{"title":"Adaptive Modulation for Half-Duplex Cooperative Non-Orthogonal Multiple Access (C-NOMA)","authors":"Milad Heshmati;Lokman Sboui;Zbigniew Dziong","doi":"10.1109/LCOMM.2026.3681658","DOIUrl":"https://doi.org/10.1109/LCOMM.2026.3681658","url":null,"abstract":"Cooperative Non-Orthogonal Multiple Access (C-NOMA) is a promising paradigm for extending connectivity to cell-edge users; however, existing fixed-rate implementations fail to exploit the full spectral potential of time-varying channels. In this letter, we propose a joint adaptive modulation framework for Half-Duplex (HD) C-NOMA that dynamically adjusts modulation orders to maximize system throughput. To solve the non-convex optimization problem arising from the coupled relaying constraints, we develop a low-complexity greedy heuristic that identifies the optimal modulation pair with negligible computational overhead. Simulation results confirm that the proposed scheme significantly outperforms fixed-modulation C-NOMA benchmarks in terms of throughput, achieving near-optimal performance virtually identical to exhaustive search bounds. Crucially, this throughput gain is achieved while strictly adhering to pre-defined Bit Error Rate (BER) constraints, ensuring robust reliability even in the presence of practical hardware impairments such as imperfect Successive Interference Cancellation (SIC).","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"30 ","pages":"1701-1705"},"PeriodicalIF":4.4,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147736941","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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":"Optimal Design of Space-Based Data Center Constellations for In-Orbit Computing Services","authors":"Wenxiao Ge;Juan A. Fraire;Kanglian Zhao","doi":"10.1109/LCOMM.2026.3688042","DOIUrl":"https://doi.org/10.1109/LCOMM.2026.3688042","url":null,"abstract":"With the increasing demand for in-orbit computing services, the architectural design of Space-Based Data Center (SBDC) constellations has emerged as a critical research challenge. However, existing design methodologies remain tailored to traditional constellations and lack specialized models to evaluate the unique cost-performance trade-offs. This letter proposes a comprehensive multi-objective optimization model for SBDC constellation design, aiming to minimize cost and delay while maximizing computational performance. To efficiently solve this complex problem, a novel SBDC Constellation Design Optimization (SCDO) framework, built upon NSGA-II, is developed to obtain the optimal constellation architectures. Extensive simulations demonstrate the effectiveness of the proposed framework, reveal two primary design paradigms, and provide an in-depth analysis of the impact of task characteristics.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"30 ","pages":"1880-1884"},"PeriodicalIF":4.4,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147828770","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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":"LiDAR-Guided Predictive Beam Optimization in Real-World Mobile V2I mmWave Networks","authors":"Neha Kumari;Pragya Swami;Irshad Ahmad Ansari","doi":"10.1109/LCOMM.2026.3677176","DOIUrl":"https://doi.org/10.1109/LCOMM.2026.3677176","url":null,"abstract":"The proposed method utilizes light detection and ranging (LiDAR) sensory data to predict the optimal beams in highly mobile vehicle-to-infrastructure (V2I) scenarios, and it is evaluated using the DeepSense 6G dataset. Simulation results show that the Temporal Neural Network (TCN) based method outperforms the state-of-the-art model, achieving 98.3% top-1 accuracy in future beam prediction while reducing beam training overhead by 80% and achieving an average power saving of 79.53%. Remarkably, the LiDAR-assisted method operates independently of previous beam information or calibration, providing a reliable alternative to conventional techniques. These results indicate that beam alignment challenges in mmWave and terahertz communication systems can be effectively mitigated by leveraging LiDAR-guided sensing and TCN-based predictive learning.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"30 ","pages":"1558-1562"},"PeriodicalIF":4.4,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147665272","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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 Novel Design of Low-PAPR OFDM-DCSK Waveform With Riemann Matrix-Based G-SLM for ISAC","authors":"Cheng Peng;Yanhua Tan;Dingfei Ma;Zhaojie Yang;Chi Zhang;Yi Fang","doi":"10.1109/LCOMM.2026.3676299","DOIUrl":"https://doi.org/10.1109/LCOMM.2026.3676299","url":null,"abstract":"This letter introduces an orthogonal frequency division multiplexing differential chaos shift keying (OFDM-DCSK) waveform for communication-centric integrated sensing and communication (ISAC), which simultaneously enables reliable noncoherent communication and robust sensing capabilities. To further address the high peak-to-average power ratio (PAPR) issue of OFDM-based waveforms, a Riemann matrix–based group selected mapping (G-SLM) scheme is incorporated to reduce PAPR under ISAC sensing constraints. The proposed G-SLM achieves significant PAPR improvement compared with conventional SLM methods while requiring no side information at the receiver. Closed-form expressions are derived for the ambiguity function and bit error rate (BER) in the proposed systems with and without G-SLM. Both analytical and simulation results verify that the OFDM-DCSK waveform integrated with G-SLM maintains communication reliability and sensing accuracy compared to the conventional OFDM-DCSK waveform, while reducing the PAPR with only slight main lobes broadening and modest side lobes elevation. These features make the proposed scheme particularly suitable for ISAC applications in complex wireless environments under low and moderate mobility conditions.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"30 ","pages":"1533-1537"},"PeriodicalIF":4.4,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147665257","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Chao Tang;Yueyun Chen;Yanqing Li;Guang Chen;Zhen Wang;Huan Liu
{"title":"A Spectrum Sharing-Enabled Collaborative Dynamic Beam Pattern Strategy Based on MA-LSTM-DRL for Multi-Satellite Multi-Beam STINs","authors":"Chao Tang;Yueyun Chen;Yanqing Li;Guang Chen;Zhen Wang;Huan Liu","doi":"10.1109/LCOMM.2026.3681606","DOIUrl":"https://doi.org/10.1109/LCOMM.2026.3681606","url":null,"abstract":"Spectrum sharing-enabled multi-beam management is an effective method to enhance global coverage and spectrum efficiency of satellite-terrestrial integrated network (STIN). However, uneven timevarying traffic, high dynamic network topology, and multi-domain interference pose significant challenges for dynamic beam patterning in multi-LEO STINs. In this paper, we propose a spectrum sharing-enabled cooperative dynamic beam pattern framework where multi-beams of multiple LEO satellites can either fully reuse satellite frequency or share remote terrestrial spectrum. We formulate the cooperative dynamic beam pattern strategy as a joint utility maximization problem of throughput, beam queue load, and delay fairness, achieved through beam assignment, sharing model and power allocation optimization for multi-satellites. To solve the non-convex optimization problem, we provide a collaborative and dynamic beam pattern (CDBP) algorithm based on multi-agent deep reinforcement learning (MADRL). Specifically, CDBP transforms the problem to a decentralized partially observable Markov decision processes (Dec-POMDP) and adopts centralized-training-distributed-execution (CTDE) to address challenge of acquiring global information in multi-satellites. Then, long short-term memory (LSTM) network is introduced into DRL of proximal policy optimization (PPO) model, named MA-LSTM-PPO, which captures temporal dependencies of trajectory and beam queue, guiding to drive optimal beam pattern. Extensive simulation results demonstrate that CDBP algorithm can effectively reduce average queuing delay by 5-15ms compared with existing typical schemes, and adapt to uneven traffic demands in STINs.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"30 ","pages":"1651-1655"},"PeriodicalIF":4.4,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147696513","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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 UAV Trajectory and Spectrum Access for Anti-Jamming Communications: A Heterogeneous MADRL Approach","authors":"Jiatao Du;Li Cui;Yifan Xu;Zhibin Feng;Yuli Zhang;Yangyang Li;Kexin Liang;Yuhua Xu","doi":"10.1109/LCOMM.2026.3674942","DOIUrl":"https://doi.org/10.1109/LCOMM.2026.3674942","url":null,"abstract":"This letter addresses the challenging problem of joint UAV trajectory planning and spectrum access in adversarial environments, where malicious jammers pose a threat. We consider a multi-UAV-assisted communication system where UAVs and ground users (GUs) act as heterogeneous agents collaboratively combating jamming attacks. To maximize network throughput under energy, coverage, access, and signal-to-interference-plus-noise ratio (SINR) constraints, we formulate the problem as a Multi-agent partially observable markov decision process (MAPOMDP). Addressing the intricate coupling in anti-jamming decisions, we propose HAPPO, a novel heterogeneous multi-agent reinforcement learning approach featuring a specifically designed reward function. Simulation results demonstrate that HAPPO significantly outperforms benchmark solutions in terms of both system throughput and energy efficiency, achieving a throughput improvement of approximately 20% over the best baseline.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"30 ","pages":"1642-1646"},"PeriodicalIF":4.4,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147696578","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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":"Density Evolution Analysis of Structured IRSA With Multi-Packet Reception and Orthogonal Pilots","authors":"Alessandro Mirri;Enrico Paolini","doi":"10.1109/LCOMM.2026.3672440","DOIUrl":"https://doi.org/10.1109/LCOMM.2026.3672440","url":null,"abstract":"We present an analytical framework based on density evolution (DE) for irregular repetition slotted ALOHA (IRSA) operating over orthogonal time-frequency resources. A structured IRSA scheme is introduced, in which each active user transmits multiple replicas across a selected subset of slot-subcarriers within a frame. The proposed DE formulation explicitly accounts for multi-packet reception (MPR) and orthogonal pilot selection, extending classical DE analysis to capture the combined effects of structured repetition and MPR-enabled decoding. Monte Carlo simulations, carried out under both idealized and realistic physical-layer conditions, validate the analysis and confirm its accuracy in characterizing and optimizing next-generation random access protocols.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"30 ","pages":"1390-1394"},"PeriodicalIF":4.4,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11428227","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147557423","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Impact of Acceleration and Imperfect CSI on Multidimensional Waveforms in Doubly Dispersive Channel","authors":"Lavanya Mallampalli;Ch Santosh Reddy;Debarati Sen","doi":"10.1109/LCOMM.2026.3696283","DOIUrl":"https://doi.org/10.1109/LCOMM.2026.3696283","url":null,"abstract":"The rapid growth of modern mobile electronic platforms requires reliable and seamless wireless communication links for uninterrupted data exchange for which Orthogonal Time Frequency Space (OTFS) modulation has emerged as a robust waveform due to its resilience in the delay–Doppler domain and <inline-formula> <tex-math>$N$ </tex-math></inline-formula>-dimensional (<inline-formula> <tex-math>$N$ </tex-math></inline-formula>-D) mapper improves performance by increasing the minimum Euclidean distance between constellation points, thereby reducing bit error rate (BER). To enhance the spectral efficiency in doubly dispersive channel, Orbital Angular Momentum (OAM) multiplexing is employed. This letter analyzes the joint effects of platform acceleration and imperfect Channel State Information on <inline-formula> <tex-math>$N$ </tex-math></inline-formula>D-OTFS–OAM systems using simulation-based BER evaluation.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"30 ","pages":"2163-2167"},"PeriodicalIF":4.4,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148236204","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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":"ISI Modeling and BER Performance for Rotating Light-Trail Image Sensor Communication","authors":"Shin Asaoka;Shan Lu;Zhengqiang Tang;Takaya Yamazato","doi":"10.1109/LCOMM.2026.3691874","DOIUrl":"https://doi.org/10.1109/LCOMM.2026.3691874","url":null,"abstract":"Image sensor communication (ISC) employing a propeller-LED transmitter encodes data along rotating light trails. We present an analytical framework that (i) constructs a single-LED, single-blink light trail model that maps optical power to pixel values, and (ii) integrates a probabilistic noise model to derive a closed-form bit-error rate (BER) using the <inline-formula> <tex-math>$Q$ </tex-math></inline-formula>-function. Trimodal pixel-value histograms motivate an adjacent-only inter-symbol interference (ISI) model in which the decision at segment <inline-formula> <tex-math>$j$ </tex-math></inline-formula> depends on adjacent segments. Applying a hardest-pair midpoint threshold yields per-segment BER and a general BER after marginalization. We further provide practical sufficiency conditions under which adjacent-only ISI is adequate, and validate its tightness against Monte Carlo simulations and experimental results. Using the analytical BER, we select the control angle that maximizes throughput while satisfying a target BER reliability constraint.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"30 ","pages":"1984-1988"},"PeriodicalIF":4.4,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148003314","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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":"CSI-Based NOMA-ISAC With AFDM for Multiple Sensing Users","authors":"Enmin Lin;Jie Li;Yide Wang","doi":"10.1109/LCOMM.2026.3697309","DOIUrl":"https://doi.org/10.1109/LCOMM.2026.3697309","url":null,"abstract":"This letter proposes an affine frequency division multiplexing (AFDM)-based non-orthogonal multiple access-integrated sensing and communication scheme for uplink scenarios to overcome the limitations of channel state information-based sensing in high-mobility conditions. The framework enables a communication user and multiple sensing users to share AFDM resources via a novel pilot pattern. Furthermore, an iterative channel estimation algorithm is employed to effectively separate communication and sensing signals. Simulation results confirm that the proposed scheme significantly enhances signal separability and system performance in doubly dispersive channels.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"30 ","pages":"2108-2112"},"PeriodicalIF":4.4,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148171695","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}