{"title":"Channel Customization for Low-Complexity CSI Acquisition in Multi-RIS-Assisted MIMO Systems","authors":"Weicong Chen;Yu Han;Chao-Kai Wen;Xiao Li;Shi Jin","doi":"10.1109/JSAC.2025.3536556","DOIUrl":"10.1109/JSAC.2025.3536556","url":null,"abstract":"The deployment of multiple reconfigurable intelligent surfaces (RISs) enhances the propagation environment by improving channel quality, but it also complicates channel estimation. Following the conventional wireless communication system design, which involves full channel state information (CSI) acquisition followed by RIS configuration, can reduce transmission efficiency due to substantial pilot overhead and computational complexity. This study introduces an innovative approach that integrates CSI acquisition and RIS configuration, leveraging the channel-altering capabilities of the RIS to reduce both the overhead and complexity of CSI acquisition. The focus is on multi-RIS-assisted systems, featuring both direct and reflected propagation paths. By applying a fast-varying reflection sequence during RIS configuration for channel training, the complex problem of channel estimation is decomposed into simpler, independent tasks. These fast-varying reflections effectively isolate transmit signals from different paths, streamlining the CSI acquisition process for both uplink and downlink communications with reduced complexity. In uplink scenarios, a positioning-based algorithm derives partial CSI, informing the adjustment of RIS parameters to create a sparse reflection channel, enabling precise reconstruction of the uplink channel. Downlink communication benefits from this strategically tailored reflection channel, allowing effective CSI acquisition with fewer pilot signals. Simulation results highlight the proposed methodology’s ability to accurately reconstruct the reflection channel with minimal impact on the normalized mean square error while simultaneously enhancing spectral efficiency.","PeriodicalId":73294,"journal":{"name":"IEEE journal on selected areas in communications : a publication of the IEEE Communications Society","volume":"43 3","pages":"851-866"},"PeriodicalIF":0.0,"publicationDate":"2025-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143056655","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Changsheng You;Yunlong Cai;Yuanwei Liu;Marco Di Renzo;Tolga M. Duman;Aylin Yener;A. Lee Swindlehurst
{"title":"Next Generation Advanced Transceiver Technologies for 6G and Beyond","authors":"Changsheng You;Yunlong Cai;Yuanwei Liu;Marco Di Renzo;Tolga M. Duman;Aylin Yener;A. Lee Swindlehurst","doi":"10.1109/JSAC.2025.3536557","DOIUrl":"10.1109/JSAC.2025.3536557","url":null,"abstract":"To accommodate new applications such as extended reality, fully autonomous vehicular networks and the metaverse, next generation wireless networks are going to be subject to much more stringent performance requirements than the fifth-generation (5G) in terms of data rates, reliability, latency, and connectivity. It is thus necessary to develop next generation advanced transceiver (NGAT) technologies for efficient signal transmission and reception. In this tutorial, we explore the evolution of NGAT from three different perspectives. Specifically, we first provide an overview of new-field NGAT technology, which shifts from conventional far-field channel models to new near-field channel models. Then, three new-form NGAT technologies and their design challenges are presented, including reconfigurable intelligent surfaces, flexible antennas, and holographic multi-input multi-output (MIMO) systems. Subsequently, we discuss recent advances in semantic-aware NGAT technologies, which can utilize new metrics for advanced transceiver designs. Finally, we point out other promising transceiver technologies for future research.","PeriodicalId":73294,"journal":{"name":"IEEE journal on selected areas in communications : a publication of the IEEE Communications Society","volume":"43 3","pages":"582-627"},"PeriodicalIF":0.0,"publicationDate":"2025-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10858129","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143056656","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yang Cao;Ziyang Zhang;Xinjiang Xia;Pengzhe Xin;Dongjie Liu;Kang Zheng;Mengting Lou;Jing Jin;Qixing Wang;Dongming Wang;Yongming Huang;Xiaohu You;Jiangzhou Wang
{"title":"Implementation of a Cell-Free RAN System With Distributed Cooperative Transceivers Under ORAN Architecture","authors":"Yang Cao;Ziyang Zhang;Xinjiang Xia;Pengzhe Xin;Dongjie Liu;Kang Zheng;Mengting Lou;Jing Jin;Qixing Wang;Dongming Wang;Yongming Huang;Xiaohu You;Jiangzhou Wang","doi":"10.1109/JSAC.2025.3531525","DOIUrl":"10.1109/JSAC.2025.3531525","url":null,"abstract":"As a key technology for the evolution to the sixth generation (6G) systems, cell-free massive multiple-input multiple-output (CF-mMIMO) can effectively improve the spectrum efficiency, peak rate, and reliability of wireless communication systems. Starting from the scalable implementation of CF-mMIMO, we study a cell-free RAN (CF-RAN) with distributed cooperative transceivers under the open RAN (ORAN) architecture. Through theoretical analysis and numerical simulation, we investigate the uplink and downlink spectral efficiencies of CF-mMIMO with the distributed transceivers. We then discuss the implementation issues of CF-RAN under ORAN architecture, including time-frequency synchronization and over-the-air reciprocity calibration, low layer splitting, deployment of ORAN radio units (O-RU), and artificial intelligent-based user associations. Finally, we present some representative experimental results for the uplink distributed reception and downlink coherent joint transmission of CF-RAN with commercial off-the-shelf O-RUs.","PeriodicalId":73294,"journal":{"name":"IEEE journal on selected areas in communications : a publication of the IEEE Communications Society","volume":"43 3","pages":"765-779"},"PeriodicalIF":0.0,"publicationDate":"2025-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143050318","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Thanh Phung Truong;Thi My Tuyen Nguyen;The Vi Nguyen;Nhu-Ngoc Dao;Sungrae Cho
{"title":"Energy Efficiency in RSMA-Enhanced Active RIS-Aided Quantized Downlink Systems","authors":"Thanh Phung Truong;Thi My Tuyen Nguyen;The Vi Nguyen;Nhu-Ngoc Dao;Sungrae Cho","doi":"10.1109/JSAC.2025.3531522","DOIUrl":"10.1109/JSAC.2025.3531522","url":null,"abstract":"This work explores combining the rate-splitting multiple-access (RSMA) technique with an active reconfigurable intelligent surface (RIS) to improve the quantized multiuser multiple-input single-output network. The active RIS facilitates communication between the base station (BS) and users equipped with low-resolution quantizers, whereas RSMA improves downlink transmission efficiency. By maximizing the spectral efficiency while minimizing the power consumption at the transmitter and active RIS, we formulate an energy efficiency maximization problem by jointly designing the BS precoding matrix and active RIS reflecting matrix. The optimization problem presents nonconvexity, which makes finding the optimal solution challenging. Therefore, we reformulate the problem into a reinforcement learning-based problem that is solvable by applying deep reinforcement learning (DRL) algorithms. To ensure action accuracy, we design a constraint-matching function that integrates with the DRL algorithm, forming a DRL framework securing all problem constraints. To assess the proposed DRL algorithm, we propose an alternating-based solution that decomposes the problem into precoding matrix optimization and active reflecting matrix optimization sub-problems, which are solvable using the successive convex approximation-based method. The performance evaluations demonstrate the convergence and effectiveness of the proposed approaches in various scenarios.","PeriodicalId":73294,"journal":{"name":"IEEE journal on selected areas in communications : a publication of the IEEE Communications Society","volume":"43 3","pages":"834-850"},"PeriodicalIF":0.0,"publicationDate":"2025-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143050102","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Low Dynamic Range for RIS-Aided Bistatic Integrated Sensing and Communication","authors":"Ahmad Bazzi;Marwa Chafii","doi":"10.1109/JSAC.2025.3531533","DOIUrl":"10.1109/JSAC.2025.3531533","url":null,"abstract":"The following paper presents a reconfigurable intelligent surface (RIS)-aided integrated sensing and communication (ISAC) system model scenario, where a base station communicates with a user, and a bi-static sensing unit, i.e. the passive radar (PR), senses targets using downlink signals. Given that the RIS aids with communication and sensing tasks, this paper introduces new interfering paths that can overwhelm the PR with unnecessarily high power, namely the path interference (PI), which is itself a combination of two interfering paths, the direct path interference (DPI) and the reflected path interference (RPI). For this, we formulate an optimization framework that allows the system to carry on with its ISAC tasks, through analog space-time beamforming at the sensing unit, in collaboration with RIS phase shift and statistical transmit covariance matrix optimization, while minimizing the PI power. As the proposed optimization problem is non-convex, we tailor a block-cyclic coordinate descent (BCCD) method to decouple the non-convex sub-problem from the convex one. A Riemannian conjugate gradient method is devised to generate the RIS and PR space-time beamforming phase shifts per BCCD iteration, while the convex sub-problem is solved via off-the-shelf solvers. Simulation results demonstrate the effectiveness of the proposed solver when compared with benchmarking ones.","PeriodicalId":73294,"journal":{"name":"IEEE journal on selected areas in communications : a publication of the IEEE Communications Society","volume":"43 3","pages":"912-927"},"PeriodicalIF":0.0,"publicationDate":"2025-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143050101","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Xiang Peng;Zhijin Qin;Xiaoming Tao;Jianhua Lu;Khaled B. Letaief
{"title":"A Robust Image Semantic Communication System With Multi-Scale Vision Transformer","authors":"Xiang Peng;Zhijin Qin;Xiaoming Tao;Jianhua Lu;Khaled B. Letaief","doi":"10.1109/JSAC.2025.3531413","DOIUrl":"10.1109/JSAC.2025.3531413","url":null,"abstract":"Semantic communications have demonstrated exceptional performance across various tasks, yet they are susceptible to semantic impairments due to the inherent vulnerability of deep neural networks. This paper focuses on semantic impairments in images, particularly those stemming from adversarial perturbations. We introduce a novel metric for quantifying the level of semantic impairment and create a semantic impairment dataset. Furthermore, we propose a deep learning enabled semantic communication system for robust image transmission, termed as DeepSC-RI. The proposed system harnesses a multi-scale semantic extractor with a dual-branch design tailored for extracting semantics with varying granularity, thereby boosting the robustness of the system. The fine-grained branch incorporates a semantic importance evaluation module to identify and prioritize crucial semantics through self-attention score manipulations, while the coarse-grained branch adopts a hierarchical approach for progressively capturing the robust semantics. These two streams of semantics are seamlessly integrated via an advanced cross-attention-based semantic fusion module. Experimental results highlight the superior performance of DeepSC-RI under diverse channel conditions, across various levels of semantic impairment intensity, and in multiple tasks.","PeriodicalId":73294,"journal":{"name":"IEEE journal on selected areas in communications : a publication of the IEEE Communications Society","volume":"43 4","pages":"1278-1291"},"PeriodicalIF":0.0,"publicationDate":"2025-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143030954","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Bocheng Liang;Fuliang Li;Naigong Zheng;Xingwei Wang;Jiannong Cao
{"title":"AutoSRv6: Configuration Synthesis for Segment Routing Over IPv6","authors":"Bocheng Liang;Fuliang Li;Naigong Zheng;Xingwei Wang;Jiannong Cao","doi":"10.1109/JSAC.2025.3528808","DOIUrl":"10.1109/JSAC.2025.3528808","url":null,"abstract":"Segment Routing over IPv6 (SRv6) is an innovative and adaptable source routing technique that enhances interconnection services. It plays a pivotal role in next-generation networking technologies, providing crucial support for network telemetry, computing power networks, and related technologies. The end-to-end connectivity capability of SRv6 is highly regarded by ISPs, driving its widespread deployment in networks. However, configuring an SRv6 network can be challenging and prone to errors due to the complexity of low-level configuration languages and numerous protocol parameters. To address this issue, we present AutoSRv6, a system designed to synthesize SRv6 configurations for large, evolving networks using high-level abstractions of network topology and policies. AutoSRv6 leverages formal constraint-solving techniques and SMT solvers to compute protocol parameters and generate configuration files that align with network policies. Furthermore, AutoSRv6 incorporates a mechanism to overcome the constraints imposed by hardware, mapping the end-to-end path to a SID (Segment Identifier) sequence. We have developed a prototype of AutoSRv6 and conducted experiments on diverse network topologies, evaluating its performance with various network policies. The results show that autoSRv6 can generate the network configuration satisfying the policy, the time cost of IGP synthesis is better than the existing method, and the length of the segment list is optimized by more than 2 times.","PeriodicalId":73294,"journal":{"name":"IEEE journal on selected areas in communications : a publication of the IEEE Communications Society","volume":"43 2","pages":"473-483"},"PeriodicalIF":0.0,"publicationDate":"2025-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143026444","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"6D Movable Antenna Enhanced Wireless Network via Discrete Position and Rotation Optimization","authors":"Xiaodan Shao;Rui Zhang;Qijun Jiang;Robert Schober","doi":"10.1109/JSAC.2025.3531571","DOIUrl":"10.1109/JSAC.2025.3531571","url":null,"abstract":"Six-dimensional movable antenna (6DMA) is an effective approach to improve wireless network capacity by adjusting the 3D positions and three-dimensional (3D) rotations of antennas/antenna surfaces (sub-arrays) based on the users’ spatial distribution and statistical channel information. Although continuously positioning/rotating 6DMA surfaces can achieve the greatest flexibility and thus the highest capacity improvement, it is difficult to implement due to the discrete movement constraints of practical stepper motors. Thus, in this paper, we consider a 6DMA-aided base station (BS) with only a finite number of possible discrete positions and rotations for the 6DMA surfaces. We aim to maximize the average sum rate for random numbers of users at random locations by jointly optimizing the 3D positions and 3D rotations of multiple 6DMA surfaces at the BS subject to discrete movement constraints. In particular, we consider the practical cases with and without statistical channel knowledge of the users, and propose corresponding offline and online optimization algorithms, by leveraging the Monte Carlo and conditional sample mean (CSM) methods, respectively. Simulation results verify the effectiveness of our proposed offline and online algorithms for discrete position/rotation optimization of 6DMA surfaces as compared to various benchmark schemes with fixed-position antennas (FPAs), fluid antennas, and 6DMAs with limited movability. It is shown that 6DMA-BS can significantly enhance wireless network capacity, even under discrete position/rotation constraints, by exploiting the spatial distribution characteristics of the users.","PeriodicalId":73294,"journal":{"name":"IEEE journal on selected areas in communications : a publication of the IEEE Communications Society","volume":"43 3","pages":"674-687"},"PeriodicalIF":0.0,"publicationDate":"2025-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142992751","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Towards Atomic MIMO Receivers","authors":"Mingyao Cui;Qunsong Zeng;Kaibin Huang","doi":"10.1109/JSAC.2025.3531528","DOIUrl":"10.1109/JSAC.2025.3531528","url":null,"abstract":"The advancement of Rydberg atoms in quantum information technology is driving a paradigm shift from classical <italic>radio-frequency</i> (RF) receivers to Rydberg atomic receivers. Capitalizing on the extreme sensitivity of Rydberg atoms to external electromagnetic fields, Rydberg atomic receivers are capable of realizing more precise radio-wave measurements than RF receivers to support high-performance wireless communication and sensing. Although the atomic receiver is developing rapidly in quantum-physics domain, its integration with wireless communications is at a nascent stage. In particular, systematic methods to enhance communication performance through this integration are yet to be discovered. Motivated by this observation, we propose in this paper to incorporate Rydberg atomic receivers into <italic>multiple-input-multiple-output</i> (MIMO) communication, a prominent 5G technology, as the first attempt on implementing atomic MIMO receivers. To begin with, we provide a comprehensive introduction on the principles of Rydberg atomic receivers and build on them to design the atomic MIMO receivers. Our findings reveal that signal detection of atomic MIMO receivers corresponds to a non-linear biased <italic>phase retrieval</i> (PR) problem, as opposed to the linear Gaussian model adopted in classical MIMO systems. Then, to recover signals from this non-linear model, we modify the Gerchberg-Saxton (GS) algorithm, a typical PR solver, into a biased GS algorithm to solve the biased PR problem. Moreover, we propose a novel Expectation-Maximization GS (EM-GS) algorithm to cope with the unique Rician distribution of the biased PR model. Our EM-GS algorithm introduces a high-pass filter constructed by the ratio of Bessel functions into the iteration procedure of GS, thereby improving the detection accuracy without sacrificing the computational efficiency. Finally, the effectiveness of the devised algorithms and the feasibility of atomic MIMO receivers are demonstrated by theoretical analysis and numerical simulation.","PeriodicalId":73294,"journal":{"name":"IEEE journal on selected areas in communications : a publication of the IEEE Communications Society","volume":"43 3","pages":"659-673"},"PeriodicalIF":0.0,"publicationDate":"2025-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142991122","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"OTFS-MDMA: An Elastic Multi-Domain Resource Utilization Mechanism for High Mobility Scenarios","authors":"Jie Chen;Xianbin Wang;Lajos Hanzo","doi":"10.1109/JSAC.2025.3531568","DOIUrl":"10.1109/JSAC.2025.3531568","url":null,"abstract":"By harnessing the delay-Doppler (DD) resource domain, orthogonal time-frequency space (OTFS) substantially improves the communication performance under high-mobility scenarios by maintaining quasi-time-invariant channel characteristics. However, conventional multiple access (MA) techniques fail to efficiently support OTFS in the face of diverse communication requirements. Recently, multi-dimensional MA (MDMA) has emerged as a flexible channel access technique by elastically exploiting multi-domain resources for tailored service provision. Therefore, we conceive an elastic multi-domain resource utilization mechanism for a novel multi-user OTFS-MDMA system by leveraging user-specific channel characteristics across the DD, power, and spatial resource domains. Specifically, we divide all DD resource bins into separate subregions called DD resource slots (RSs), each of which supports a fraction of users, thus reducing the multi-user interference. Then, the most suitable MA, including orthogonal, non-orthogonal, or spatial division MA (OMA/ NOMA/ SDMA), will be selected with each RS based on the interference levels in the power and spatial domains, thus enhancing the spectrum efficiency. Then, we jointly optimize the user assignment, MA scheme selection, and power allocation in all DD RSs to maximize the weighted sum-rate subject to their minimum rate and various practical constraints. Since this results in a non-convex problem, we develop a dynamic programming and monotonic optimization (DPMO) method to find the globally optimal solution in the special case of disregarding rate constraints. Subsequently, we apply a low-complexity algorithm to find sub-optimal solutions in general cases.","PeriodicalId":73294,"journal":{"name":"IEEE journal on selected areas in communications : a publication of the IEEE Communications Society","volume":"43 4","pages":"1405-1420"},"PeriodicalIF":0.0,"publicationDate":"2025-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142991310","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}