2023 IEEE Wireless Communications and Networking Conference (WCNC)最新文献_第8页

Hybrid Beamforming for Outage-Minimization in Frequency Selective Millimeter-Wave Channels 频率选择毫米波信道中最小化中断的混合波束形成

2023 IEEE Wireless Communications and Networking Conference (WCNC) Pub Date : 2023-03-01 DOI: 10.1109/WCNC55385.2023.10118705

Sota Uchimura, G. Abreu, K. Ishibashi

引用次数: 0

UAV-Assisted Downlink-and-Uplink Communication in the Presence of Multiple Malicious Jammers 存在多个恶意干扰机的无人机辅助上下行通信

2023 IEEE Wireless Communications and Networking Conference (WCNC) Pub Date : 2023-03-01 DOI: 10.1109/WCNC55385.2023.10118771

Zhiyu Huang, Zhichao Sheng, A. Nasir, Cheng Yin, Antonino Masaracchia

引用次数: 1

LSTM-based Path Selection for Successive Cancellation List Decoding for Short Polar Codes 基于lstm的短极码逐次消列译码路径选择

2023 IEEE Wireless Communications and Networking Conference (WCNC) Pub Date : 2023-03-01 DOI: 10.1109/WCNC55385.2023.10118892

Yuzhou Shang, Zhaoyang Zhang, Zhaohui Yang

{"title":"LSTM-based Path Selection for Successive Cancellation List Decoding for Short Polar Codes","authors":"Yuzhou Shang, Zhaoyang Zhang, Zhaohui Yang","doi":"10.1109/WCNC55385.2023.10118892","DOIUrl":"https://doi.org/10.1109/WCNC55385.2023.10118892","url":null,"abstract":"Polar code is envisioned as a promising candidate for ultra-reliable low-latency communications (URLLC) in fifth-generation (5G) communication and beyond. To decode polar code, a successive cancellation list (SCL) decoder with a large list size can provide near maximum likelihood (ML) decoding performance. However, a large list size will lead to unacceptable spatial complexity, making it impractical. When the list size is small, although the complexity is low, its performance still needs to be improved. The main reason is that the sequence features implied in log-likelihood ratio (LLR) sequences are lost during calculating path metrics used for path selection. Because of the excellent sequence feature extraction ability of the long short-term memory (LSTM) network, we propose an LSTM-based path selection mechanism to replace the path metric-based path selection mechanism in SCL. In our proposed scheme, the LSTM network selects the surviving path according to the LLR sequences corresponding to the current paths. Simulation results show the effectiveness of the proposed LSTM-based path selection mechanism.","PeriodicalId":259116,"journal":{"name":"2023 IEEE Wireless Communications and Networking Conference (WCNC)","volume":"153 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134345497","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: 0

Deep Residual Neural Network Decoder for Sparse Code Multiple Access 稀疏码多址深度残差神经网络解码器

2023 IEEE Wireless Communications and Networking Conference (WCNC) Pub Date : 2023-03-01 DOI: 10.1109/WCNC55385.2023.10118714

Sara Norouzi, B. Champagne

引用次数: 0

On the Performance of an Indoor Open-Source 5G Standalone Deployment 室内开源5G单机部署性能研究

2023 IEEE Wireless Communications and Networking Conference (WCNC) Pub Date : 2023-03-01 DOI: 10.1109/WCNC55385.2023.10118776

Arash Sahbafard, R. Schmidt, F. Kaltenberger, A. Springer, Hans-Peter Bernhard

{"title":"On the Performance of an Indoor Open-Source 5G Standalone Deployment","authors":"Arash Sahbafard, R. Schmidt, F. Kaltenberger, A. Springer, Hans-Peter Bernhard","doi":"10.1109/WCNC55385.2023.10118776","DOIUrl":"https://doi.org/10.1109/WCNC55385.2023.10118776","url":null,"abstract":"5G, the latest generation of cellular technology, targets not only enhanced data rates but also new applications which require, e.g., ultra-reliable low latency communication. Verticals like industrial automation or automotive, which want to make use of this type of wireless services, need experimental deployments to test the performance of 5G in various modes and environments for their use cases. Due to the ongoing stan-dardization process, experimental 5G networks based on open-source frameworks are especially well suited, as they provide the possibility to easily implement new features introduced by the yearly 5G standard releases. We thus present an experimental 5G standalone deployment, based on the OpenAirInterface, which is an open-source framework, that is being used both, commercially and for academic purposes. We evaluate coverage parameters including reference signal received power, reference signal received quality, and signal to interference and noise ratio both for single user and multiple user scenarios. The measured downlink data rate reaches up to 390 Mbps at a bandwidth of 60 MHz, which is close to the achievable theoretical value. The average latency both for uplink and downlink was measured to be 19 ms for the round trip time, while the minimum latency value was 6 ms, which is acceptable for many application.","PeriodicalId":259116,"journal":{"name":"2023 IEEE Wireless Communications and Networking Conference (WCNC)","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115784436","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: 0

Interference-Aware Based Resource Configuration Optimization for URLLC Grant-Free Transmission 基于干扰感知的URLLC免授权传输资源配置优化

2023 IEEE Wireless Communications and Networking Conference (WCNC) Pub Date : 2023-03-01 DOI: 10.1109/WCNC55385.2023.10118859

Xiao Zhang, Tao Peng, Yichen Guo, Wenbo Wang

{"title":"Interference-Aware Based Resource Configuration Optimization for URLLC Grant-Free Transmission","authors":"Xiao Zhang, Tao Peng, Yichen Guo, Wenbo Wang","doi":"10.1109/WCNC55385.2023.10118859","DOIUrl":"https://doi.org/10.1109/WCNC55385.2023.10118859","url":null,"abstract":"The fifth-generation (5G) wireless network is expected to support emerging applications requiring ultra high reliability and low latency, such as self-driving cars, factory automation (industry 4.0), and smart grid, known as ultra-reliable and low-latency communications (URLLC). Uplink grant-free (GF) transmission is considered as a promising technology for supporting the rigorous requirements of URLLC by saving the time of requesting/waiting for the scheduling grant and supporting the K-repetition transmission. Besides, the intercell interference (ICI) in uplink multi-cell GF transmission is another critical issue to be solved. In this paper, we propose an interference-aware based radio resource configuration framework of URLLC uplink GF transmission which means that we can configure the radio resources by utilizing the available interference information to mitigate the impact of severe ICI on the transmission performance in URLLC. Numerical results show that, the proposed scheme can greatly improve the total transmission reliability and has higher scalability and robustness compared to prior art solutions under the condition of satisfying the transmission delay requirement and resource constraint.","PeriodicalId":259116,"journal":{"name":"2023 IEEE Wireless Communications and Networking Conference (WCNC)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123434826","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: 0

Investigating the Data Rate of Intelligent Reflecting Surfaces with Mutual Coupling and EMI 具有互耦合和电磁干扰的智能反射面数据速率研究

2023 IEEE Wireless Communications and Networking Conference (WCNC) Pub Date : 2023-03-01 DOI: 10.1109/WCNC55385.2023.10118853

S.I. Hassouna, M. Jamshed, M. Rehman, M. Imran, Q. Abbasi

{"title":"Investigating the Data Rate of Intelligent Reflecting Surfaces with Mutual Coupling and EMI","authors":"S.I. Hassouna, M. Jamshed, M. Rehman, M. Imran, Q. Abbasi","doi":"10.1109/WCNC55385.2023.10118853","DOIUrl":"https://doi.org/10.1109/WCNC55385.2023.10118853","url":null,"abstract":"In wireless communications, various study findings have shown that a reconfigurable intelligent surface (RIS) may successfully alter wireless wave parameters like phase and amplitude without requiring sophisticated signal processing and decoding at the receiver. However, it is necessary to take into account designing the surface under a realistic frequency selective fading channel. Because of this, we chose a wideband OFDM multi-user communication system based on an actual RIS setup that considers mutual coupling (MC) and electromagnetic interference (EMI). We used Hadamard matrix in the pilot transmissions to estimate the uncontrollable and the controllable channels. The best pilot configuration was selected to initialize the gradient descent method in order to calculate the optimal reflection coefficient that maximize the data rate for each user in the presence of EMI and MC. Simulation results revealed that the data rate has been degraded when considering EMI and MC for around 30 Mbits/s for each user. This confirms that both EMI and MC must be given considerable attention in our research due to their inevitable effects on the system performance.","PeriodicalId":259116,"journal":{"name":"2023 IEEE Wireless Communications and Networking Conference (WCNC)","volume":"135 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124448146","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: 0

DRL Approach for Spectral-Energy Trade-off in RIS-assisted Full-duplex Multi-user MIMO Systems ris辅助全双工多用户MIMO系统频谱能量权衡的DRL方法

2023 IEEE Wireless Communications and Networking Conference (WCNC) Pub Date : 2023-03-01 DOI: 10.1109/WCNC55385.2023.10118961

Sravani Kurma, Keshav Singh, P. Sharma, Chih-Peng Li

{"title":"DRL Approach for Spectral-Energy Trade-off in RIS-assisted Full-duplex Multi-user MIMO Systems","authors":"Sravani Kurma, Keshav Singh, P. Sharma, Chih-Peng Li","doi":"10.1109/WCNC55385.2023.10118961","DOIUrl":"https://doi.org/10.1109/WCNC55385.2023.10118961","url":null,"abstract":"Reconfigurable intelligent surface (RIS) is a break-through technology that enhances both energy efficiency (EE) and spectrum efficiency (SE) by artificial reconfiguration of the electromagnetic waves utilizing the reflective property of the metasurface elements. This work studies the optimization of the SE-EE trade-off using the deep reinforcement learning (DRL) algorithm in a RIS-assisted full-duplex multi-user multiple-input multiple-output (MIMO) communication system. We use partial channel state information to control the overhead signaling requirement and demand for energy supply to the system. We consider resource efficiency (RE), in which the RIS’s phase-shift design and power allocation at the nodes (i.e., node in BS in downlink (DL) and user in uplink (UL)) are jointly optimized, with the goal of investigating the SE-EE trade-off of the considered system using an appropriate performance metric. We adopt a DRL-based approach for the proposed system to tackle the challenges involved in optimization due to time-varying channels and exploitation in real-time applications. Additionally, simulation outcomes exemplify the efficiency and swift conver-gence rate of the proposed algorithm and demonstrate how different system characteristics, including co-channel interference (CCI), residual self-interference (RSI), and the number of RIS reflecting elements, affect the system’s performance.","PeriodicalId":259116,"journal":{"name":"2023 IEEE Wireless Communications and Networking Conference (WCNC)","volume":"195 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121853117","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: 0

LLHR: Low Latency and High Reliability CNN Distributed Inference for Resource-Constrained UAV Swarms 基于低延迟、高可靠性的无人机群CNN分布式推理

2023 IEEE Wireless Communications and Networking Conference (WCNC) Pub Date : 2023-03-01 DOI: 10.1109/WCNC55385.2023.10118908

Marwan Dhuheir, A. Erbad, Sinan Sabeeh

{"title":"LLHR: Low Latency and High Reliability CNN Distributed Inference for Resource-Constrained UAV Swarms","authors":"Marwan Dhuheir, A. Erbad, Sinan Sabeeh","doi":"10.1109/WCNC55385.2023.10118908","DOIUrl":"https://doi.org/10.1109/WCNC55385.2023.10118908","url":null,"abstract":"Recently, Unmanned Aerial Vehicles (UAVs) have shown impressive performance in many critical applications, such as surveillance, search and rescue operations, environmental monitoring, etc. In many of these applications, the UAVs capture images as well as other sensory data and then send the data processing requests to remote servers. Nevertheless, this approach is not always practical in real-time-based applications due to unstable connections, limited bandwidth, limited energy, and strict end-to-end latency. One promising solution is to divide the inference requests into subtasks that can be distributed among UAVs in a swarm based on the available resources. Moreover, these tasks create intermediate results that need to be transmitted reliably as the swarm moves to cover the area. Our system model deals with real-time requests, aiming to find the optimal transmission power that guarantees higher reliability and low latency. We formulate the Low Latency and High-Reliability (LLHR) distributed inference as an optimization problem, and due to the complexity of the problem, we divide it into three subproblems. In the first subproblem, we find the optimal transmit power of the connected UAVs with guaranteed transmission reliability. The second subproblem aims to find the optimal positions of the UAVs in the grid, while the last subproblem finds the optimal placement of the CNN layers in the available UAVs. We conduct extensive simulations and compare our work to two baseline models demonstrating that our model outperforms the competing models.","PeriodicalId":259116,"journal":{"name":"2023 IEEE Wireless Communications and Networking Conference (WCNC)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122080562","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: 0

A Two-Stage Majorization-Minimization Based Beamforming for Downlink Massive MIMO 基于两级最大化最小化的下行海量MIMO波束形成

2023 IEEE Wireless Communications and Networking Conference (WCNC) Pub Date : 2023-03-01 DOI: 10.1109/WCNC55385.2023.10118795

Qian Xu, Jianyong Sun

引用次数: 0