {http://sigport.org/4541},
author = {Shuo Zheng; Marco Cagnazzo; Michel Kieffer },
publisher = {IEEE SigPort},
title = {CHANNEL IMPULSIVE NOISE MITIGATION FOR LINEAR VIDEO CODING SCHEMES},
year = {2019} }
TY - EJOUR
T1 - CHANNEL IMPULSIVE NOISE MITIGATION FOR LINEAR VIDEO CODING SCHEMES
AU - Shuo Zheng; Marco Cagnazzo; Michel Kieffer
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4541
ER -
Shuo Zheng, Marco Cagnazzo, Michel Kieffer. (2019). CHANNEL IMPULSIVE NOISE MITIGATION FOR LINEAR VIDEO CODING SCHEMES. IEEE SigPort. http://sigport.org/4541
Shuo Zheng, Marco Cagnazzo, Michel Kieffer, 2019. CHANNEL IMPULSIVE NOISE MITIGATION FOR LINEAR VIDEO CODING SCHEMES. Available at: http://sigport.org/4541.
Shuo Zheng, Marco Cagnazzo, Michel Kieffer. (2019). "CHANNEL IMPULSIVE NOISE MITIGATION FOR LINEAR VIDEO CODING SCHEMES." Web.
1. Shuo Zheng, Marco Cagnazzo, Michel Kieffer. CHANNEL IMPULSIVE NOISE MITIGATION FOR LINEAR VIDEO CODING SCHEMES [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4541

ON ACHIEVABLE RATES FOR MASSIVE MIMO SYSTEM WITH IMPERFECT CHANNEL COVARIANCE INFORMATION

KAMESWARA ATCHUTARAM KOCHARLAKOTA
Karthik Upadhya
Sergiy Vorobyov

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Authors:
KAMESWARA ATCHUTARAM KOCHARLAKOTA
Karthik Upadhya
Sergiy Vorobyov
Submitted On:
10 May 2019 - 5:16pm
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[1] , "ON ACHIEVABLE RATES FOR MASSIVE MIMO SYSTEM WITH IMPERFECT CHANNEL COVARIANCE INFORMATION", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4413. Accessed: Feb. 19, 2020.
@article{4413-19,
url = {http://sigport.org/4413},
author = { },
publisher = {IEEE SigPort},
title = {ON ACHIEVABLE RATES FOR MASSIVE MIMO SYSTEM WITH IMPERFECT CHANNEL COVARIANCE INFORMATION},
year = {2019} }
TY - EJOUR
T1 - ON ACHIEVABLE RATES FOR MASSIVE MIMO SYSTEM WITH IMPERFECT CHANNEL COVARIANCE INFORMATION
AU -
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4413
ER -
. (2019). ON ACHIEVABLE RATES FOR MASSIVE MIMO SYSTEM WITH IMPERFECT CHANNEL COVARIANCE INFORMATION. IEEE SigPort. http://sigport.org/4413
, 2019. ON ACHIEVABLE RATES FOR MASSIVE MIMO SYSTEM WITH IMPERFECT CHANNEL COVARIANCE INFORMATION. Available at: http://sigport.org/4413.
. (2019). "ON ACHIEVABLE RATES FOR MASSIVE MIMO SYSTEM WITH IMPERFECT CHANNEL COVARIANCE INFORMATION." Web.
1. . ON ACHIEVABLE RATES FOR MASSIVE MIMO SYSTEM WITH IMPERFECT CHANNEL COVARIANCE INFORMATION [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4413

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