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Communications and Networking

Coordinated Hybrid Precoding for Energy-efficient Millimeter Wave Systems

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Authors:
Chao Fang, Behrooz Makki, Jingya Li, Tommy Svensson
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20 June 2018 - 10:22am
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SPAWC_poster.pdf

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[1] Chao Fang, Behrooz Makki, Jingya Li, Tommy Svensson, "Coordinated Hybrid Precoding for Energy-efficient Millimeter Wave Systems", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3260. Accessed: Oct. 19, 2018.
@article{3260-18,
url = {http://sigport.org/3260},
author = {Chao Fang; Behrooz Makki; Jingya Li; Tommy Svensson },
publisher = {IEEE SigPort},
title = {Coordinated Hybrid Precoding for Energy-efficient Millimeter Wave Systems},
year = {2018} }
TY - EJOUR
T1 - Coordinated Hybrid Precoding for Energy-efficient Millimeter Wave Systems
AU - Chao Fang; Behrooz Makki; Jingya Li; Tommy Svensson
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3260
ER -
Chao Fang, Behrooz Makki, Jingya Li, Tommy Svensson. (2018). Coordinated Hybrid Precoding for Energy-efficient Millimeter Wave Systems. IEEE SigPort. http://sigport.org/3260
Chao Fang, Behrooz Makki, Jingya Li, Tommy Svensson, 2018. Coordinated Hybrid Precoding for Energy-efficient Millimeter Wave Systems. Available at: http://sigport.org/3260.
Chao Fang, Behrooz Makki, Jingya Li, Tommy Svensson. (2018). "Coordinated Hybrid Precoding for Energy-efficient Millimeter Wave Systems." Web.
1. Chao Fang, Behrooz Makki, Jingya Li, Tommy Svensson. Coordinated Hybrid Precoding for Energy-efficient Millimeter Wave Systems [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3260

Channel Hardening in Massive MIMO - a Measurement Based Analysis


Wireless-controlled robots, cars and other critical applications are in need of technologies that offer high reliability and low latency. Massive MIMO, Multiple-Input Multiple-Output, is a key technology for the upcoming 5G systems and is one part of the solution to increase the reliability of wireless systems. More specifically, when increasing the number of base station antennas in a massive MIMO systems the channel variations decrease and the so-called channel hardening effect appears. This means that the variations of the channel gain in

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Authors:
Jose Flordelis, Liesbet Van der Perre, Fredrik Tufvesson
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20 June 2018 - 9:56am
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Poster

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[1] Jose Flordelis, Liesbet Van der Perre, Fredrik Tufvesson, "Channel Hardening in Massive MIMO - a Measurement Based Analysis", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3256. Accessed: Oct. 19, 2018.
@article{3256-18,
url = {http://sigport.org/3256},
author = {Jose Flordelis; Liesbet Van der Perre; Fredrik Tufvesson },
publisher = {IEEE SigPort},
title = {Channel Hardening in Massive MIMO - a Measurement Based Analysis},
year = {2018} }
TY - EJOUR
T1 - Channel Hardening in Massive MIMO - a Measurement Based Analysis
AU - Jose Flordelis; Liesbet Van der Perre; Fredrik Tufvesson
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3256
ER -
Jose Flordelis, Liesbet Van der Perre, Fredrik Tufvesson. (2018). Channel Hardening in Massive MIMO - a Measurement Based Analysis. IEEE SigPort. http://sigport.org/3256
Jose Flordelis, Liesbet Van der Perre, Fredrik Tufvesson, 2018. Channel Hardening in Massive MIMO - a Measurement Based Analysis. Available at: http://sigport.org/3256.
Jose Flordelis, Liesbet Van der Perre, Fredrik Tufvesson. (2018). "Channel Hardening in Massive MIMO - a Measurement Based Analysis." Web.
1. Jose Flordelis, Liesbet Van der Perre, Fredrik Tufvesson. Channel Hardening in Massive MIMO - a Measurement Based Analysis [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3256

LQG Control and Scheduling Co-design for Wireless Sensor and Actuator Networks


We study a co-design problem of control, scheduling, and routing over a multi-hop sensor and actuator network (WSANs) subject to energy-saving consideration. We formulate an optimization problem, minimizing a linear combination of the averaged linear quadratic Gaussian (LQG) control performance and the averaged transmission energy consumption. Optimal solutions are derived and their performance is illustrated in a numerical example.

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Authors:
Karl Henrik Johansson
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20 June 2018 - 9:29am
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SPAWC18_Takuya_Iwaki.pdf

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[1] Karl Henrik Johansson, "LQG Control and Scheduling Co-design for Wireless Sensor and Actuator Networks", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3250. Accessed: Oct. 19, 2018.
@article{3250-18,
url = {http://sigport.org/3250},
author = {Karl Henrik Johansson },
publisher = {IEEE SigPort},
title = {LQG Control and Scheduling Co-design for Wireless Sensor and Actuator Networks},
year = {2018} }
TY - EJOUR
T1 - LQG Control and Scheduling Co-design for Wireless Sensor and Actuator Networks
AU - Karl Henrik Johansson
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3250
ER -
Karl Henrik Johansson. (2018). LQG Control and Scheduling Co-design for Wireless Sensor and Actuator Networks. IEEE SigPort. http://sigport.org/3250
Karl Henrik Johansson, 2018. LQG Control and Scheduling Co-design for Wireless Sensor and Actuator Networks. Available at: http://sigport.org/3250.
Karl Henrik Johansson. (2018). "LQG Control and Scheduling Co-design for Wireless Sensor and Actuator Networks." Web.
1. Karl Henrik Johansson. LQG Control and Scheduling Co-design for Wireless Sensor and Actuator Networks [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3250

Mobile Edge Computing for Cellular-Connected UAV: Computation Offloading and Trajectory Optimization

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Authors:
Jie Xu;Rui Zhang
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20 June 2018 - 9:08am
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poster_spawc2018v1.pdf

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[1] Jie Xu;Rui Zhang, "Mobile Edge Computing for Cellular-Connected UAV: Computation Offloading and Trajectory Optimization", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3246. Accessed: Oct. 19, 2018.
@article{3246-18,
url = {http://sigport.org/3246},
author = {Jie Xu;Rui Zhang },
publisher = {IEEE SigPort},
title = {Mobile Edge Computing for Cellular-Connected UAV: Computation Offloading and Trajectory Optimization},
year = {2018} }
TY - EJOUR
T1 - Mobile Edge Computing for Cellular-Connected UAV: Computation Offloading and Trajectory Optimization
AU - Jie Xu;Rui Zhang
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3246
ER -
Jie Xu;Rui Zhang. (2018). Mobile Edge Computing for Cellular-Connected UAV: Computation Offloading and Trajectory Optimization. IEEE SigPort. http://sigport.org/3246
Jie Xu;Rui Zhang, 2018. Mobile Edge Computing for Cellular-Connected UAV: Computation Offloading and Trajectory Optimization. Available at: http://sigport.org/3246.
Jie Xu;Rui Zhang. (2018). "Mobile Edge Computing for Cellular-Connected UAV: Computation Offloading and Trajectory Optimization." Web.
1. Jie Xu;Rui Zhang. Mobile Edge Computing for Cellular-Connected UAV: Computation Offloading and Trajectory Optimization [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3246

Pilot Contamination in Massive MIMO: A Measurement-based Analysis using 2D-MUSIC


When a base station (BS) sees desired and interfering
users at different angles, it results in non-overlapping angleof-
arrival (AoA) regions for those users. This is important for
reducing pilot contamination (PC) of massive MIMO systems.
Most state of the art studies utilize a simple non-line-of-sight
(NLoS) one-ring model which assumes sparse support and can
reasonably schedule users with different AoA to minimize PC.
However, it is not confirmed with measurements that the one-ring

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Authors:
Cheng-Ming Chen, Andrea P. Guevaraand Sofie Pollin
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20 June 2018 - 8:34am
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SPAWC2018_CM_SP3.pdf

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[1] Cheng-Ming Chen, Andrea P. Guevaraand Sofie Pollin, "Pilot Contamination in Massive MIMO: A Measurement-based Analysis using 2D-MUSIC", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3238. Accessed: Oct. 19, 2018.
@article{3238-18,
url = {http://sigport.org/3238},
author = {Cheng-Ming Chen; Andrea P. Guevaraand Sofie Pollin },
publisher = {IEEE SigPort},
title = {Pilot Contamination in Massive MIMO: A Measurement-based Analysis using 2D-MUSIC},
year = {2018} }
TY - EJOUR
T1 - Pilot Contamination in Massive MIMO: A Measurement-based Analysis using 2D-MUSIC
AU - Cheng-Ming Chen; Andrea P. Guevaraand Sofie Pollin
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3238
ER -
Cheng-Ming Chen, Andrea P. Guevaraand Sofie Pollin. (2018). Pilot Contamination in Massive MIMO: A Measurement-based Analysis using 2D-MUSIC. IEEE SigPort. http://sigport.org/3238
Cheng-Ming Chen, Andrea P. Guevaraand Sofie Pollin, 2018. Pilot Contamination in Massive MIMO: A Measurement-based Analysis using 2D-MUSIC. Available at: http://sigport.org/3238.
Cheng-Ming Chen, Andrea P. Guevaraand Sofie Pollin. (2018). "Pilot Contamination in Massive MIMO: A Measurement-based Analysis using 2D-MUSIC." Web.
1. Cheng-Ming Chen, Andrea P. Guevaraand Sofie Pollin. Pilot Contamination in Massive MIMO: A Measurement-based Analysis using 2D-MUSIC [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3238

Random Access Schemes in Wireless Systems With Correlated User Activity


Traditional random access schemes are designed based on the aggregate process of user activation, which is created on the basis of independent activations of the users. However, in Machine-Type Communications (MTC), some users are likely to exhibit a high degree of correlation, e.g. because they observe the same physical phenomenon. This paves the way to devise access schemes that combine scheduling and random access, which is the topic of this work. The underlying idea is to schedule highly correlated users in such a way that their transmissions are less likely to result in a collision.

poster.pdf

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Authors:
Osama Hanna, Petar Popovski
Submitted On:
20 June 2018 - 8:31am
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[1] Osama Hanna, Petar Popovski, "Random Access Schemes in Wireless Systems With Correlated User Activity", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3237. Accessed: Oct. 19, 2018.
@article{3237-18,
url = {http://sigport.org/3237},
author = {Osama Hanna; Petar Popovski },
publisher = {IEEE SigPort},
title = {Random Access Schemes in Wireless Systems With Correlated User Activity},
year = {2018} }
TY - EJOUR
T1 - Random Access Schemes in Wireless Systems With Correlated User Activity
AU - Osama Hanna; Petar Popovski
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3237
ER -
Osama Hanna, Petar Popovski. (2018). Random Access Schemes in Wireless Systems With Correlated User Activity. IEEE SigPort. http://sigport.org/3237
Osama Hanna, Petar Popovski, 2018. Random Access Schemes in Wireless Systems With Correlated User Activity. Available at: http://sigport.org/3237.
Osama Hanna, Petar Popovski. (2018). "Random Access Schemes in Wireless Systems With Correlated User Activity." Web.
1. Osama Hanna, Petar Popovski. Random Access Schemes in Wireless Systems With Correlated User Activity [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3237

Resource Allocation for Solar Powered UAV Communication Systems


In this paper, we investigate the resource allocation design for multicarrier (MC) systems employing a solar powered unmanned aerial vehicle (UAV) for providing communication services to multiple downlink users. We study the joint design of the three-dimensional positioning of the UAV and the power and subcarrier allocation for maximization of the system sum throughput. The algorithm design is formulated as a mixed-integer non-convex optimization problem, which requires a prohibitive computational complexity for obtaining the globally optimal solution.

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Authors:
Yan Sun, Derrick Wing Kwan Ng, Dongfang Xu, Linglong Dai, Robert Schober
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20 June 2018 - 8:22am
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solar_powered UAV_poster.pdf

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[1] Yan Sun, Derrick Wing Kwan Ng, Dongfang Xu, Linglong Dai, Robert Schober, "Resource Allocation for Solar Powered UAV Communication Systems", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3234. Accessed: Oct. 19, 2018.
@article{3234-18,
url = {http://sigport.org/3234},
author = {Yan Sun; Derrick Wing Kwan Ng; Dongfang Xu; Linglong Dai; Robert Schober },
publisher = {IEEE SigPort},
title = {Resource Allocation for Solar Powered UAV Communication Systems},
year = {2018} }
TY - EJOUR
T1 - Resource Allocation for Solar Powered UAV Communication Systems
AU - Yan Sun; Derrick Wing Kwan Ng; Dongfang Xu; Linglong Dai; Robert Schober
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3234
ER -
Yan Sun, Derrick Wing Kwan Ng, Dongfang Xu, Linglong Dai, Robert Schober. (2018). Resource Allocation for Solar Powered UAV Communication Systems. IEEE SigPort. http://sigport.org/3234
Yan Sun, Derrick Wing Kwan Ng, Dongfang Xu, Linglong Dai, Robert Schober, 2018. Resource Allocation for Solar Powered UAV Communication Systems. Available at: http://sigport.org/3234.
Yan Sun, Derrick Wing Kwan Ng, Dongfang Xu, Linglong Dai, Robert Schober. (2018). "Resource Allocation for Solar Powered UAV Communication Systems." Web.
1. Yan Sun, Derrick Wing Kwan Ng, Dongfang Xu, Linglong Dai, Robert Schober. Resource Allocation for Solar Powered UAV Communication Systems [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3234

High-speed Optical Camera Communication Using an Optimally Modulated Signal


This paper describes a high-speed optical camera communication (OCC) technique using an LED and a rolling-shutter camera. In the proposed technique, the symbols being transmitted are encoded as time delays of optimally modulated signals derived theoretically. A receiver decodes the symbols by using intensities obtained from four consecutive line sensors of a camera.

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Authors:
Hayato Kumaki, Takayuki Akiyama, Hiromichi Hashizume
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20 April 2018 - 5:32am
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skah-icassp2018-poster.pdf

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[1] Hayato Kumaki, Takayuki Akiyama, Hiromichi Hashizume, "High-speed Optical Camera Communication Using an Optimally Modulated Signal", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3099. Accessed: Oct. 19, 2018.
@article{3099-18,
url = {http://sigport.org/3099},
author = {Hayato Kumaki; Takayuki Akiyama; Hiromichi Hashizume },
publisher = {IEEE SigPort},
title = {High-speed Optical Camera Communication Using an Optimally Modulated Signal},
year = {2018} }
TY - EJOUR
T1 - High-speed Optical Camera Communication Using an Optimally Modulated Signal
AU - Hayato Kumaki; Takayuki Akiyama; Hiromichi Hashizume
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3099
ER -
Hayato Kumaki, Takayuki Akiyama, Hiromichi Hashizume. (2018). High-speed Optical Camera Communication Using an Optimally Modulated Signal. IEEE SigPort. http://sigport.org/3099
Hayato Kumaki, Takayuki Akiyama, Hiromichi Hashizume, 2018. High-speed Optical Camera Communication Using an Optimally Modulated Signal. Available at: http://sigport.org/3099.
Hayato Kumaki, Takayuki Akiyama, Hiromichi Hashizume. (2018). "High-speed Optical Camera Communication Using an Optimally Modulated Signal." Web.
1. Hayato Kumaki, Takayuki Akiyama, Hiromichi Hashizume. High-speed Optical Camera Communication Using an Optimally Modulated Signal [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3099

DEEP LEARNING FOR FRAME ERROR PROBABILITY PREDICTION IN BICM-OFDM SYSTEMS


In the context of wireless communications, we propose a deep learning approach to learn the mapping from the instantaneous state of a frequency selective fading channel to the corresponding frame error probability (FEP) for an arbitrary set of transmission parameters. We propose an abstract model of a bit interleaved coded modulation (BICM) orthogonal frequency division multiplexing (OFDM) link chain and show that the maximum likelihood (ML) estimator of the model parameters estimates the true FEP distribution.

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Authors:
Vidit Saxena, Joakim Jaldén, Hugo Tullberg, Mats Bengtsson
Submitted On:
19 April 2018 - 5:17pm
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Deep Learning for FEP Prediction.pdf

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[1] Vidit Saxena, Joakim Jaldén, Hugo Tullberg, Mats Bengtsson, "DEEP LEARNING FOR FRAME ERROR PROBABILITY PREDICTION IN BICM-OFDM SYSTEMS", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3030. Accessed: Oct. 19, 2018.
@article{3030-18,
url = {http://sigport.org/3030},
author = {Vidit Saxena; Joakim Jaldén; Hugo Tullberg; Mats Bengtsson },
publisher = {IEEE SigPort},
title = {DEEP LEARNING FOR FRAME ERROR PROBABILITY PREDICTION IN BICM-OFDM SYSTEMS},
year = {2018} }
TY - EJOUR
T1 - DEEP LEARNING FOR FRAME ERROR PROBABILITY PREDICTION IN BICM-OFDM SYSTEMS
AU - Vidit Saxena; Joakim Jaldén; Hugo Tullberg; Mats Bengtsson
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3030
ER -
Vidit Saxena, Joakim Jaldén, Hugo Tullberg, Mats Bengtsson. (2018). DEEP LEARNING FOR FRAME ERROR PROBABILITY PREDICTION IN BICM-OFDM SYSTEMS. IEEE SigPort. http://sigport.org/3030
Vidit Saxena, Joakim Jaldén, Hugo Tullberg, Mats Bengtsson, 2018. DEEP LEARNING FOR FRAME ERROR PROBABILITY PREDICTION IN BICM-OFDM SYSTEMS. Available at: http://sigport.org/3030.
Vidit Saxena, Joakim Jaldén, Hugo Tullberg, Mats Bengtsson. (2018). "DEEP LEARNING FOR FRAME ERROR PROBABILITY PREDICTION IN BICM-OFDM SYSTEMS." Web.
1. Vidit Saxena, Joakim Jaldén, Hugo Tullberg, Mats Bengtsson. DEEP LEARNING FOR FRAME ERROR PROBABILITY PREDICTION IN BICM-OFDM SYSTEMS [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3030

A compressive sensing-based active user and symbol detection for massive machine type communications

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18 April 2018 - 1:10am
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icassp18_r3.pdf

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[1] , "A compressive sensing-based active user and symbol detection for massive machine type communications", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/2959. Accessed: Oct. 19, 2018.
@article{2959-18,
url = {http://sigport.org/2959},
author = { },
publisher = {IEEE SigPort},
title = {A compressive sensing-based active user and symbol detection for massive machine type communications},
year = {2018} }
TY - EJOUR
T1 - A compressive sensing-based active user and symbol detection for massive machine type communications
AU -
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/2959
ER -
. (2018). A compressive sensing-based active user and symbol detection for massive machine type communications. IEEE SigPort. http://sigport.org/2959
, 2018. A compressive sensing-based active user and symbol detection for massive machine type communications. Available at: http://sigport.org/2959.
. (2018). "A compressive sensing-based active user and symbol detection for massive machine type communications." Web.
1. . A compressive sensing-based active user and symbol detection for massive machine type communications [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/2959

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