2021 National Conference on Communications (NCC)最新文献_第3页

Fast DFT computation for signals with spectral support 具有谱支持的信号的快速DFT计算

2021 National Conference on Communications (NCC) Pub Date : 2021-07-27 DOI: 10.1109/NCC52529.2021.9530137

Charantej Reddy Pochimireddy, V. S. S. P. Tej, Aditya Siripuram

引用次数: 0

Joint Beamwidth and Number of Concurrent Beams Estimation in Downlink mmWave Communications 下行毫米波通信中联合波束宽度和并发波束数估计

2021 National Conference on Communications (NCC) Pub Date : 2021-07-27 DOI: 10.1109/NCC52529.2021.9530054

Nancy Varshney, S. De

引用次数: 1

Multi-Rate Kalman Filter for Carrier Phase Recovery in 200 Gbps PDM Coherent Optical Receivers 用于200gbps PDM相干光接收机载波相位恢复的多速率卡尔曼滤波器

2021 National Conference on Communications (NCC) Pub Date : 2021-07-27 DOI: 10.1109/NCC52529.2021.9530068

Wrivu Sanyal, Srishti Sharma, P. Krishnamurthy

引用次数: 0

Enhanced Transport Block Processing for 5G NR PUSCH Coverage Enhancement 5G NR PUSCH覆盖增强的增强传输块处理

2021 National Conference on Communications (NCC) Pub Date : 2021-07-27 DOI: 10.1109/NCC52529.2021.9530122

K. G, S. Kumawat, Saidhiraj Amuru, K. Kuchi

{"title":"Enhanced Transport Block Processing for 5G NR PUSCH Coverage Enhancement","authors":"K. G, S. Kumawat, Saidhiraj Amuru, K. Kuchi","doi":"10.1109/NCC52529.2021.9530122","DOIUrl":"https://doi.org/10.1109/NCC52529.2021.9530122","url":null,"abstract":"In 5G-New Radio (5G-NR), the available transmission power at the user is limited, and thus, the uplink transmissions define the coverage of 5G-NR systems. In this paper, we propose various solutions to enhance the uplink coverage of 5G-NR. Each payload of the user in 5G-NR is appended with a cyclic redundancy check (CRC) before channel encoding and transmission. We identify that the overhead with the CRC attached payload is as high as 40% in the cell-edge transmissions. To address this issue, we propose a mechanism to transmit the data over multiple slots with a single CRC attached to the payload. This method significantly reduces the CRC overhead and improves the cell-coverage. Through link-level evaluations, we show that this proposed method achieves 450 meters improvement in the cell-coverage for the VoIP scenario. Further, we identify the under-utilization of resources in the special slots in Time-Division-Duplex (TDD) systems. To reduce the reference signal overhead in the special slot transmissions, we have proposed allocating the resources by jointly considering the available symbols in special and uplink slots. Through link-level evaluations, we show that this proposed scheme achieves an improvement of close to 2 dB in the link performance and 400 meters improvement in the cell coverage of the eMBB scenario.","PeriodicalId":414087,"journal":{"name":"2021 National Conference on Communications (NCC)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122500262","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: 3

Order Statistics based Collision Analysis for PUFs 基于顺序统计的puf碰撞分析

2021 National Conference on Communications (NCC) Pub Date : 2021-07-27 DOI: 10.1109/NCC52529.2021.9530163

Girish Vaidya, C. Singh, T. Prabhakar

引用次数: 0

Optimal Deployment Strategy for Relay Based UAV Assisted Cooperative Communication for Emergency Applications 基于中继的无人机协同通信应急优化部署策略

2021 National Conference on Communications (NCC) Pub Date : 2021-07-27 DOI: 10.1109/NCC52529.2021.9530098

Nelapati Lava Prasad, C. Ekbote, Barathram Ramkumar

{"title":"Optimal Deployment Strategy for Relay Based UAV Assisted Cooperative Communication for Emergency Applications","authors":"Nelapati Lava Prasad, C. Ekbote, Barathram Ramkumar","doi":"10.1109/NCC52529.2021.9530098","DOIUrl":"https://doi.org/10.1109/NCC52529.2021.9530098","url":null,"abstract":"There has been a lot of research in the last decade on UAV assisted wireless communication networks. Due to its ability of fast deployment, it is seen as a potential solution to establish communication under emergency scenarios like natural disasters. The mobile nature of the UAVs offers a lot of flexibility, which can be harnessed to improve the QoS of a wireless communication network. In this paper UAV assisted cooperative communication to serve different user clusters distributed in a geographical location is considered. These user clusters do not have access to any conventional base station which is typically a scenario under natural disasters. Each cluster is served by two types of UAVs: cluster UAV which hovers on the top of the cluster centroid and relay UAV which relays information between a central base station (CBS) and cluster UAV. To achieve the required QoS, which is serving a maximum number of users with limited available power, two major parameters have to be optimized apart from other parameters. These are the height of the cluster UAV and trajectory of the relay UAV. To solve this problem, a three-step approach is considered in this paper. In the first step, an unsupervised learning algorithm is used to find the horizontal location parameters of cluster UAVs. Then using convex optimization to find the optimal height of the cluster UAV under power constraints and capacity requirement. Finally using a heuristic algorithm to find the optimal trajectory with minimum distance to be traveled by the relay UAVs. The wireless channel considered here is a simple line of sight (LoS) with a path loss. Computer simulations are performed to prove the validity of the proposed approach in comparison with random deployment.","PeriodicalId":414087,"journal":{"name":"2021 National Conference on Communications (NCC)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126643542","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: 2

Superimposed Pilot Based Channel Estimation for MIMO Coded FBMC Systems 基于叠加导频的MIMO编码FBMC系统信道估计

2021 National Conference on Communications (NCC) Pub Date : 2021-07-27 DOI: 10.1109/NCC52529.2021.9530048

Murali Krishna Pavuluri, Ram Prakash Sri Sai Seeram, V. Gadre, A. Jagannatham

引用次数: 0

BER Analysis of RIS Assisted Bidirectional Relay System with Physical Layer Network Coding RIS辅助的物理层网络编码双向中继系统的误码率分析

2021 National Conference on Communications (NCC) Pub Date : 2021-07-27 DOI: 10.1109/NCC52529.2021.9530159

J. Triphena, Vetrivel Chelian Thirumavalavan, T. S. Jayaraman

引用次数: 3

Empirical Study of Weight Initializations for COVID-19 Predictions in India 印度COVID-19预测权重初始化的实证研究

2021 National Conference on Communications (NCC) Pub Date : 2021-07-27 DOI: 10.1109/NCC52529.2021.9530160

M. Narkhede, Shubham S. Mane, P. Bartakke, M. Sutaone

{"title":"Empirical Study of Weight Initializations for COVID-19 Predictions in India","authors":"M. Narkhede, Shubham S. Mane, P. Bartakke, M. Sutaone","doi":"10.1109/NCC52529.2021.9530160","DOIUrl":"https://doi.org/10.1109/NCC52529.2021.9530160","url":null,"abstract":"The first case of the novel Coronavirus disease (COVID-19) in India was recorded on 30th January 2020 in Kerela and it has spread across all states in India. The prediction of the number of COVID-19 cases is important for government officials to plan various control strategies. This paper presents a weekly prediction of cumulative number of COVID-19 cases in India. A graded lockdown feature, which describes the status of lockdown, is derived and incorporated in the input dataset as one of the features. For prediction, this paper proposes a model which is a stacking of different deep neural networks which have recurrent connections. Vanishing gradients is a common issue with such networks with recurrent connections. Proper weight initialization of the network is one of the solutions to overcome the vanishing gradients problem. Hence, the weight distributions and convergence performance of some state-of-the-art weight initialization techniques have been analyzed in this paper. The proposed model is initialized with the technique which would aid to avoid the vanishing gradients problem and converge faster to a lower loss. This paper also provides a comparison of the proposed model for univariate and multivariate prediction with other prediction models such as statistical model - Auto-Regressive Integrated Moving Average (ARIMA), and deep learning architectures long short term memory (LSTM), bidirectional LSTM (bi-LSTM) and gated recurrent unit (GRU). The results demonstrate that the proposed model gives better prediction results than these models.","PeriodicalId":414087,"journal":{"name":"2021 National Conference on Communications (NCC)","volume":"112 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122820347","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

Two-Way Array Factor Supported by Thinning Strategy for An Improved Radar Performance 通过稀化策略支持双向阵列因子以提高雷达性能

2021 National Conference on Communications (NCC) Pub Date : 2021-07-27 DOI: 10.1109/NCC52529.2021.9530057

Rathod Rajender, Prof. K. R. Subhashini, B. P. Kumar

引用次数: 0