{"title":"Image-Based VLC Signal Demodulation Using Machine Learning","authors":"Kaleem Ullah;Maaz Salman;Javad Bolboli;Wan-Young Chung","doi":"10.1109/LCOMM.2024.3504524","DOIUrl":"https://doi.org/10.1109/LCOMM.2024.3504524","url":null,"abstract":"Demodulation of visible light communication (VLC) signals using intensity modulation direct detection is limited by the noise inherent in the signal. To address this issue, we propose an enhanced machine learning (ML) image-based demodulator for on-off keying (OOK) modulated VLC signals. We designed and implemented a transmitter and receiver equipped with sensors to collect real-time environmental data. The transmission distance is varied, and the received waveform is converted into images. To minimize the computational load of the demodulator, we apply bicubic interpolation and image thresholding techniques to these images. Subsequently, we developed an ML-based demodulator using MobileNetV2 and trained the model with the collected dataset. To enhance the model’s versatility and accuracy, we used data augmentation techniques. Experimental results indicate that the proposed ML-driven demodulator significantly extends the communication range and increases noise tolerance, achieving a demodulation accuracy of 97.58%.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 1","pages":"145-149"},"PeriodicalIF":3.7,"publicationDate":"2024-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142938512","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":"Strategic Backoff of Slotted ALOHA for Minimal Age of Information","authors":"Alessandro Buratto;Andrea Munari;Leonardo Badia","doi":"10.1109/LCOMM.2024.3504745","DOIUrl":"https://doi.org/10.1109/LCOMM.2024.3504745","url":null,"abstract":"Random access protocols are usually adopted in the Internet of Things to enable uncoordinated medium sharing. Tackling this setting, we explore the statistics of the packet inter-delivery times under slotted ALOHA contention, considering two backoff schemes (reactive vs. proactive). We further discuss the efficiency of these schemes in minimizing the average age of information. Finally, we investigate age minimization both as a centralized optimization and via game theory, obtaining numerical solutions for both cases. A reactive scheme applied in a centralized manner is found to be the most suitable to systems that require a bounded age, whereas a proactive solution applied distributedly is best used to minimize the average age.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 1","pages":"155-159"},"PeriodicalIF":3.7,"publicationDate":"2024-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10764733","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142938514","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":"Full-Duplex Beyond Self-Interference: The Unlimited Sensing Way","authors":"Ziang Liu;Ayush Bhandari;Bruno Clerckx","doi":"10.1109/LCOMM.2024.3505054","DOIUrl":"https://doi.org/10.1109/LCOMM.2024.3505054","url":null,"abstract":"The success of full-stack full-duplex communication systems depends on how effectively one can achieve digital self-interference cancellation (SIC). Towards this end, in this letter, we consider unlimited sensing framework (USF) enabled full-duplex system. We show that by injecting folding non-linearities in the sensing pipeline, one can not only suppress self-interference but also recover the signal of interest (SoI). This approach leads to novel design of the receiver architecture that is complemented by a modulo-domain channel estimation method. We then demonstrate the advantages of \u0000<inline-formula> <tex-math>$mathscr {M}_{lambda } $ </tex-math></inline-formula>\u0000-ADC by analyzing the relationship between quantization noise, quantization bits, and dynamic range. Numerical experiments show that the USF enabled receiver structure can achieve up to 40 dB digital SIC by using as few as 4-bits per sample. Our method outperforms the previous approach based on adaptive filters when it comes to digital SIC performance, SoI reconstruction, and detection.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 1","pages":"165-169"},"PeriodicalIF":3.7,"publicationDate":"2024-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142938515","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":"Information Rates of Channels With Additive White Cauchy Noise","authors":"Shuqin Pang;Wenyi Zhang","doi":"10.1109/LCOMM.2024.3502753","DOIUrl":"https://doi.org/10.1109/LCOMM.2024.3502753","url":null,"abstract":"Information transmission over discrete-time channels with memoryless additive noise obeying a Cauchy, rather than Gaussian, distribution, are studied. The channel input satisfies an average power constraint. Upper and lower bounds to such additive white Cauchy noise (AWCN) channel capacity are established. In the high input power regime, the gap between upper and lower bounds is within 0.5 nats per channel use, and the lower bound can be achieved with Gaussian input. In the lower input power regime, the capacity can be asymptotically approached by employing antipodal input. It is shown that the AWCN decoder can be applied to additive white Gaussian noise (AWGN) channels with negligible rate loss, while the AWGN decoder when applied to AWCN channels cannot ensure reliable decoding. For the vector receiver case, it is shown that a linear combining receiver front end loses the channel combining gain, a phenomenon drastically different from AWGN vector channels.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 1","pages":"115-119"},"PeriodicalIF":3.7,"publicationDate":"2024-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142940872","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":"Secure Indoor Localization Against Adversarial Attacks Using DCGAN","authors":"Qingli Yan;Wang Xiong;Hui-Ming Wang","doi":"10.1109/LCOMM.2024.3503721","DOIUrl":"https://doi.org/10.1109/LCOMM.2024.3503721","url":null,"abstract":"The vulnerability of deep learning-based indoor Wi-Fi fingerprint localization methods to adversarial attacks significantly reduces localization performance. To overcome this challenge, we propose a defense strategy employing a deep convolutional generative adversarial network (DCGAN) to enhance the security of channel state information (CSI)-based localization methods while maintaining accuracy. Our approach eliminates adversarial perturbations before the adversarial samples are fed into the deep learning model for localization. The localization performance of the proposed DCGAN is evaluated through experiments conducted with commodity Wi-Fi devices in representative indoor environments. Experimental results demonstrate that the DCGAN model effectively mitigates adversarial interference while maintaining excellent localization accuracy under two white-box attacks and one black-box attack.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 1","pages":"130-134"},"PeriodicalIF":3.7,"publicationDate":"2024-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142938365","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":"Constellation Constraint-Based Superposed 32QAM Scheme for NOMA System","authors":"Chuxian Wang;Honghao Shi;Zhiyong Luo","doi":"10.1109/LCOMM.2024.3503285","DOIUrl":"https://doi.org/10.1109/LCOMM.2024.3503285","url":null,"abstract":"In this letter, an odd-order superposed modulation scheme is studied in non-orthogonal multiple access (NOMA) system. Firstly, we design a novel superposed 32-quadrature amplitude modulation (QAM) constellation superposed by a novel 8QAM and quadrature phase shift keying (QPSK), where joint coding between QPSK and 8QAM is performed for 8QAM signal rotation. Then, a simplified optimal power allocation algorithm is given by maximizing the constellation constrained (CC) capacity at high SNR for obtaining optimal superposed constellation. Comparing with the superposed 32-phase-shift keying (PSK) scheme, our proposed scheme employing successive interference cancellation (SIC) for detection has a lower decoding complexity. Moreover, a wider power coefficient ratio range at the threshold of mutual information (MI) greater than 4.98 is achieved by our proposed scheme. It also demonstrates that the MI and BER performances of proposed scheme outperform than those of the other three schemes when the power coefficient ratio is optimal at high signal-to-noise ratio (SNR).","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 1","pages":"120-124"},"PeriodicalIF":3.7,"publicationDate":"2024-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142938507","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":"Enhancing Sum-Rate Performance in Constrained Multicell Networks: A Low-Information Exchange Approach","authors":"Youjin Kim;Jonggyu Jang;Hyun Jong Yang","doi":"10.1109/LCOMM.2024.3503656","DOIUrl":"https://doi.org/10.1109/LCOMM.2024.3503656","url":null,"abstract":"Despite the extensive research on massive multi-input multi-output (MIMO) systems for 5G telecommunications and beyond, the reality is that many deployed base stations are equipped with a limited number of antennas rather than supporting massive MIMO configurations. Furthermore, while the cell-less network concept, which eliminates cell boundaries, is under investigation, practical deployments often grapple with significantly limited backhaul connection capacities between base stations. This letter explores techniques to maximize the sum-rate performance within the constraints of these more realistically equipped multicell networks. We propose an innovative approach that dramatically reduces the need for information exchange between base stations to a mere few bits, in stark contrast to conventional methods that require the exchange of hundreds of bits. Our proposed method not only addresses the limitations imposed by current network infrastructure but also showcases significantly improved performance under these constrained conditions.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 1","pages":"125-129"},"PeriodicalIF":3.7,"publicationDate":"2024-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142938508","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":"Energy Efficiency Optimization for URLLC in RIS-Aided User-Centric Networks","authors":"Tao Luo;Hancheng Lu;Baolin Chong","doi":"10.1109/LCOMM.2024.3502716","DOIUrl":"https://doi.org/10.1109/LCOMM.2024.3502716","url":null,"abstract":"User-centric networking is expected to be a promising technology to implement ultra-reliable and low-latency communication (URLLC). However, the densely deployed access points (APs) in a user-centric network (UCN) will involve significant hardware costs and energy consumption. To address this issue, we propose a reconfigurable intelligent surface (RIS)-aided UCN for URLLC. Then, a joint optimization problem with consideration of active beamforming at APs and passive beamforming at RISs is formulated to achieve optimal energy efficiency (EE). Since the problem is intractable and non-convex, we develop an alternating optimization algorithm based on the inner approximation framework to solve it efficiently. Numerical results verify that the proposed algorithm outperforms baseline algorithms regarding EE. Particularly, with the proposed algorithm, our RIS-aided UCN achieves up to 147% performance gains in terms of EE compared to traditional UCN.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 1","pages":"110-114"},"PeriodicalIF":3.7,"publicationDate":"2024-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142940867","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":"Joint Location and Beamforming Design for Energy Efficient STAR-RIS-Aided ISAC Systems","authors":"Qin Zhang;Han Wu;Hai Li;Zhengyu Song;Shujuan Hou","doi":"10.1109/LCOMM.2024.3503754","DOIUrl":"https://doi.org/10.1109/LCOMM.2024.3503754","url":null,"abstract":"In this letter, we investigate a simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) aided integrated sensing and communication (ISAC) system. Our object is to maximize the energy efficiency (EE) of the ISAC system by jointly optimizing the beamforming at the base station (BS), the transmitting/reflecting coefficient matrices of the STAR-RIS, as well as the deployment location of the STAR-RIS. Since the formulated problem is non-convex, we propose an alternative optimization scheme by decomposing the original problem into three sub-problems, where the sub-problems are solved based on semidefinite relaxation (SDR) and fractional programming. Simulation results demonstrate that the STAR-RIS aided ISAC system achieves a higher EE than conventional RIS scheme, and the location optimization for STAR-RIS can significantly improve the system EE. Furthermore, the EE declines rapidly when the radar beampattern gain threshold increases to a larger value.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 1","pages":"140-144"},"PeriodicalIF":3.7,"publicationDate":"2024-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142938510","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":"THz-RF Cooperative NOMA Communication System Incorporating Practical Constraints","authors":"Isha Khirwar;Akash Gupta;Aryan Bansal;Parul Garg;Bharat Verma","doi":"10.1109/LCOMM.2024.3503727","DOIUrl":"https://doi.org/10.1109/LCOMM.2024.3503727","url":null,"abstract":"In this letter, we propose a novel communication system for multiple Non-Orthogonal Multiple Access (NOMA)-based end-users, leveraging a mixed THz-RF wireless communication approach. The THz link serves as the backhaul communication link and is characterized by an \u0000<inline-formula> <tex-math>$alpha -mu $ </tex-math></inline-formula>\u0000 fading channel, path loss, absorption loss, and pointing errors. The sub-6 GHz RF carrier has been utilized for end-user connectivity. We incorporate hardware impairments (HI), channel state information (CSI) and, successive interference cancellation (SIC) errors at the receiver to capture realistic operating conditions. We have presented a mathematical framework for outage probability and average bit error rate and the asymptotic results to evaluate the proposed system’s effectiveness. The results are analyzed for various system parameters to provide further insights into system performance. Further, Monte Carlo simulations are performed to validate the analytical results.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 1","pages":"135-139"},"PeriodicalIF":3.7,"publicationDate":"2024-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142938511","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}