2020 IEEE 21st International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)最新文献_第10页

Dependability Enhancements for Transmission over MISO TWDP Fading Channels MISO TWDP衰落信道传输的可靠性增强

2020 IEEE 21st International Workshop on Signal Processing Advances in Wireless Communications (SPAWC) Pub Date : 2020-05-01 DOI: 10.1109/spawc48557.2020.9154230

Stefan Schwarz, M. Rupp

引用次数: 1

Capacity Improvement in Wideband Reconfigurable Intelligent Surface-Aided Cell-Free Network 宽带可重构智能表面辅助无蜂窝网络的容量改进

2020 IEEE 21st International Workshop on Signal Processing Advances in Wireless Communications (SPAWC) Pub Date : 2020-05-01 DOI: 10.1109/SPAWC48557.2020.9154244

Zijian Zhang, L. Dai

{"title":"Capacity Improvement in Wideband Reconfigurable Intelligent Surface-Aided Cell-Free Network","authors":"Zijian Zhang, L. Dai","doi":"10.1109/SPAWC48557.2020.9154244","DOIUrl":"https://doi.org/10.1109/SPAWC48557.2020.9154244","url":null,"abstract":"Thanks to the strong ability against the inter-cell interference, cell-free network has been considered as a promising technique to improve the network capacity of future wireless systems. However, for further capacity enhancement, it requires to deploy more base stations (BSs) with high cost and power consumption. To address the issue, inspired by the recently proposed technique called reconfigurable intelligent surface (RIS), we propose the concept of RIS-aided cell-free network to improve the network capacity with low cost and power consumption. Then, for the proposed RIS-aided cell-free network in the typical wideband scenario, we formulate the joint precoding design problem at the BSs and RISs to maximize the network capacity. Due to the non-convexity and high complexity of the formulated problem, we develop an alternating optimization algorithm to solve this challenging problem. Note that most of the considered scenarios in existing works are special cases of the general scenario in this paper, and the proposed joint precoding framework can also serve as a general solution to maximize the capacity in most of existing RIS-aided scenarios. Finally, simulation results verify that, compared with the conventional cell-free network, the network capacity of the proposed scheme can be improved significantly.","PeriodicalId":172835,"journal":{"name":"2020 IEEE 21st International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130842641","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}

引用次数: 34

Lifetime Maximization for UAV-assisted Data Gathering Networks in the Presence of Jamming 干扰下无人机辅助数据采集网络的寿命最大化

2020 IEEE 21st International Workshop on Signal Processing Advances in Wireless Communications (SPAWC) Pub Date : 2020-05-01 DOI: 10.1109/spawc48557.2020.9154318

A. Rahmati, Seyyedali Hosseinalipour, Ismail Güvenç, H. Dai, Arupjyoti Bhuyan

{"title":"Lifetime Maximization for UAV-assisted Data Gathering Networks in the Presence of Jamming","authors":"A. Rahmati, Seyyedali Hosseinalipour, Ismail Güvenç, H. Dai, Arupjyoti Bhuyan","doi":"10.1109/spawc48557.2020.9154318","DOIUrl":"https://doi.org/10.1109/spawc48557.2020.9154318","url":null,"abstract":"Deployment of unmanned aerial vehicles (UAVs) is recently getting significant attention due to a variety of practical use cases, such as surveillance, data gathering, and commodity delivery. Since UAVs are powered by batteries, energy efficient communication is of paramount importance. In this paper, we investigate the problem of lifetime maximization of a UAV-assisted network in the presence of multiple sources of interference, where the UAVs are deployed to collect data from a set of wireless sensors. We demonstrate that the placement of the UAVs play a key role in prolonging the lifetime of the network since the required transmission powers of the UAVs are closely related to their locations in space. In the proposed scenario, the UAVs transmit the gathered data to a primary UAV called leader, which is in charge of forwarding the data to the base station (BS) via a backhaul UAV network. We deploy tools from spectral graph theory to tackle the problem due to its high non-convexity. Simulation results demonstrate that our proposed method can significantly improve the lifetime of the UAV network.","PeriodicalId":172835,"journal":{"name":"2020 IEEE 21st International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133713846","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}

引用次数: 4

Energy-Efficient Ultra-Dense Network using Deep Reinforcement Learning 基于深度强化学习的节能超密集网络

2020 IEEE 21st International Workshop on Signal Processing Advances in Wireless Communications (SPAWC) Pub Date : 2020-05-01 DOI: 10.1109/spawc48557.2020.9154261

Hyungyu Ju, Seungnyun Kim, Youngjoon Kim, Hyojin Lee, B. Shim

引用次数: 4

Hyper Binning for Distributed Function Coding 分布式函数编码的超级分组

2020 IEEE 21st International Workshop on Signal Processing Advances in Wireless Communications (SPAWC) Pub Date : 2020-05-01 DOI: 10.1109/spawc48557.2020.9154232

Derya Malak, M. Médard

引用次数: 3

Identifying Unused RF Channels Using Least Matching Pursuit 使用最小匹配追踪识别未使用的射频信道

2020 IEEE 21st International Workshop on Signal Processing Advances in Wireless Communications (SPAWC) Pub Date : 2020-05-01 DOI: 10.1109/SPAWC48557.2020.9154255

Emre Gönültaş, Milad Taghavi, Sweta Soni, A. Apsel, Christoph Studer

引用次数: 1

Joint Channel Coding and Modulation via Deep Learning 基于深度学习的联合信道编码和调制

2020 IEEE 21st International Workshop on Signal Processing Advances in Wireless Communications (SPAWC) Pub Date : 2020-05-01 DOI: 10.1109/spawc48557.2020.9153885

Yihan Jiang, Hyeji Kim, Himanshu Asnani, Sreeram Kannan, Sewoong Oh, P. Viswanath

引用次数: 10

Deep Learning Based Resource Allocation: How Much Training Data is Needed? 基于深度学习的资源分配:需要多少训练数据?

2020 IEEE 21st International Workshop on Signal Processing Advances in Wireless Communications (SPAWC) Pub Date : 2020-05-01 DOI: 10.1109/spawc48557.2020.9154298

Karl-Ludwig Besser, Bho Matthiesen, A. Zappone, Eduard Axel Jorswieck

引用次数: 3

Delay-locking: Unraveling Multiple Unknown Signals in Unknown Multipath 延迟锁定:在未知多路径中解开多个未知信号

2020 IEEE 21st International Workshop on Signal Processing Advances in Wireless Communications (SPAWC) Pub Date : 2020-05-01 DOI: 10.1109/SPAWC48557.2020.9154338

M. S. Ibrahim, N. Sidiropoulos

{"title":"Delay-locking: Unraveling Multiple Unknown Signals in Unknown Multipath","authors":"M. S. Ibrahim, N. Sidiropoulos","doi":"10.1109/SPAWC48557.2020.9154338","DOIUrl":"https://doi.org/10.1109/SPAWC48557.2020.9154338","url":null,"abstract":"Given a mixture of co-channel user signals subject to frequency-selective multipath, sensed through an array of co-located antennas, how can we recover the user signals? This is a difficult problem, especially when some of the user signals are much weaker than others, and we know little about the transmitted signal properties. The setup is relevant in a number of settings, including non-cooperative communications, signal intelligence, passive radar using illuminators of opportunity, and convolutive speech and audio separation. This paper considers the problem of unsupervised signal recovery in unknown multipath and (possibly strong) multiuser interference. Leveraging the fact that multiple independently faded copies of each signal are received through distinct paths at different times, this paper shows that relative path delays and the user signals can be identified via canonical correlation analysis (CCA). CCA is a powerful statistical learning tool that can efficiently estimate a common subspace even in the presence of noise and strong cochannel interference. The proposed approach provides rigorous recovery guarantees, can tolerate strong co-channel interference and low signal-to-noise ratio, and is computationally tractable for practical implementation. Simulations reveal that the proposed approach achieves much better performance than independent component analysis, which is the only baseline that works under similar assumptions in this setting.","PeriodicalId":172835,"journal":{"name":"2020 IEEE 21st International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)","volume":"23 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115601167","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}

引用次数: 1

Resource Management and Fairness for Federated Learning over Wireless Edge Networks 无线边缘网络上联邦学习的资源管理与公平性

2020 IEEE 21st International Workshop on Signal Processing Advances in Wireless Communications (SPAWC) Pub Date : 2020-05-01 DOI: 10.1109/spawc48557.2020.9154285

Ravikumar Balakrishnan, M. Akdeniz, S. Dhakal, N. Himayat

引用次数: 14