Pub Date : 2018-06-01DOI: 10.1109/SPAWC.2018.8445779
D. Darsena, G. Gelli, F. Verde
This paper deals with the problem of joint channel estimation, interference suppression, and data detection for ambient backscatter communications, where a small device modulates its information by reflecting the radio-frequency signals emitted by a legacy orthogonal frequency-division multiplexing access point (AP). In particular, we study the case when the intended recipient of the backscatter information is integrated into the AP. The proposed technique, which relies on the space alternating generalized expectation maximization algorithm, detects the backscatter symbols iteratively, while the channel parameters are updated in parallel, leading to a receiver that also incorporates interference cancellation capabilities. Its performance is evaluated through Monte Carlo simulations.
{"title":"Joint Channel Estimation, Interference Cancellation, and Data Detection for Ambient Backscatter Communications","authors":"D. Darsena, G. Gelli, F. Verde","doi":"10.1109/SPAWC.2018.8445779","DOIUrl":"https://doi.org/10.1109/SPAWC.2018.8445779","url":null,"abstract":"This paper deals with the problem of joint channel estimation, interference suppression, and data detection for ambient backscatter communications, where a small device modulates its information by reflecting the radio-frequency signals emitted by a legacy orthogonal frequency-division multiplexing access point (AP). In particular, we study the case when the intended recipient of the backscatter information is integrated into the AP. The proposed technique, which relies on the space alternating generalized expectation maximization algorithm, detects the backscatter symbols iteratively, while the channel parameters are updated in parallel, leading to a receiver that also incorporates interference cancellation capabilities. Its performance is evaluated through Monte Carlo simulations.","PeriodicalId":240036,"journal":{"name":"2018 IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126365116","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-06-01DOI: 10.1109/SPAWC.2018.8445769
Yawen Fan, Husheng Li
Distributedly learning through wireless network becomes one of the future features with the growth of computation power for devices. Communication becomes the bottleneck for such distributed framework. In this paper, distributed learning is studied using the approach of coreset. In the context of classification, an algorithm of coreset construction is proposed to reduce the redundancy of data and thus the communication requirement, similarly to source coding in traditional data communications. The coreset based sampling is robust to adversary distribution, thus leading to potential applications in distributed learning systems. Both theoretical and numerical analyses are provided to demonstrate the proposed framework.
{"title":"Communication Efficient Coreset Sampling for Distributed Learning","authors":"Yawen Fan, Husheng Li","doi":"10.1109/SPAWC.2018.8445769","DOIUrl":"https://doi.org/10.1109/SPAWC.2018.8445769","url":null,"abstract":"Distributedly learning through wireless network becomes one of the future features with the growth of computation power for devices. Communication becomes the bottleneck for such distributed framework. In this paper, distributed learning is studied using the approach of coreset. In the context of classification, an algorithm of coreset construction is proposed to reduce the redundancy of data and thus the communication requirement, similarly to source coding in traditional data communications. The coreset based sampling is robust to adversary distribution, thus leading to potential applications in distributed learning systems. Both theoretical and numerical analyses are provided to demonstrate the proposed framework.","PeriodicalId":240036,"journal":{"name":"2018 IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124248608","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-06-01DOI: 10.1109/SPAWC.2018.8445926
N. Farsad, A. Goldsmith
We consider molecular communication systems and show it is possible to train detectors without any knowledge of the underlying channel models. In particular, we demonstrate that a technique we previously developed, which is called sliding bidirectional recurrent neural network (SBRNN), performs well for a wide range of channel states when it is trained using a dataset that contains many sample transmissions under various channel conditions. We also demonstrate that the bit error rate (BER) performance of the proposed SBRNN detector is better than that of a Viterbi detector (VD) with imperfect channel state information (CSI) and it is computationally efficient.
{"title":"Neural Network Detectors for Molecular Communication Systems","authors":"N. Farsad, A. Goldsmith","doi":"10.1109/SPAWC.2018.8445926","DOIUrl":"https://doi.org/10.1109/SPAWC.2018.8445926","url":null,"abstract":"We consider molecular communication systems and show it is possible to train detectors without any knowledge of the underlying channel models. In particular, we demonstrate that a technique we previously developed, which is called sliding bidirectional recurrent neural network (SBRNN), performs well for a wide range of channel states when it is trained using a dataset that contains many sample transmissions under various channel conditions. We also demonstrate that the bit error rate (BER) performance of the proposed SBRNN detector is better than that of a Viterbi detector (VD) with imperfect channel state information (CSI) and it is computationally efficient.","PeriodicalId":240036,"journal":{"name":"2018 IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)","volume":"148 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123210739","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-06-01DOI: 10.1109/SPAWC.2018.8445930
J. Picard
Positioning and communication systems rely on synchronization processes that are expensive in terms of time, energy and resources. A novel localization algorithm has been recently developed for the synchronization of static sensors [1]. This algorithm exploits time-delay measurements of signals-of-opportunity of static sources at unknown locations, which are not necessarily the tracked sources. We propose major enhancements of the initial method [1], enabling more realistic scenarios, with moving sources and sensors, in the presence of clock drift. Instead of relying on time-delay measurements only, the proposed method relies also on Doppler-shift measurements. Experiments show that the performance of the proposed method meets the Cramer-Rao bound.
{"title":"Exploiting Signals-of-Opportunity for the Synchronization of Moving Sensors","authors":"J. Picard","doi":"10.1109/SPAWC.2018.8445930","DOIUrl":"https://doi.org/10.1109/SPAWC.2018.8445930","url":null,"abstract":"Positioning and communication systems rely on synchronization processes that are expensive in terms of time, energy and resources. A novel localization algorithm has been recently developed for the synchronization of static sensors [1]. This algorithm exploits time-delay measurements of signals-of-opportunity of static sources at unknown locations, which are not necessarily the tracked sources. We propose major enhancements of the initial method [1], enabling more realistic scenarios, with moving sources and sensors, in the presence of clock drift. Instead of relying on time-delay measurements only, the proposed method relies also on Doppler-shift measurements. Experiments show that the performance of the proposed method meets the Cramer-Rao bound.","PeriodicalId":240036,"journal":{"name":"2018 IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)","volume":"124 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131494940","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-06-01DOI: 10.1109/spawc.2018.8445875
Yavuz Yapıcı, I. Guvenc
{"title":"Transient Performance of the Bidirectional LMS Over Quasi-Static Wireless Networks","authors":"Yavuz Yapıcı, I. Guvenc","doi":"10.1109/spawc.2018.8445875","DOIUrl":"https://doi.org/10.1109/spawc.2018.8445875","url":null,"abstract":"","PeriodicalId":240036,"journal":{"name":"2018 IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130562296","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-06-01DOI: 10.1109/SPAWC.2018.8446000
Sheng Yang, Zheng Li
In this paper, we consider a simple downlink channel with a multi-antenna base station and two single-antenna receivers. We assume that the channel is deterministic and known to all the nodes. Our contribution is two-fold. First, we show that linear precoding with private streams can have unbounded gap to the capacity of the channel. Second, we show that using rate-splitting with a simple power allocation one can achieve the sum capacity to within a constant gap for any channel realization.
{"title":"A Constant-Gap Result on the Multi-Antenna Broadcast Channels with Linearly Precoded Rate Splitting","authors":"Sheng Yang, Zheng Li","doi":"10.1109/SPAWC.2018.8446000","DOIUrl":"https://doi.org/10.1109/SPAWC.2018.8446000","url":null,"abstract":"In this paper, we consider a simple downlink channel with a multi-antenna base station and two single-antenna receivers. We assume that the channel is deterministic and known to all the nodes. Our contribution is two-fold. First, we show that linear precoding with private streams can have unbounded gap to the capacity of the channel. Second, we show that using rate-splitting with a simple power allocation one can achieve the sum capacity to within a constant gap for any channel realization.","PeriodicalId":240036,"journal":{"name":"2018 IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130349200","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-06-01DOI: 10.1109/SPAWC.2018.8445883
Mohammad Majidzadeh, Jarkko Kaleva, N. Tervo, Harri Pennanen, Antti Tölli, M. Latva-aho
Partially connected hybrid beamforming (HBF) is a promising approach to alleviate the implementation of large scale millimeter-wave multiple-input multiple-output (MIMO) systems. In this paper, we develop rate maximizing algorithms for the full array-and subarray-based processing strategies of partially connected HBF. We formulate the rate maximization problem as a weighted mean square error minimization problem and use alternating optimization to tackle it. Numerical results show that partially connected HBF provides a good balance between hardware complexity and performance in comparison to optimal fully digital and analog beamforming. Moreover, the simpler subarray-based HBF algorithm achieves comparable performance to that of the full array-based approach in medium and high SNRs. The rate maximizing results serve as upper bounds for lower complexity heuristic methods.
{"title":"Rate Maximization for Partially Connected Hybrid Beamforming in Single-User MIMO Systems","authors":"Mohammad Majidzadeh, Jarkko Kaleva, N. Tervo, Harri Pennanen, Antti Tölli, M. Latva-aho","doi":"10.1109/SPAWC.2018.8445883","DOIUrl":"https://doi.org/10.1109/SPAWC.2018.8445883","url":null,"abstract":"Partially connected hybrid beamforming (HBF) is a promising approach to alleviate the implementation of large scale millimeter-wave multiple-input multiple-output (MIMO) systems. In this paper, we develop rate maximizing algorithms for the full array-and subarray-based processing strategies of partially connected HBF. We formulate the rate maximization problem as a weighted mean square error minimization problem and use alternating optimization to tackle it. Numerical results show that partially connected HBF provides a good balance between hardware complexity and performance in comparison to optimal fully digital and analog beamforming. Moreover, the simpler subarray-based HBF algorithm achieves comparable performance to that of the full array-based approach in medium and high SNRs. The rate maximizing results serve as upper bounds for lower complexity heuristic methods.","PeriodicalId":240036,"journal":{"name":"2018 IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115076417","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-06-01DOI: 10.1109/SPAWC.2018.8445904
S. Biswas, Keshav Singh, T. Ratnarajah
We consider the spectral coexistence between collocated multiple-input-multiple-output (MIMO) radar and a full-duplex (FD) MIMO cellular system. Considering imperfect channel state information and hardware impairments at the cellular base station (BS), we focus on the design of beamforming matrices at the cellular system via the minimization of sum mean-squared-errors such that the detection probability of the radar is not affected due to spectrum sharing. The formulated problem is non-convex and hence we convert it into an equivalent semidefinite programming problem and propose an iterative algorithm to find the optimal beamforming matrices. Numerical results verify the eminence of spectrum sharing, albeit certain tradeoffs. In particular, using the spectrum shared by the radar, the FD cellular system can achieve an area throughput of around 4-5 Mbps/m2for a reasonable self-interference cancellation of around-70 dB. However, to facilitate this, while also maintaining a detection probability of around 0.9, the MIMO radar needs to spend an extra power of around 3-4 dB.
{"title":"Transceiver Design for Spectrum Sharing Between FD Cellular System and MIMO Radar","authors":"S. Biswas, Keshav Singh, T. Ratnarajah","doi":"10.1109/SPAWC.2018.8445904","DOIUrl":"https://doi.org/10.1109/SPAWC.2018.8445904","url":null,"abstract":"We consider the spectral coexistence between collocated multiple-input-multiple-output (MIMO) radar and a full-duplex (FD) MIMO cellular system. Considering imperfect channel state information and hardware impairments at the cellular base station (BS), we focus on the design of beamforming matrices at the cellular system via the minimization of sum mean-squared-errors such that the detection probability of the radar is not affected due to spectrum sharing. The formulated problem is non-convex and hence we convert it into an equivalent semidefinite programming problem and propose an iterative algorithm to find the optimal beamforming matrices. Numerical results verify the eminence of spectrum sharing, albeit certain tradeoffs. In particular, using the spectrum shared by the radar, the FD cellular system can achieve an area throughput of around 4-5 Mbps/m2for a reasonable self-interference cancellation of around-70 dB. However, to facilitate this, while also maintaining a detection probability of around 0.9, the MIMO radar needs to spend an extra power of around 3-4 dB.","PeriodicalId":240036,"journal":{"name":"2018 IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130889038","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-06-01DOI: 10.1109/SPAWC.2018.8445952
Chen Chen, Gongpu Wang, Lisheng Fan, F. Verde, Hao Guan
Ambient backscatter has been introduced as an potential technology that is effective to address communication and energy problems for battery-free devices. Most existing studies about ambient backscatter are based on the assumption of single antenna at each tag. In this paper, we show that multiple-antenna tags are practically useful and then investigate signal detection in ambient backscatter communication systems with multiple-antenna tags. Multiple antennas indicate multiple channel parameters between the tag and the reader, which constitutes the main challenge for signal detection because the tag has limited power and can transmit few training symbols. Therefore, we design a blind detector for the reader to recover tag signals without not only all channel state information (CSI) but also the knowledge of RF (radio frequency) signal power and noise variance The optimal antenna selection algorithm is also provided. Finally, we study the performance of the proposed detector by simulation examples.
{"title":"Detection of Ambient Backscatter Signals from Multiple-Antenna Tags","authors":"Chen Chen, Gongpu Wang, Lisheng Fan, F. Verde, Hao Guan","doi":"10.1109/SPAWC.2018.8445952","DOIUrl":"https://doi.org/10.1109/SPAWC.2018.8445952","url":null,"abstract":"Ambient backscatter has been introduced as an potential technology that is effective to address communication and energy problems for battery-free devices. Most existing studies about ambient backscatter are based on the assumption of single antenna at each tag. In this paper, we show that multiple-antenna tags are practically useful and then investigate signal detection in ambient backscatter communication systems with multiple-antenna tags. Multiple antennas indicate multiple channel parameters between the tag and the reader, which constitutes the main challenge for signal detection because the tag has limited power and can transmit few training symbols. Therefore, we design a blind detector for the reader to recover tag signals without not only all channel state information (CSI) but also the knowledge of RF (radio frequency) signal power and noise variance The optimal antenna selection algorithm is also provided. Finally, we study the performance of the proposed detector by simulation examples.","PeriodicalId":240036,"journal":{"name":"2018 IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131094694","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-06-01DOI: 10.1109/SPAWC.2018.8445989
P. Chandhar, D. Danev, E. Larsson
We study the uplink ergodic rate performance of the zero-forcing (ZF) receiver in a Massive multiple-input and multiple-output (MIMO) enabled drone communication system. Considering a 3D geometric model for line-of-sight (LoS) propagation, approximate but accurate analyses of lower and upper bounds on the uplink ergodic rate with estimated channel state information (CSI) are provided.
{"title":"On the Zero-Forcing Receiver Performance for Massive MIMO Drone Communications","authors":"P. Chandhar, D. Danev, E. Larsson","doi":"10.1109/SPAWC.2018.8445989","DOIUrl":"https://doi.org/10.1109/SPAWC.2018.8445989","url":null,"abstract":"We study the uplink ergodic rate performance of the zero-forcing (ZF) receiver in a Massive multiple-input and multiple-output (MIMO) enabled drone communication system. Considering a 3D geometric model for line-of-sight (LoS) propagation, approximate but accurate analyses of lower and upper bounds on the uplink ergodic rate with estimated channel state information (CSI) are provided.","PeriodicalId":240036,"journal":{"name":"2018 IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132863404","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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