International Journal of Communication Systems最新文献

{"title":"A Dynamic Burst Assembly Approach for High-Priority and Self-Similar Traffic in High-Speed Optical Burst Switched Network","authors":"Shamandeep Singh,&nbsp;Simranjit Singh,&nbsp;Bikrampal Kaur,&nbsp;Prabhjot Kaur Chahal","doi":"10.1002/dac.70079","DOIUrl":"https://doi.org/10.1002/dac.70079","url":null,"abstract":"<div>\u0000 \u0000 <p>Dynamic burst size selection is a challenging process in the optical burst switching (OBS) networks for efficient burst assembly. In this manuscript, a dynamic burst-size assembly approach is proposed to standardize the data burst size in OBS networks. The proposed approach utilizes hysteresis properties in the burst size decider module (BSDM) to decide the data burst size. The inculcation of the dynamic burst assembly algorithm (DBAA) focuses on the nonlinear features to handle the blocking problem during the burst assembly process. DBAA involves a priority evaluator mechanism to determine the importance of each incoming packet at the ingress node. This provides a dynamic decision-making strategy to standardize the data burst size with change in transition count number (TCN). The performance of the proposed approach is evaluated on the self-similar traffic model with burstiness, ranging from <i>H</i> = 0.5–0.7. The experimental results show a decrease in the average queuing delay by 14.59% and an improved average burst utilization by 23.36% compared with the hybrid (time/length) approach. However, the proposed DBAA attains better burst utilization with a significant reduction in queuing delay. Furthermore, the consistency value of burst sizes indicates that DBAA performs better in terms of burst utilization than existing approaches.</p>\u0000 </div>","PeriodicalId":13946,"journal":{"name":"International Journal of Communication Systems","volume":"38 7","pages":""},"PeriodicalIF":1.7,"publicationDate":"2025-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143769989","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}

{"title":"Optimizing Lane-Change Decisions in VANETs: A Communication-Driven Approach","authors":"Sumadeep Juvvalapalem,&nbsp;Vadivukkarasi Kanagaraj","doi":"10.1002/dac.70075","DOIUrl":"https://doi.org/10.1002/dac.70075","url":null,"abstract":"<div>\u0000 \u0000 <p>Vehicular ad hoc networks (VANETs) are pivotal in intelligent transportation systems (ITSs), enabling swift vehicle communication. The study focuses on optimizing highway traffic flow, particularly discretionary lane changing (DLC) via vehicle-to-vehicle (V2V) communication. To address the dynamic highway environment, an intelligent DLC decision-making model integrating deep learning techniques is proposed. The model employs the enhanced competitive swarm optimization (ECSO) algorithm for traffic density and the improved locust search (ILS) algorithm for vehicle mobility prediction. The nonlinear autoregressive dynamic neural network (NAR-DNN) serves as the decision-making framework, offering choices such as free lane change, forced lane change, and no lane change. SUMO and NS2 simulations evaluate the model, demonstrating its efficacy in establishing efficient communication links. Results show significant improvements over traditional frameworks, with the NAR-DNN achieving superior performance in packet delivery rates (12%–18%), connectivity probability (10%–15%), message delay (15%–20%), and average lane-change duration (8%–12%), respectively. These findings highlight the NAR-DNN's effectiveness in enhancing traffic management and safety within VANETs, offering promising insights for future ITS advancements.</p>\u0000 </div>","PeriodicalId":13946,"journal":{"name":"International Journal of Communication Systems","volume":"38 7","pages":""},"PeriodicalIF":1.7,"publicationDate":"2025-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143770106","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}

{"title":"Enhanced Fox Optimizer for Internet of Things Powered Personalized Healthcare Systems","authors":"Yanling Wang,&nbsp;Chao Wang","doi":"10.1002/dac.70082","DOIUrl":"https://doi.org/10.1002/dac.70082","url":null,"abstract":"<div>\u0000 \u0000 <p>The Internet of Things (IoT) paradigm has recently opened up new research opportunities in many academic and industrial fields, particularly medicine. IoT-enabled technology has transformed healthcare from a centralized model to a personalized healthcare system driven by ubiquitous wearable devices and smartphones. The implementation of IoT in healthcare faces critical challenges, including energy efficiency, network reliability, task response time, and availability of services. An Adaptive Fox Optimizer (AFO) is proposed as a novel IoT-supported method for providing healthcare services. The zero-orientation nature of AFO is mitigated by quasi-oppositional learning. A reinitialization plan is also presented to improve exploration skills. Furthermore, an additional stage is implemented with two novel movement techniques to optimize search capabilities. In addition, a multi-best methodology is used to deviate from the local optimum and manage the population more efficiently. Ultimately, greedy selection accelerates convergence and exploitability. The proposed AFO was rigorously evaluated, demonstrating significant improvements across key performance metrics. Compared to conventional approaches, AFO enhances system availability by 83.33%, reliability by 11.32%, reduces energy consumption by 19.12%, and decreases task response times by 25.14%. These results highlight AFO's ability to optimize resource allocation, enhance fault tolerance, and prolong network lifespan in IoT healthcare environments. By addressing critical challenges, this research contributes to developing more efficient, reliable, and responsive IoT-enabled healthcare systems, paving the way for advancements in wearable health monitoring, telemedicine, and smart hospital management.</p>\u0000 </div>","PeriodicalId":13946,"journal":{"name":"International Journal of Communication Systems","volume":"38 7","pages":""},"PeriodicalIF":1.7,"publicationDate":"2025-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143741525","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}

{"title":"Cooperative Multicriteria Spectrum Allocation Scheme for Multiband Wireless Networks","authors":"Sungwook Kim","doi":"10.1002/dac.70083","DOIUrl":"https://doi.org/10.1002/dac.70083","url":null,"abstract":"<div>\u0000 \u0000 <p>The sixth-generation (6G) communication technology is expected to provide the seamless and ubiquitous wireless access for future cellular networks. Due to the rise of network demands and the limited communication resource, the multiband network (MBN) system is needed to satisfy the stringent communication requirements. This trend triggers to utilize millimeter wave and THz frequency bands, in addition to traditional radio frequency band. In this paper, we divide the MBN control problem into two subproblems: the base station (BS) association problem and spectrum allocation problem. To jointly optimize these problems, we mainly focus on the cooperative game theory. According to the coalition formation game, each device considers the characteristics of different spectrum bands and forms its BS association for communication services. And then, a new control paradigm, called <i>Max-min Multicriteria Bargaining Solution</i> (<i>MMBS</i>), is introduced to solve the MBN spectrum allocation problem. By considering multiple criteria, the main concept of <i>MMBS</i> is the max–min–max optimization method based on the Nash product. By using the interactive relationship between BSs and individual devices, our joint control approach can effectively handle the MBN technology to ensure mutual advantages. Finally, simulation results show the efficiency and the effectiveness of our cooperative game approach. Compared with the existing MBN protocols, analytical results demonstrate the superior performance of the proposed solution.</p>\u0000 </div>","PeriodicalId":13946,"journal":{"name":"International Journal of Communication Systems","volume":"38 7","pages":""},"PeriodicalIF":1.7,"publicationDate":"2025-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143741161","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}

{"title":"Delay-Aware Dynamic Resource Orchestration for IoT-Enabled Software-Defined Edge Networks","authors":"Lalita Agrawal,&nbsp;Ayan Mondal,&nbsp;Mohammad S. Obaidat,&nbsp;Erkki Harjula","doi":"10.1002/dac.70072","DOIUrl":"https://doi.org/10.1002/dac.70072","url":null,"abstract":"<div>\u0000 \u0000 <p>In the rapidly evolving Internet of Things (IoT) ecosystem, the integration of software-defined networking (SDN) with edge computing is critical for optimizing performance in IoT applications. This paper introduces a novel framework, named D-RESIN, designed to dynamically orchestrate resources within IoT-enabled SDN at the edge, explicitly focusing on minimizing delays. The proposed framework employs evolutionary game theory to manage and optimize resource allocation across IoT devices, Open vSwitches, and Edge nodes. We implemented the proposed D-RESIN schemes using the Mininet network emulator with Ryu SDN controller and Open vSwitches. We found out that D-RESIN reduces average processing delay at the access tier by 52.43%–88.82% and 32.71%–87.91% compared to the existing scheme—T-RESIN and FlowMan, respectively. At the edge tier, D-RESIN decreases the average processing delay by 35.44-85.10% compared to T-RESIN. These simulation results highlight the effectiveness of D-RESIN in enhancing scalability and efficiency for delay-sensitive IoT applications.</p>\u0000 </div>","PeriodicalId":13946,"journal":{"name":"International Journal of Communication Systems","volume":"38 7","pages":""},"PeriodicalIF":1.7,"publicationDate":"2025-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143741609","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}

{"title":"Design and Analysis of Gain-Enhanced ZIM Superstrate-Based Antenna for RFID Reader Applications","authors":"Rupanita Das,&nbsp;Tanmaya Kumar Das,&nbsp;Ajay Kumar Yadav","doi":"10.1002/dac.70025","DOIUrl":"https://doi.org/10.1002/dac.70025","url":null,"abstract":"&lt;div&gt;\u0000 \u0000 &lt;p&gt;This article introduces a new high-gain linearly polarized (LP) antenna utilizing zero-index metamaterial (ZIM). The design comprises of a rectangular radiating patch and a &lt;span&gt;&lt;/span&gt;&lt;math&gt;\u0000 &lt;semantics&gt;\u0000 &lt;mrow&gt;\u0000 &lt;mn&gt;2&lt;/mn&gt;\u0000 &lt;mo&gt;×&lt;/mo&gt;\u0000 &lt;mn&gt;2&lt;/mn&gt;\u0000 &lt;/mrow&gt;\u0000 &lt;annotation&gt;$$ 2times 2 $$&lt;/annotation&gt;\u0000 &lt;/semantics&gt;&lt;/math&gt; square-shaped metamaterial (MTM) structure. Through the MTM, a zero-index antenna is created, fabricated, and tested. The realized gain of the suggested design is higher with the MTM due to ZIM's focusing effect. The overall dimensions of the antenna are &lt;span&gt;&lt;/span&gt;&lt;math&gt;\u0000 &lt;semantics&gt;\u0000 &lt;mrow&gt;\u0000 &lt;mn&gt;0.24&lt;/mn&gt;\u0000 &lt;msub&gt;\u0000 &lt;mrow&gt;\u0000 &lt;mi&gt;λ&lt;/mi&gt;\u0000 &lt;/mrow&gt;\u0000 &lt;mrow&gt;\u0000 &lt;mn&gt;0&lt;/mn&gt;\u0000 &lt;/mrow&gt;\u0000 &lt;/msub&gt;\u0000 &lt;mo&gt;×&lt;/mo&gt;\u0000 &lt;mn&gt;0.016&lt;/mn&gt;\u0000 &lt;msub&gt;\u0000 &lt;mrow&gt;\u0000 &lt;mi&gt;λ&lt;/mi&gt;\u0000 &lt;/mrow&gt;\u0000 &lt;mrow&gt;\u0000 &lt;mn&gt;0&lt;/mn&gt;\u0000 &lt;/mrow&gt;\u0000 &lt;/msub&gt;\u0000 &lt;/mrow&gt;\u0000 &lt;annotation&gt;$$ 0.24{lambda}_0times 0.016{lambda}_0 $$&lt;/annotation&gt;\u0000 &lt;/semantics&gt;&lt;/math&gt;, where &lt;span&gt;&lt;/span&gt;&lt;math&gt;\u0000 &lt;semantics&gt;\u0000 &lt;mrow&gt;\u0000 &lt;msub&gt;\u0000 &lt;mrow&gt;\u0000 &lt;mi&gt;λ&lt;/mi&gt;\u0000 &lt;/mrow&gt;\u0000 &lt;mrow&gt;\u0000 &lt;mn&gt;0&lt;/mn&gt;\u0000 &lt;/mrow&gt;\u0000 &lt;/msub&gt;\u0000 &lt;/mrow&gt;\u0000 &lt;annotation&gt;$$ {lambda}_0 $$&lt;/annotation&gt;\u0000 &lt;/semantics&gt;&lt;/math&gt; is the free-space wavelength. The proposed antenna includes a ground plane measuring &lt;span&gt;&lt;/span&gt;&lt;math&gt;\u0000 &lt;semantics&gt;\u0000 &lt;mrow&gt;\u0000 &lt;mn&gt;0.49&lt;/mn&gt;\u0000 &lt;msub&gt;\u0000 &lt;mrow&gt;\u0000 &lt;mi&gt;λ&lt;/mi&gt;\u0000 &lt;/mrow&gt;\u0000 &lt;mrow&gt;\u0000 &lt;mn&gt;0&lt;/mn&gt;\u0000 &lt;/mrow&gt;\u0000 &lt;/msub&gt;\u0000 &lt;mo&gt;×&lt;/mo&gt;\u0000 &lt;mn&gt;0.49&lt;/mn&gt;\u0000 &lt;msub&gt;\u0000 &lt;mrow&gt;\u0000 &lt;mi&gt;λ&lt;/mi&gt;\u0000 &lt;/mrow&gt;\u0000 &lt;mrow&gt;\u0000 &lt;mn&gt;0&lt;/mn&gt;\u0000 &lt;/mrow&gt;\u0000 &lt;/msub&gt;\u0000 &lt;/mrow&gt;\u0000 &lt;annotation&gt;$$ 0.49{lambda}_0times 0.49{lambda}_0 $$&lt;/annotation&gt;\u0000 &lt;/semantics&gt;&lt;/math&gt;. The antenna's gain has been observed to increase, approximately from 3.95 to 5.61 dBi. The successful completion of the propagation test under various conditions, along with a reading distance of 7 cm in the ISM band, validates the potential u","PeriodicalId":13946,"journal":{"name":"International Journal of Communication Systems","volume":"38 7","pages":""},"PeriodicalIF":1.7,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143717281","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}

{"title":"An Efficient UHF RFID Tag Estimation Technique Based on Belief Function Theory","authors":"Abderrahmene Frahtia,&nbsp;Mustapha Benssalah,&nbsp;Karim Drouiche","doi":"10.1002/dac.70067","DOIUrl":"https://doi.org/10.1002/dac.70067","url":null,"abstract":"<div>\u0000 \u0000 <p>Radio frequency identification (RFID) technology has revolutionized various industries by enabling automatic identification and tracking of objects. However, in practical RFID systems, collisions occur when multiple tags are present within the coverage area of a single reader, resulting in communication interference and inaccurate tag count estimation. An accurate estimation of the number of tags in RFID systems is crucial for efficient tag identification and system performance. In this paper, we propose a new accurate ultrahigh frequency (UHF) RFID tag quantity estimation technique based on belief function theory, also known as Dempster–Shafer theory (DST). DST offers a robust framework for reasoning under uncertainty and has demonstrated its effectiveness in addressing intricate information–fusion challenges. The proposed technique, operating at the physical layer, uses belief functions and mass assignment principles to model the uncertainty associated with tag collisions, enabling accurate estimation. By merging evidence from multiple sources, such as time delays and signal power levels, the method improves the reliability of the estimation process. The simulation results demonstrate that the proposed technique achieves superior performance in terms of the estimation error and success rate, outperforming other estimation methods reported in the literature. Moreover, the experimental results corroborated the simulation results and demonstrated the capability and effectiveness of DST in addressing the challenges of collisions in RFID technology.</p>\u0000 </div>","PeriodicalId":13946,"journal":{"name":"International Journal of Communication Systems","volume":"38 7","pages":""},"PeriodicalIF":1.7,"publicationDate":"2025-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143707298","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}

{"title":"Intelligent Hybrid Sand Cat and Humboldt Squid Optimization Algorithm–Based Dynamic Reliable Data Routing Mechanism for VANETs","authors":"J. Veneeswari,&nbsp;C. Balasubramanian","doi":"10.1002/dac.70073","DOIUrl":"https://doi.org/10.1002/dac.70073","url":null,"abstract":"<div>\u0000 \u0000 <p>Vehicular ad hoc networks (VANETs) have seen progressive growth in recent years because of the increase in the popularity of intelligent vehicles and its relationship with the edge vehicular applications. Optimal route determination between the vehicles during interaction is highly challenging because of the dynamic change in the network topology. Specifically, the stability of the constructed clusters aids in achieving better routing process in the network for the purpose of maximizing energy efficiency. This communication between vehicles also requires an intelligent clustering mechanism for minimizing the delay during data delivery. In this paper, an intelligent hybrid sand cat and Humboldt squid optimization algorithm (HSCHSOA)–based dynamic reliable data routing mechanism is proposed with energy-efficient clustering strategy for achieving maximized data delivery in the network. This proposed HSCHSOA mechanism included the factors of grid size, orientation, velocity, number of nodes, and communication range into account during the process of fitness function evaluation. This fitness function evaluation achieved during the implementation of the sand cat optimization algorithm (SCOA) helps in confirming better selection of cluster head (CH) in the network. It further used the Humboldt squid optimization algorithm (HSOA) to guarantee the route optimization process, which enables reliable routes between the vehicular nodes under interaction. The simulation experiment of this HSCHSOA confirmed the minimized number of clusters constructed by 23.98%. It also maximized the stability of the clusters in terms of energy and delay by a margin of 18.42% and 20.36%, compared with the baseline approaches.</p>\u0000 </div>","PeriodicalId":13946,"journal":{"name":"International Journal of Communication Systems","volume":"38 7","pages":""},"PeriodicalIF":1.7,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143707208","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}

{"title":"Optimizing Indoor Localization and Tracking: An Energy-Efficient Approach Using Received Signal Strength and Mixstyle Neural Networks With Implicit Unscented Particle Filtering","authors":"C. Shanthi,&nbsp;R. Porselvi,&nbsp;Basi Reddy A,&nbsp;S. Ganesan","doi":"10.1002/dac.70069","DOIUrl":"https://doi.org/10.1002/dac.70069","url":null,"abstract":"<div>\u0000 \u0000 <p>In indoor environments, the unpredictable noise in received signal strength indicator (RSSI) measurements causes very high estimation errors for target localization. Nowadays, RSSI-based localization systems are widely used to deal with higher noise levels in RSSI measurements and to assure more accuracy in target localization. In this paper, Optimizing Indoor Localization and Tracking: An Energy-Efficient Approach Using Received Signal Strength and Mixstyle Neural Networks with Implicit Unscented Particle Filtering (OILT-MNN-IUPF) is proposed. The proposed method consists of two range-free target localization schemes in wireless sensor networks (WSN) for an indoor setup: (i) mixstyle neural network (MNN) used for regression tasks and (ii) fusion of MNN and the implicit unscented particle filter (IUPF). The fusion-based model is named the MNN + IUPF approach. There is no need to compute distances using field measurements for the proposed localization solutions, here three RSSI measurements to trace the mobile target. Also, this paper discusses the energy consumption related to the typical trilateration and MNN-based target localization. With the proposed MNN-based schemes, linear, sigmoid, RBF, and polynomial are the four kernel functions estimated on the accuracy of target localization. The proposed OILT-MNN-IUPF model achieves 25.05%, 20.17%, and 23.19% lower average localization error and 23.11%, 20.11%, and 24.09% less root mean square error compared with existing models.</p>\u0000 </div>","PeriodicalId":13946,"journal":{"name":"International Journal of Communication Systems","volume":"38 7","pages":""},"PeriodicalIF":1.7,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143689648","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}

{"title":"A Deep Learning With Optimization-Based Power Allocation for Network Slicing in MIMO–NOMA","authors":"S. K. Khaleelahmed,&nbsp;K. Sivakrishna,&nbsp;G. Rajesh,&nbsp;N. Durgarao,&nbsp;Ch. Venkateswarlu","doi":"10.1002/dac.70062","DOIUrl":"https://doi.org/10.1002/dac.70062","url":null,"abstract":"<div>\u0000 \u0000 <p>Nonorthogonal multiple access (NOMA) and multiple-input multiple-output (MIMO) are regarded as the best technologies for handling high-rate requirements. Nevertheless, the consumption of energy for huge amounts of chains leads to issues in energy efficiency (EE) requirements. Therefore, a new technique has been introduced for enhancing power allocation (PA). Initially, the system model for network slicing (NS) is considered, and then, quadrature amplitude modulation (QAM) is executed for transmitting the information. Next, orthogonal frequency division multiplexing (OFDM) is performed to divide the radio channel into many closely spaced subchannels. Then, preamble insertion is executed for channel equalization and data synchronization, and NS with massive MIMO is implemented for allocating communication resources to users. At last, PA is done by back propagation neural network (BPNN) by considering various parameters. Here, BPNN is tuned by harmonic ladybug beetle honey badger optimization (HLBHBO), where HLBHBO is formulated by combining harmonic analysis and ladybug beetle honey badger optimization (LBHBO). Moreover, LBHBO is engineered by the amalgamation of the honey badger algorithm (HBA) and ladybug beetle optimization (LBO). The experimental outcomes of HLBHBO + BPNN attained the highest sum rate of 1.990 Mbits/s, EE of 19.572 bits/J, and achievable rate of 149.857 Mbits/s.</p>\u0000 </div>","PeriodicalId":13946,"journal":{"name":"International Journal of Communication Systems","volume":"38 7","pages":""},"PeriodicalIF":1.7,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143689737","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}