Wireless Personal Communications最新文献_第4页

A Novel Noise Variance and SNR Estimator for OFDM-IM Systems over Nakagami-m Fading Channel 中上消隐信道上 OFDM-IM 系统的新型噪声方差和信噪比估计器

IF 2.2 4区计算机科学

Wireless Personal Communications Pub Date : 2024-08-29 DOI: 10.1007/s11277-024-11523-3

Bandi Narasimha Rao, Anuradha Sundru

{"title":"A Novel Noise Variance and SNR Estimator for OFDM-IM Systems over Nakagami-m Fading Channel","authors":"Bandi Narasimha Rao, Anuradha Sundru","doi":"10.1007/s11277-024-11523-3","DOIUrl":"https://doi.org/10.1007/s11277-024-11523-3","url":null,"abstract":"Noise power (Variance) and signal-to-noise ratio (SNR) are the key performance evaluation parameters of wireless communication systems. In this article, a novel algorithm is proposed that effectively estimates the noise power and SNR for orthogonal frequency division multiplexing with index modulation (OFDM-IM) systems operating over a time-varying Nakagami-m fading channel. The inactive subcarriers in each group of the OFDM-IM system simplify the analysis and lead to noise power estimation under ideal as well as realistic conditions of the wireless channel. At the receiver side, by using the proposed algorithm the position of inactive subcarriers can be identified effectively, as these positions are dynamic in the OFDM-IM system. Another simplified algorithm is proposed at the transmitter side for effectively transmitting the inactive subcarriers. The noise power on the sub-channel, average noise power, and average SNR are calculated. Differential noise power can also be estimated to track the channel variations effectively. None of the noise power and SNR estimators are available in the literature for the OFDM-IM systems. Hence, the performance of the proposed estimator is compared with the noise power and SNR estimators available for the classical OFDM systems. Moreover, the performance is also tested in terms of normalized mean square error (NMSE) using extensive computer simulations. The proposed estimator achieves significant improvements in spectral efficiency, energy efficiency, and also achieves much lower computational complexity in contrast to the estimators for the classical OFDM systems.","PeriodicalId":23827,"journal":{"name":"Wireless Personal Communications","volume":"8 1","pages":""},"PeriodicalIF":2.2,"publicationDate":"2024-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142188863","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Performance Analysis of NR Polar Codes at Short Information Blocks for Control Channels 短信息块控制信道的 NR 极性编码性能分析

IF 2.2 4区计算机科学

Wireless Personal Communications Pub Date : 2024-08-27 DOI: 10.1007/s11277-024-11530-4

Tirthadip Sinha, Jaydeb Bhaumik

{"title":"Performance Analysis of NR Polar Codes at Short Information Blocks for Control Channels","authors":"Tirthadip Sinha, Jaydeb Bhaumik","doi":"10.1007/s11277-024-11530-4","DOIUrl":"https://doi.org/10.1007/s11277-024-11530-4","url":null,"abstract":"One important innovation in information and coding theory is polar code, which delivers capacity attaining error correction performance varying code rates and block lengths. In recent times, polar codes are preferred to offer channel coding in the physical control channels of the 5G (5th Generation) wireless standard by 3GPP (Third Generation Partnership Project) New Radio (NR) group. Being a part of the physical layer, Channel coding plays key role in deciding latency and reliability of a communication system. However, the error correction performance degrades with decreased message lengths. 5G NR requires channel codes with low rates, very low error floors with short message lengths and low latency in coding process. In this work, Distributed Cyclic Redundancy Check Aided polar (DCA-polar) code along with Cyclic Redundancy Check Aided polar (CA-polar) code, the two variant of polar codes have been proposed which provide significant error-correction performance in the regime of short block lengths and enable early termination of decoding processes. While CRC bits improve the performance of SCL (successive cancellation list) decoding by increasing distance properties, distributed CRC bits permit path trimming and early-termination of the decoding process. The design can reduce the decoding latency and energy consumption of hardware, which is crucial for mobile applications like 5G. The work also considers the performance analysis of NR polar codes over AWGN (Additive White Gaussian Noise) for short information block lengths at low code rates in the uplink and downlink control channels using SNR (Signal to Noise Ratio) and FAR (False Alarm Rate) as the performance measures. Simulation results illustrate different trade-offs between error-correction and detection performances comparing proposed NR polar coding schemes.","PeriodicalId":23827,"journal":{"name":"Wireless Personal Communications","volume":"35 1","pages":""},"PeriodicalIF":2.2,"publicationDate":"2024-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142188865","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Delay-Aware and Energy-Efficient Task Scheduling Using Strength Pareto Evolutionary Algorithm II in Fog-Cloud Computing Paradigm 在雾云计算范式中使用强度帕累托进化算法 II 进行延迟感知和高能效任务调度

IF 2.2 4区计算机科学

Wireless Personal Communications Pub Date : 2024-08-26 DOI: 10.1007/s11277-024-11510-8

Atousa Daghayeghi, Mohsen Nickray

{"title":"Delay-Aware and Energy-Efficient Task Scheduling Using Strength Pareto Evolutionary Algorithm II in Fog-Cloud Computing Paradigm","authors":"Atousa Daghayeghi, Mohsen Nickray","doi":"10.1007/s11277-024-11510-8","DOIUrl":"https://doi.org/10.1007/s11277-024-11510-8","url":null,"abstract":"The exponential growth of technology and advent of the Internet of Things (IoT) paradigm have caused large volumes of data to be continuously generated from the intelligent devices. One common feature of these devices is their limited capabilities, hence, they are not able to process large volumes of generated data. However, the processing of these data in the cloud leads to high latency and high power consumption. Hence, providing services to the latency-sensitive IoT applications in the cloud is a challenging issue. Fog computing as a complement to the cloud, allows data to be processed near IoT devices. However, the resources in the fog layer are heterogeneous. Thus, the proper distribution of tasks among heterogeneous nodes while serving the task within the intended deadline is of great importance. In this paper, we have presented a task scheduling model in the fog-cloud paradigm, which formulates the task scheduling problem as a multi-objective optimization problem with the aim of minimizing service response time and the total energy consumption of the system, while considers deadline and load balancing constraints. Since the problem of task scheduling is np-hard, we have proposed a modified version of Strength Pareto Evolutionary Algorithm II (SPEA-II) with customized operators to achieve the optimal scheduling strategy. The experimental results reveal that the proposed scheme outperforms some benchmarking algorithms in terms of service response time and energy consumption. Furthermore, by optimal distribution of tasks among heterogeneous computing nodes, it leads to better resource utilization and improvement in the percentage of missed-deadline tasks.","PeriodicalId":23827,"journal":{"name":"Wireless Personal Communications","volume":"23 1","pages":""},"PeriodicalIF":2.2,"publicationDate":"2024-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142188866","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An Intersection-Based Traffic Awareness Routing Protocol in VANETs Using Deep Reinforcement Learning 使用深度强化学习的基于交叉路口的 VANET 交通感知路由协议

IF 2.2 4区计算机科学

Wireless Personal Communications Pub Date : 2024-08-22 DOI: 10.1007/s11277-024-11528-y

Ya-Jing Song, Chin-En Yen, Yu-Hsuan Hsieh, Chunghui Kuo, Ing-Chau Chang

{"title":"An Intersection-Based Traffic Awareness Routing Protocol in VANETs Using Deep Reinforcement Learning","authors":"Ya-Jing Song, Chin-En Yen, Yu-Hsuan Hsieh, Chunghui Kuo, Ing-Chau Chang","doi":"10.1007/s11277-024-11528-y","DOIUrl":"https://doi.org/10.1007/s11277-024-11528-y","url":null,"abstract":"In Vehicular Ad Hoc Networks, reliable information transmission relies on an effective routing strategy. Most existing reinforcement learning-based routing methods are ineffective in dynamic network environments and cannot prevent inefficient network routing. Efficient network routing can be controlled by network traffic management, so this paper proposes an intelligent routing strategy based on Deep Reinforcement Learning to enhance routing performance. By integrating intersection forwarding and traffic awareness capabilities, this paper addresses the problem of local optimality and utilizes the Deep Q Network to make intersection forwarding decisions. The state space of this strategy consists of intersection nodes, road information between intersections, and forwarding packet information. When a vehicle node carrying a packet approaches an intersection based on the state space, the intersection node uses a neural network to select the optimal next-hop relay intersection from past learning experiences. It generates appropriate vehicle routing decisions based on information from the current and candidate relay intersections. Finally, we use the real taxi trajectory data of Beijing City to conduct extensive simulation experiments. Simulation results and analysis demonstrate that the proposed strategy outperforms related research regarding higher average packet delivery ratio, shorter average end-to-end delay, and lower average overhead ratio in dense and sparse traffic periods under real road environments. Consequently, this strategy provides efficient and reliable message transmission services for Vehicular Ad Hoc Networks.","PeriodicalId":23827,"journal":{"name":"Wireless Personal Communications","volume":"60 1","pages":""},"PeriodicalIF":2.2,"publicationDate":"2024-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142188868","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Statistical Machine and Deep Learning Methods for Forecasting of Covid-19 用于预测 Covid-19 的统计机器和深度学习方法

IF 2.2 4区计算机科学

Wireless Personal Communications Pub Date : 2024-08-21 DOI: 10.1007/s11277-024-11518-0

Mamta Juneja, Sumindar Kaur Saini, Harleen Kaur, Prashant Jindal

{"title":"Statistical Machine and Deep Learning Methods for Forecasting of Covid-19","authors":"Mamta Juneja, Sumindar Kaur Saini, Harleen Kaur, Prashant Jindal","doi":"10.1007/s11277-024-11518-0","DOIUrl":"https://doi.org/10.1007/s11277-024-11518-0","url":null,"abstract":"Since the outbreak of the novel coronavirus, Covid-19 has continuously spread across the globe briskly. Countries have undertaken different types of measures to blunt this spread varying from lockdowns to curfews to social distancing to compulsory wearing of protective kits, which has been sporadically fruitful. However, despite these stringent measures, which have their own pitfalls, scientists across the globe have been struggling to develop a suitable mathematical model that could depict the existing disease spreading pattern and also predict a trend of numbers in the forthcoming months or years. In this paper, popularly used mathematical models including Polynomial Regression, Auto Regressive Integrated Moving Average (ARIMA) and Deep learning techniques such as Recurrent Neural Network (RNN) have been explored for 5 countries badly affected by this virus. The models were tested from 16th May, 2020 till 22nd May, 2020 and used for predicting future cases and deaths from 23rd May, 2020 to 30th June, 2020. The current research primarily focuses on forecasting the behaviour of total confirmed cases and deaths in each country and further analysing the performance parameters such as Mean Squared Error, Root Mean Squared Error (RMSE) and Mean Absolute Percentage Error (MAPE). It has been observed that the polynomial regression model provides a best fit solution at par with actual numbers of confirmed and death cases for India by producing minimum RMSE and MAPE. For South Korea and Italy, the ARIMA and RNN models have shown fidelity with actual numbers. RNN model has shown conformity with US numbers while ARIMA model has found closeness to United Kingdom data. The purpose to perform data analysis is to measure the performance metrics by using different techniques and depict the pattern for each country. Furthermore, the paper also highlights the future predictions for every country to control the spread of disease, save lives, avoid health systems breakdowns and benefit the researchers in this field.","PeriodicalId":23827,"journal":{"name":"Wireless Personal Communications","volume":"20 1","pages":""},"PeriodicalIF":2.2,"publicationDate":"2024-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142188867","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

On Use of LEO-GEO Hybrid Model for Optimized Data Traffic Performance 关于使用 LEO-GEO 混合模型优化数据流量性能

IF 2.2 4区计算机科学

Wireless Personal Communications Pub Date : 2024-08-21 DOI: 10.1007/s11277-024-11527-z

Hany Ali, Mohamed Abouelatta, Khaled Y. Youssef

{"title":"On Use of LEO-GEO Hybrid Model for Optimized Data Traffic Performance","authors":"Hany Ali, Mohamed Abouelatta, Khaled Y. Youssef","doi":"10.1007/s11277-024-11527-z","DOIUrl":"https://doi.org/10.1007/s11277-024-11527-z","url":null,"abstract":"As the world is moving towards the Internet of Things (IoT), more data rate is required with wider coverage and small delay. While the 5G supports the needed increased data rate, it suffers from a decreased coverage per tower. In contrast, the low population areas such as deserts, oceans, forests, and mountains contain most of the world's transportation such as highways, ships, and planes as well as large areas of agricultural lands that are all not supported by 5G. Consequently, LEO satellite constellations have been introduced to cover the earth's surface with a high-speed data rate. Each LEO satellite constellation requires 4000 + satellites and at least one ground base station (BS) for control, tracking, telemetry, and remote sensing functions. However, to support the needed downlink high-speed data rate demand, the LEO satellite constellation must add many BSs to increase the uplink data rate. As a result, the GEO communication satellites face great competitors in their market. This paper introduces the hybrid LEO-GEO satellite communication system to change this competition into cooperation that benefits both systems. In the hybrid LEO-GEO satellite communication system, this paper proposes maximizing the downlink utilization of both LEO and GEO satellites by the traffic-aware Artificial Expectation Detection (AED) technique. In such a technique, the trending multicast data choose the GEO link while the unicast data and control data choose the LEO link to maximize the downlink utilization efficiency. Our results show that using AED is power efficient and delay efficient while increasing the data rate by (100)x to (100k)x or decreasing the needed number of LEO BSs.","PeriodicalId":23827,"journal":{"name":"Wireless Personal Communications","volume":"19 1","pages":""},"PeriodicalIF":2.2,"publicationDate":"2024-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142188873","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An Efficient Hierarchical User Grouping and Successive Group Search Approximation Based Beam-Forming Method for IRS-Aided Millimeter-Wave Networks with NOMA 基于分层用户分组和连续分组搜索近似的高效波束形成方法，适用于具有 NOMA 的 IRS 辅助毫米波网络

IF 2.2 4区计算机科学

Wireless Personal Communications Pub Date : 2024-08-21 DOI: 10.1007/s11277-024-11483-8

Alajangi Ramakrishna, K. Karuna Kumari

{"title":"An Efficient Hierarchical User Grouping and Successive Group Search Approximation Based Beam-Forming Method for IRS-Aided Millimeter-Wave Networks with NOMA","authors":"Alajangi Ramakrishna, K. Karuna Kumari","doi":"10.1007/s11277-024-11483-8","DOIUrl":"https://doi.org/10.1007/s11277-024-11483-8","url":null,"abstract":"The combination of non-orthogonal multiple access (NOMA) and intelligent reflective surface (IRS) is an efficient solution to significantly increase the energy efficiency of the wireless communication system. This paper considers a downlink IRS-based Millimeter wave (mmWave) massive Multiple-Input Multiple-Output (MIMO)-NOMA system. In this work, a two-layer hierarchical AGglomerative NESting- DIvisie ANAlysis Clustering Algorithm (AGNES-DIANA) user grouping (2L-HAD-UG) is proposed to group users. In the proposed 2L-HAD-UG, the first layer will use the AGNES algorithm to efficiently group the users into different clusters. After the first level of clustering, some user groups are larger than others, and perhaps some users with weakly correlated channels are assigned to the same groups. To address these concerns, the large user groups are divided into several smaller groups, and each user whose channels are weakly correlated is isolated as a separate group. In the second layer, the DIANA Hierarchical Clustering is used to divide the larger clusters based on the channel correlation value. After user grouping, a new joint active and passive beam-forming design problem is formulated to maximize the achievable rate of each user in each cluster under the Quality of Service (QoS) requirements of other users, the conditions of Successive Interference Cancellation (SIC) decoding rate, the constraints of IRS reflection components and the transmission power restrictions. The formulated optimization problem is solved by proposing a new Successive Chaotic Group Search Approximation (SCGSA) algorithm. With the proposed massive mmWave MIMO-NOMA system, the spectral efficiency, energy efficiency, and sum rate are achieved to 18.56 bits per second (bps)/Hertz (Hz), 57.56 bps/Hz/Watt (W) and 21.58 bps/Hz, respectively.","PeriodicalId":23827,"journal":{"name":"Wireless Personal Communications","volume":"23 1","pages":""},"PeriodicalIF":2.2,"publicationDate":"2024-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142188870","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Molecular Communication Under Different Signaling Waveforms and Biological Deployments 不同信号波形和生物部署下的分子通信

IF 2.2 4区计算机科学

Wireless Personal Communications Pub Date : 2024-08-20 DOI: 10.1007/s11277-024-11496-3

Bhavya Jain, Dharmendra Yadav, S. Pratap Singh, Amit Kumar, Alok K. Kushwaha

{"title":"Molecular Communication Under Different Signaling Waveforms and Biological Deployments","authors":"Bhavya Jain, Dharmendra Yadav, S. Pratap Singh, Amit Kumar, Alok K. Kushwaha","doi":"10.1007/s11277-024-11496-3","DOIUrl":"https://doi.org/10.1007/s11277-024-11496-3","url":null,"abstract":"Every second, millions of cells within our bodies exchange critical messages. Yet, amidst this swarming molecular dialogue, miscommunications often occur, leading to misdiagnosis and ineffective treatments. Over 30% of therapeutic molecules fail to reach their intended targets due to inadequate understanding of tissue communication pathways. Herein, we unveil a novel diffusive molecular communication (DMC) model, offering insights into concentration dynamics and channel responses across diverse tissue geometries. We employed various signaling waveforms to gain insights into how these geometries impact the propagation and reception of molecular signals in tissues under different practical scenarios. In particular, rectangular and exponential signaling waveforms under each biological rectangular deployment, Biological cylindrical deployment, and biological spherical deployments have been used to analyze the DMC system in terms of concentration and channel response. First of all, the concentration of the information signal is derived analytically under each of the signaling waveforms and deployments. Further, the presented concentration of the information signal under each signaling and deployments are employed in evaluating the channel response at the receiver. Each of the presented analytical expressions has been quantified numerically under different parameters. The results demonstrate DMC’s potential for developing new-era targeted drug delivery and bio-sensing technologies.","PeriodicalId":23827,"journal":{"name":"Wireless Personal Communications","volume":"35 1","pages":""},"PeriodicalIF":2.2,"publicationDate":"2024-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142188920","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

DOA Estimation of Far-Field Sources by Exploiting Second Order Statistics of Bi-level Nested Arrays Using Biological Flower Pollination Algorithm 使用生物授粉算法利用双层嵌套阵列的二阶统计进行远场源 DOA 估算

IF 2.2 4区计算机科学

Wireless Personal Communications Pub Date : 2024-08-20 DOI: 10.1007/s11277-024-11512-6

Khurram Hameed, Nauman Ahmed, Wasim Khan, Muneeb Ahmed, Salma Zainab Farooq, Muhammad Rashid Ramzan, Muhammad Ramzan

{"title":"DOA Estimation of Far-Field Sources by Exploiting Second Order Statistics of Bi-level Nested Arrays Using Biological Flower Pollination Algorithm","authors":"Khurram Hameed, Nauman Ahmed, Wasim Khan, Muneeb Ahmed, Salma Zainab Farooq, Muhammad Rashid Ramzan, Muhammad Ramzan","doi":"10.1007/s11277-024-11512-6","DOIUrl":"https://doi.org/10.1007/s11277-024-11512-6","url":null,"abstract":"The immense degree of freedom (DOF), high array aperture, non-uniform linear arrays, and reduced mutual coupling have developed interest in the estimations of the direction of arrival (DOA). Due to complex previous structures, this paper investigates the bi-level sparse linear nested array (SNA) concepts to discuss element spacing and different ranges on uniform DOF. Then features of flower pollination algorithm is applied to the proposed two-level SNA to generalize and enhance the proposed structure further. In order to boost DOF, it is also investigated local and global minima of highly non-linear functions. The proposed technique for quantifying the DOA is reviewed analytically using evaluation parameters like cumulative distributive function, accuracy, root mean square error, and robustness against noise and snapshots. The simulation findings prove its validation with the analytical model and target the accuracy with fewer separations and the minimum number of physical sensors in relation to particle swarm optimization. Moreover, the strength of the proposed study further validated by comparing with Cramer Rao Bound for minimum variance which shows that the FPA outperforms.","PeriodicalId":23827,"journal":{"name":"Wireless Personal Communications","volume":"13 1","pages":""},"PeriodicalIF":2.2,"publicationDate":"2024-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142188869","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

User Association and Resource Allocation Algorithm of Base Station in Multi-Band Millimeter Wave Heterogeneous Cellular Networks 多频段毫米波异构蜂窝网络中基站的用户关联和资源分配算法

IF 2.2 4区计算机科学

Wireless Personal Communications Pub Date : 2024-08-19 DOI: 10.1007/s11277-024-11532-2

Jianfei Li

引用次数: 0