International Journal of Communication Systems最新文献

Hybrid Optimization-Based Resource Allocation and Admission Control for QoS in 5G Network 基于混合优化的5G网络QoS资源分配与准入控制

IF 1.7 4区计算机科学

International Journal of Communication Systems Pub Date : 2025-05-29 DOI: 10.1002/dac.70120

Kulbir Kumar, Amandeep Noliya, Dharmender Kumar, Samiksha Mathur

{"title":"Hybrid Optimization-Based Resource Allocation and Admission Control for QoS in 5G Network","authors":"Kulbir Kumar, Amandeep Noliya, Dharmender Kumar, Samiksha Mathur","doi":"10.1002/dac.70120","DOIUrl":"https://doi.org/10.1002/dac.70120","url":null,"abstract":"<div>\u0000 \u0000 <p>In the present world, network slicing is a viable approach to provide customized logical and digitalized applications in the fifth generation (5G). Furthermore, effective implementation of network slicing requires resource allocation (RA) and call admission control (CAC). As a result, this paper proposes the Al-Biruni Remora Optimization Algorithm (BEROA)-based RA and Deep Q Net (DQN)-based CAC in a 5G network. The entire approach consists of 5G network simulation, optimal RA, and CAC. The 5G network simulation is the initial process, and the optimal RA is employed to allocate resources using the proposed BEROA. Furthermore, the DQN is utilized to perform the CAC using the user parameters like throughput, path loss, Reference Signal Received Power (RSRP), signal-to-interference-plus-noise ratio (SINR), and delay as well as the cell parameters like the count of users, cell throughput, cell power, and subcarrier power. After the admission of the new user in the cell, the count of active users in every cell is updated. Moreover, the BEROA + DQN-based RA and CAC attain the finest throughput of 15.88 Mbps, delay of 0.232 s, number of user drops of 11.89, cell power of 0.264 dbm, call blocking probability of the new users of 9, 0.313, call blocking probability of the handoff users of 0.435, call dropping probability of the new users of 0.510, and call dropping probability of the handoff users of 0.474.</p>\u0000 </div>","PeriodicalId":13946,"journal":{"name":"International Journal of Communication Systems","volume":"38 10","pages":""},"PeriodicalIF":1.7,"publicationDate":"2025-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144171220","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 Intelligent Intrusion Detection System in IoV Using Machine Learning and Deep Learning Models 基于机器学习和深度学习模型的车联网智能入侵检测系统

IF 1.7 4区计算机科学

International Journal of Communication Systems Pub Date : 2025-05-29 DOI: 10.1002/dac.70131

Deepthi Reddy Dasari, G. Hima Bindu

{"title":"An Intelligent Intrusion Detection System in IoV Using Machine Learning and Deep Learning Models","authors":"Deepthi Reddy Dasari, G. Hima Bindu","doi":"10.1002/dac.70131","DOIUrl":"https://doi.org/10.1002/dac.70131","url":null,"abstract":"<div>\u0000 \u0000 <p>Creating an internet of vehicles (IoV) intelligent intrusion detection system (IDS) that can identify and stop a wide range of new and evolving cyberattacks is a challenging task. IoV generates vast amounts of data from sensors and communication protocols, necessitating an IDS capable of handling various data formats and extracting useful information. Real-time attack identification and mitigation require efficient model inference with minimal latency. Cyberattackers employ sophisticated techniques, necessitating an IDS capable of learning and adapting to new threats. By oversampling the minority class with SMOTE, SMOTEBoost increases the training data available for learning its features, leading to better detection of minority class instances. The boosting component focuses on training weak learners on misclassified instances, further improving specificity toward the minority class and reducing false positives. The paper describes a way to choose important features for finding intrusions in the IoV that includes nonnegative latent factor dimensionality-minimizing intraclass compactness (NLF-DMIC). For classification, this paper proposes a four-model decision tree (DT), a random forest (RF), an enhanced LSTM network with a conventional long-short-term memory. Tested on the CICIDS-2018 and Car-Hacking datasets, the suggested approach showed the best intrusion detection performance. The ILSTM outperformed various ML and DL approaches, achieving 98.68% accuracy with SMOTEBOOST on the CICIDS2018 dataset and 98.87% accuracy with SMOTEBOOST on the Car-Hacking dataset. An intelligent IDS for IoV using machine learning (ML) and deep learning (DL) models enhances recognition accuracy, reduces false alarms, and adapts to dynamic threats, ensuring robust, real-time security for connected vehicles.</p>\u0000 </div>","PeriodicalId":13946,"journal":{"name":"International Journal of Communication Systems","volume":"38 10","pages":""},"PeriodicalIF":1.7,"publicationDate":"2025-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144171222","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

Cumulative Adaptive Extended Kalman Filter for Robust UWB Positioning in Indoor Environments 累积自适应扩展卡尔曼滤波在超宽带鲁棒定位中的应用

IF 1.7 4区计算机科学

International Journal of Communication Systems Pub Date : 2025-05-26 DOI: 10.1002/dac.70127

Mustapha Flissi, Khaled Rouabah, Salim Atia

{"title":"Cumulative Adaptive Extended Kalman Filter for Robust UWB Positioning in Indoor Environments","authors":"Mustapha Flissi, Khaled Rouabah, Salim Atia","doi":"10.1002/dac.70127","DOIUrl":"https://doi.org/10.1002/dac.70127","url":null,"abstract":"<div>\u0000 \u0000 <p>In complex indoor environments, the ultrawide band (UWB) positioning systems enhanced by Kalman filters (KFs) often struggle with large variations in accuracy and reliability due to outlier observations in the state system. This paper presents a cumulative adaptive extended KF (CA-EKF) to mitigate this issue by optimizing state estimation accuracy. The proposed technique adaptively adjusts process and measurement noise covariance matrices based on residual and innovation vectors, effectively suppressing filtering divergence and significantly enhancing positioning precision. Performance evaluation demonstrates the superiority of CA-EKF over traditional extended KF (EKF), innovation adaptive KF (IAKF), and Sage–Husa adaptive KF (SHAKF). Monte Carlo simulations under multiple outlier scenarios and nonlinear motion trajectories confirm CA-EKF's robustness, achieving lower positioning errors, smoother error evolution, and improved resilience against multiple simultaneous outliers. Quantitative results highlight that CA-EKF consistently outperforms other filters in terms of running-average root mean square error (RA-RMSE), mean squared error (MSE), and standard deviation (STD), reducing error accumulation over time and enhancing tracking accuracy. Notably, cumulative distribution function (CDF) analysis confirms that 99% of positioning errors with CA-EKF remain below 7.65 cm significantly outperforming competing methods. These results establish CA-EKF as a highly effective solution for high-precision UWB tracking applications in dynamic environments.</p>\u0000 </div>","PeriodicalId":13946,"journal":{"name":"International Journal of Communication Systems","volume":"38 10","pages":""},"PeriodicalIF":1.7,"publicationDate":"2025-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144135767","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

Hamming Distance Based Duplicate Address Detection in IPv6 Network 基于汉明距离的IPv6网络重复地址检测

IF 1.7 4区计算机科学

International Journal of Communication Systems Pub Date : 2025-05-26 DOI: 10.1002/dac.70135

Pragya, Bijendra Kumar

{"title":"Hamming Distance Based Duplicate Address Detection in IPv6 Network","authors":"Pragya, Bijendra Kumar","doi":"10.1002/dac.70135","DOIUrl":"https://doi.org/10.1002/dac.70135","url":null,"abstract":"<div>\u0000 \u0000 <p>Ensuring the uniqueness of Unicast IPv6 addresses prior to allocation is crucial in Internet of Things networks with constrained resources. Self-configured nodes often allocate IPv6 addresses using SLAAC and produce its own preliminary IPv6 addresses. Since the Duplicate Address Detection (DAD) protocol in SLAAC broadcasts the potential address over the network, it is vulnerable to a variety of attacks. This vulnerability is exploited by malicious nodes that can stop new nodes from joining the network by constantly claiming the tentative address. Several solutions have been proposed, yet they come with limitations. This work presents the modified DAD protocol (Hamming-DAD) that aims to solve these issues by being scalable, trustworthy, and compliant with industry standards. The preliminary IPv6 address in Hamming-DAD is broadcast in a way that hides the real address from any node in the network, new or existing one. This makes it far more difficult for a malicious node to obtain this preliminary address. The results of the experiments show that this method performs better in respect of ASR, overhead, and energy usage, and it effectively mitigates DoS assaults. By contrasting Hamming-DAD with other state-of-art solutions including Hidden-DAD, O-DAD, Secure-DAD, and Improved-DAD protocols, this strategy lowers energy usage and communication overhead around 4%, 5%, 7%, and 12%, respectively.</p>\u0000 </div>","PeriodicalId":13946,"journal":{"name":"International Journal of Communication Systems","volume":"38 10","pages":""},"PeriodicalIF":1.7,"publicationDate":"2025-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144140337","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

Equidistant Power Allocation in Downlink AE-NOMA: A Deep Learning Approach 下行AE-NOMA中的等距功率分配：一种深度学习方法

IF 1.7 4区计算机科学

International Journal of Communication Systems Pub Date : 2025-05-24 DOI: 10.1002/dac.70132

Namrata Choubey, Aditya Trivedi, Rinkoo Bhatia

{"title":"Equidistant Power Allocation in Downlink AE-NOMA: A Deep Learning Approach","authors":"Namrata Choubey, Aditya Trivedi, Rinkoo Bhatia","doi":"10.1002/dac.70132","DOIUrl":"https://doi.org/10.1002/dac.70132","url":null,"abstract":"<div>\u0000 \u0000 <p>Nonorthogonal multiple access (NOMA) is a key element of sixth-generation (6G) wireless networks, designed to improve spectrum efficiency. The introduction of deep learning (DL) in wireless networks has advanced wireless system performance compared to previous generations. In a NOMA system, power is distributed to different users in a cluster or cell. This paper focuses on distributing power to different service demands of a single user in a cell with minimal error rate. We introduce the service-based downlink autoencoder (AE)-NOMA scheme for multiservice NOMA transmission for a single user. The power is distributed to different services through an equidistant power allocation scheme. Integrating AE, NOMA, and the power allocation scheme is developed to enable end-to-end (E2E) signal transmission with an enhanced signal-to-noise (SNR) ratio. It aims to improve the wireless network's block error rate (BLER) performance. The proposed scheme surpasses traditional standard state-of-the-art (SOTA) techniques, the classical successive interference cancellation (SIC)-NOMA scheme, and the AE-based NOMA system. The simulation results highlight the effectiveness and adaptability of the proposed scheme across various scenarios.</p>\u0000 </div>","PeriodicalId":13946,"journal":{"name":"International Journal of Communication Systems","volume":"38 10","pages":""},"PeriodicalIF":1.7,"publicationDate":"2025-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144125835","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 Energy Efficient Data Transmission in WSN Using Fuzzy-Based Hybrid Philippine Eagle Tasmanian Devil Optimization 基于模糊混合菲律宾鹰和袋獾优化的WSN节能数据传输

IF 1.7 4区计算机科学

International Journal of Communication Systems Pub Date : 2025-05-22 DOI: 10.1002/dac.70042

Subasini C.A., Sangeetha Francelin Vinnarasi F., Karuppiah S.P., Anita Rose J.T.

{"title":"An Energy Efficient Data Transmission in WSN Using Fuzzy-Based Hybrid Philippine Eagle Tasmanian Devil Optimization","authors":"Subasini C.A., Sangeetha Francelin Vinnarasi F., Karuppiah S.P., Anita Rose J.T.","doi":"10.1002/dac.70042","DOIUrl":"https://doi.org/10.1002/dac.70042","url":null,"abstract":"<div>\u0000 \u0000 <p>In the realm of wireless sensor networks (WSNs), where energy efficiency and communication reliability are paramount, this paper proposes an innovative approach named Fuzzy-based hybrid Philippine eagle optimization and Tasmanian devil optimization (FPEO-TDO). WSNs utilize sensor nodes across diverse domains like agriculture, military, medicine, and manufacturing to gather data and monitor environments over prolonged periods. Efficient data transmission is crucial to conserve energy reserves in sensor nodes. The FPEO-TDO model integrates the Philippine eagle optimization (PEO) and Tasmanian devil optimization (TDO) algorithms to optimize energy efficiency in WSNs. PEO and TDO algorithms are renowned for their abilities to enhance optimization processes by mimicking the behaviors of Philippine eagles and Tasmanian devils, respectively. By fusing these algorithms, our approach aims to minimize energy usage during data transfer, thereby extending network's lifetime and enhancing overall performance metrics. To determine optimal clusters within the network, a fuzzy logic model is employed, facilitating intelligent decision-making for efficient data aggregation and transmission. Performance evaluation measures such as WSN lifetime, end-to-end delay, and network stability period are utilized to assess effectiveness of FPEO-TDO. Experimental results demonstrate significant improvements, with a 98% of network lifetime and low energy consumption of 78 J compared with the traditional approaches, highlighting the efficacy of our proposed approach in enhancing WSN performance and energy efficiency.</p>\u0000 </div>","PeriodicalId":13946,"journal":{"name":"International Journal of Communication Systems","volume":"38 10","pages":""},"PeriodicalIF":1.7,"publicationDate":"2025-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144118122","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

Max–Min Rate Optimization for STAR-RIS-Assisted SWIPT MIMO Cognitive Radio Systems star - ris辅助SWIPT MIMO认知无线电系统的最大最小速率优化

IF 1.7 4区计算机科学

International Journal of Communication Systems Pub Date : 2025-05-22 DOI: 10.1002/dac.70124

Pham Van Quyet, Ha Hoang Kha

{"title":"Max–Min Rate Optimization for STAR-RIS-Assisted SWIPT MIMO Cognitive Radio Systems","authors":"Pham Van Quyet, Ha Hoang Kha","doi":"10.1002/dac.70124","DOIUrl":"https://doi.org/10.1002/dac.70124","url":null,"abstract":"<div>\u0000 \u0000 <p>This paper studies a downlink multiple-input multiple-output (MIMO) simultaneous wireless information and power transfer (SWIPT) cognitive radio (CR) system with the assistance of a simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS). Different from conventional RISs which can only serve users in their reflection region, STAR-RISs using energy splitting (ES) techniques simultaneously support both reflection users (RUs) and transmission users (TUs). In our proposed system, the RUs utilize power splitting (PS) techniques to simultaneously harvest energy and detect information while TUs exclusively receive information. Our aim is to jointly optimize the precoding matrices (PCMs) at the secondary transmitter (S-Tx), the transmission and reflection coefficient matrices (TRCMs) at the STAR-RIS, and the PS ratios at the RUs to maximize the minimum achievable data rate among TUs while ensuring the minimum harvested energy and data rate requirements for RUs, and maintaining interference power (IP) at primary users (PUs) below a predefined threshold. To address the nonconvex nature of the design problem, we divide it into two sub-problems. In each sub-problem, we employ the minorization–maximization (MM) method to identify suitable surrogate functions and establish convex inner sets and, thus, transform the original sub-problems into convex ones. Subsequently, by capitalizing on an alternating optimization (AO) framework, we develop a computationally efficient iterative algorithm to find the optimal solutions. Through extensive simulations, we demonstrate that the MIMO SWIPT CR systems with the optimal TRCM STAR-RIS provide the superior performance as compared with the counterparts with the fixed TRCM STAR-RIS, those without the STAR-RIS, and those with the optimal phase shift conventional RIS.</p>\u0000 </div>","PeriodicalId":13946,"journal":{"name":"International Journal of Communication Systems","volume":"38 10","pages":""},"PeriodicalIF":1.7,"publicationDate":"2025-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144108777","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 Study of OTFS Modulation in Mobility and Noisy Scenarios for 6G Communication Networks 6G通信网络移动和噪声环境下OTFS调制性能研究

IF 1.7 4区计算机科学

International Journal of Communication Systems Pub Date : 2025-05-22 DOI: 10.1002/dac.70130

Abderrahim Mohammadi, Aziz Dkiouak, Mostafa Baghouri, Anass El Mamouni, Saad Chakkor, Ahmed El Oualkadi

{"title":"Performance Study of OTFS Modulation in Mobility and Noisy Scenarios for 6G Communication Networks","authors":"Abderrahim Mohammadi, Aziz Dkiouak, Mostafa Baghouri, Anass El Mamouni, Saad Chakkor, Ahmed El Oualkadi","doi":"10.1002/dac.70130","DOIUrl":"https://doi.org/10.1002/dac.70130","url":null,"abstract":"<div>\u0000 \u0000 <p>Orthogonal time–frequency space (OTFS) modulation emerges as a next-generation waveform addressing the limitations of orthogonal frequency-division multiplexing (OFDM) in high-mobility and noisy environments, critical for future 6G networks. In the delay–Doppler domain, OTFS mitigates intersymbol interference (ISI) and intercarrier interference (ICI), ensuring robust performance in dynamic scenarios. This study provides a comprehensive evaluation of OTFS and investigates its performance compared to OFDM under varying SNR, UE speeds, different carrier frequencies, and channel models (TDLA, TDLB, EVA, EPA, and ETU), utilizing diverse modulation schemes (QPSK, 16QAM, 64QAM, and 256QAM). Simulation results reveal OTFS achieves superior BER performance, particularly in high-mobility and multipath environments, while OFDM offers lower computational complexity. Despite OTFS's higher resource demands, its enhanced spectral efficiency and robustness make it a promising candidate for 6G applications, including vehicular networks, IoT, and UAVs. Future work should focus on adaptive algorithm development, energy-efficient designs, and machine learning integration to optimize OTFS for real-world deployment in ultrareliable, low-latency communication scenarios.</p>\u0000 </div>","PeriodicalId":13946,"journal":{"name":"International Journal of Communication Systems","volume":"38 10","pages":""},"PeriodicalIF":1.7,"publicationDate":"2025-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144108778","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

Predicting the Performance of Internet of Things Communication Systems Using Finite Element Interpolated Neural Network in Smart Cities 基于有限元插值神经网络的智慧城市物联网通信系统性能预测

IF 1.7 4区计算机科学

International Journal of Communication Systems Pub Date : 2025-05-20 DOI: 10.1002/dac.70101

S. Sathishbabu, R. Dhanalakshmi, R. Bharathiraja, K. Thirunavukkarasu

{"title":"Predicting the Performance of Internet of Things Communication Systems Using Finite Element Interpolated Neural Network in Smart Cities","authors":"S. Sathishbabu, R. Dhanalakshmi, R. Bharathiraja, K. Thirunavukkarasu","doi":"10.1002/dac.70101","DOIUrl":"https://doi.org/10.1002/dac.70101","url":null,"abstract":"<div>\u0000 \u0000 <p>The Internet of Things (IoT) is an essential part of Information and Communications Technology (ICT) for sustainable smart cities because of its capacity to assist sustainability across multiple disciplines. To attain the required quality of IoT communication systems and to enable sustainable progress in smart cities regarding IoT communication systems, it is necessary to avoid fault through constant and dynamic application of network behavior. In this research work, predicting the performance of IoT communication systems using Finite Element Interpolated Neural Network in smart cities (IoT-CS-FEINN-SC) is proposed. Here, the input data is gathered from IoT devices that include various kinds of sensors like visibility, humidity, temperature, pressure, and wind speed. Signed Cumulative Distribution Transform (SCDT) is employed to extract Received Signal Strength (RSS) features as minimum, maximum, and mean. Afterwards, the extracted features are fed to FEINN for predicting the IoT communication system performance in smart cities. The Secretary Bird Optimization Algorithm (SBOA) is proposed to enhance the weight parameter of FEINN method that predicts the performance of IoT communication systems precisely. The IoT-CS-FEINN-SC technique achieves 20.36%, 28.42%, and 15.27% better accuracy analyzed with existing techniques: Cloud-assisted IoT intelligent transportation scheme and traffic control scheme in smart city (IoT-TCS-SC), Optimized RNN-dependent performance prediction of IoT and WSN-oriented smart city application utilizing improved honey badger algorithm (RNN-IoT-WSN), and Smart cities: a role of IoT and ML in realizing data-centric smart environs (IoT-ANN-DSE), respectively.</p>\u0000 </div>","PeriodicalId":13946,"journal":{"name":"International Journal of Communication Systems","volume":"38 10","pages":""},"PeriodicalIF":1.7,"publicationDate":"2025-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144100712","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

Joint Antenna Selection and Power Allocation for Clustered Downlink NOMA Networks With Alamouti Space-Time Block Coding 基于Alamouti空时分组编码的集群下行NOMA网络联合天线选择与功率分配

IF 1.7 4区计算机科学

International Journal of Communication Systems Pub Date : 2025-05-19 DOI: 10.1002/dac.70125

Reem T. Akasha, Mohammed W. Baidas

{"title":"Joint Antenna Selection and Power Allocation for Clustered Downlink NOMA Networks With Alamouti Space-Time Block Coding","authors":"Reem T. Akasha, Mohammed W. Baidas","doi":"10.1002/dac.70125","DOIUrl":"https://doi.org/10.1002/dac.70125","url":null,"abstract":"<div>\u0000 \u0000 <p>In this paper, the problem of joint antenna selection and power allocation (J-AS-PA) for Alamouti space-time block coding (STBC)-based clustered downlink nonorthogonal multiple-access (NOMA) networks is considered. Essentially, the aim is to assign a pair of antennas to each user cluster and perform power allocation to maximize the network sum-rate, while satisfying quality-of-service (QoS) requirements for all users. However, the problem is nonconvex and computationally-expensive. In turn, it is split into two subproblems; antenna selection, and power allocation over each (user cluster, antenna pairs) combination, and then solved via a two-stage solution procedure. In Stage 1, antenna selection is solved using the stable marriage matching algorithm, whereas the power allocation problem is reformulated as a concave maximization problem. In Stage 2, a swap matching algorithm is devised to ensure stability and further improve the network sum-rate. Simulation results illustrate that the proposed solution procedure achieves a near-optimal network sum-rate in comparison with the global optimal J-AS-PA scheme, and is superior to the OMA-based network. Not only that, but the Alamouti-based schemes will be shown to outperform the conventional non-Alamouti STBC counterpart schemes, which is due to the spatial-diversity gains. Lastly, light is shed on the effect of imperfect successive interference cancellation (SIC) and channel state information (CSI), where the Alamouti-based schemes demonstrate more robustness against SIC and CSI errors than other benchmark schemes.</p>\u0000 </div>","PeriodicalId":13946,"journal":{"name":"International Journal of Communication Systems","volume":"38 10","pages":""},"PeriodicalIF":1.7,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144085064","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