{"title":"Channel Correlation Matrix Extrapolation Based on Roughness Calibration of Scatterers","authors":"Heling Zhang, Xiujun Zhang, Xiaofeng Zhong, Shidong Zhou","doi":"arxiv-2409.10900","DOIUrl":"https://doi.org/arxiv-2409.10900","url":null,"abstract":"To estimate the channel correlation matrix (CCM) in areas where channel\u0000information cannot be collected in advance, this paper proposes a way to\u0000spatially extrapolate CCM based on the calibration of the surface roughness\u0000parameters of scatterers in the propagation scene. We calibrate the roughness\u0000parameters of scene scatters based on CCM data in some specific areas. From\u0000these calibrated roughness parameters, we are able to generate a good\u0000prediction of the CCM for any other area in the scene by performing ray\u0000tracing. Simulation results show that the channel extrapolation method proposed\u0000in this paper can effectively realize the extrapolation of the CCM between\u0000different areas in frequency domain, or even from one domain to another.","PeriodicalId":501034,"journal":{"name":"arXiv - EE - Signal Processing","volume":"2 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142251319","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":"Virtual VNA 2.0: Ambiguity-Free Scattering Matrix Estimation by Terminating Inaccessible Ports With Tunable and Coupled Loads","authors":"Philipp del Hougne","doi":"arxiv-2409.10977","DOIUrl":"https://doi.org/arxiv-2409.10977","url":null,"abstract":"We recently introduced the \"Virtual VNA\" concept which estimates the $N\u0000times N$ scattering matrix characterizing an arbitrarily complex linear system\u0000with $N$ monomodal ports by inputting and outputting waves only via\u0000$N_mathrm{A}<N$ ports while terminating the $N_mathrm{S}=N-N_mathrm{A}$\u0000remaining ports with known tunable individual loads. However, vexing\u0000ambiguities about the signs of the off-diagonal scattering coefficients\u0000involving the $N_mathrm{S}$ not-directly-accessible (NDA) ports remained. If\u0000only phase-insensitive measurements were used, an additional blockwise phase\u0000ambiguity ensued. Here, inspired by the emergence of \"beyond-diagonal\u0000reconfigurable intelligent surfaces\" in wireless communications, we lift all\u0000ambiguities with at most $N_mathrm{S}$ additional measurements involving a\u0000known multi-port load network. We experimentally validate our approach based on\u0000an 8-port chaotic cavity, using a simple coaxial cable as two-port load\u0000network. Endowed with the multi-port load network, the \"Virtual VNA 2.0\" is now\u0000able to estimate the entire scattering matrix without any ambiguity, even\u0000without ever measuring phase information explicitly. Potential applications\u0000include the characterization of antenna arrays.","PeriodicalId":501034,"journal":{"name":"arXiv - EE - Signal Processing","volume":"14 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142251324","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}
Arvind Kumar, Nikumani Choudhury, Jayendra N. Bandyopadhyay, S. M. Zafaruddin
{"title":"Meijer-G Function with Continued Product and Integer Exponent: Performance of Multi-Aperture UOWC System over EGG Turbulence","authors":"Arvind Kumar, Nikumani Choudhury, Jayendra N. Bandyopadhyay, S. M. Zafaruddin","doi":"arxiv-2409.11337","DOIUrl":"https://doi.org/arxiv-2409.11337","url":null,"abstract":"Signal transmission over underwater optical wireless communication (UOWC)\u0000experiences the combined effect of oceanic turbulence and pointing errors\u0000statistically modeled using the sum of two Meijer-G functions. There is a\u0000research gap in the exact statistical analysis of multi-aperture UOWC systems\u0000that use selection combining diversity techniques to enhance performance\u0000compared to single-aperture systems. In this paper, we develop a general\u0000framework for the continued product and positive integer exponent for the sum\u0000of Meijer-G functions to analyze the exact statistical performance of the UOWC\u0000system in terms of multivariate Fox-H function for both independent and\u0000non-identically distributed (i.ni.d.) and independent and identically\u0000distributed (i.i.d.) channels. We also approximate the performance of a\u0000multi-aperture UOWC system with i.i.d. channels using the single-variate Fox-H\u0000function. Using the generalized approach, we present analytical expressions for\u0000average bit-error rate (BER) and ergodic capacity for the considered system\u0000operating over exponential generalized gamma (EGG) oceanic turbulence combined\u0000with zero-boresight pointing errors. We also develop asymptotic expressions for\u0000the average BER at a high signal-to-noise (SNR) to capture insights into the\u0000system's performance. Our simulation findings confirm the accuracy of our\u0000derived expressions and illustrate the impact of turbulence parameters for\u0000i.ni.d. and i.i.d. models for the average BER and ergodic capacity, which may\u0000provide a better estimate for the efficient deployment of UOWC.","PeriodicalId":501034,"journal":{"name":"arXiv - EE - Signal Processing","volume":"41 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142251313","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}
Geraldo Gomes, Pedro Freire, Jaroslaw E. Prilepsky, Sergei K. Turitsyn
{"title":"Geometric Clustering for Hardware-Efficient Implementation of Chromatic Dispersion Compensation","authors":"Geraldo Gomes, Pedro Freire, Jaroslaw E. Prilepsky, Sergei K. Turitsyn","doi":"arxiv-2409.10416","DOIUrl":"https://doi.org/arxiv-2409.10416","url":null,"abstract":"Power efficiency remains a significant challenge in modern optical fiber\u0000communication systems, driving efforts to reduce the computational complexity\u0000of digital signal processing, particularly in chromatic dispersion compensation\u0000(CDC) algorithms. While various strategies for complexity reduction have been\u0000proposed, many lack the necessary hardware implementation to validate their\u0000benefits. This paper provides a theoretical analysis of the tap overlapping\u0000effect in CDC filters for coherent receivers, introduces a novel Time-Domain\u0000Clustered Equalizer (TDCE) technique based on this concept, and presents a\u0000Field-Programmable Gate Array (FPGA) implementation for validation. We\u0000developed an innovative parallelization method for TDCE, implementing it in\u0000hardware for fiber lengths up to 640 km. A fair comparison with the\u0000state-of-the-art frequency domain equalizer (FDE) under identical conditions is\u0000also conducted. Our findings highlight that implementation strategies,\u0000including parallelization and memory management, are as crucial as\u0000computational complexity in determining hardware complexity and energy\u0000efficiency. The proposed TDCE hardware implementation achieves up to 70.7%\u0000energy savings and 71.4% multiplier usage savings compared to FDE, despite its\u0000higher computational complexity.","PeriodicalId":501034,"journal":{"name":"arXiv - EE - Signal Processing","volume":"41 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142251368","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":"Stimulus Modality Matters: Impact of Perceptual Evaluations from Different Modalities on Speech Emotion Recognition System Performance","authors":"Huang-Cheng Chou, Haibin Wu, Chi-Chun Lee","doi":"arxiv-2409.10762","DOIUrl":"https://doi.org/arxiv-2409.10762","url":null,"abstract":"Speech Emotion Recognition (SER) systems rely on speech input and emotional\u0000labels annotated by humans. However, various emotion databases collect\u0000perceptional evaluations in different ways. For instance, the IEMOCAP dataset\u0000uses video clips with sounds for annotators to provide their emotional\u0000perceptions. However, the most significant English emotion dataset, the\u0000MSP-PODCAST, only provides speech for raters to choose the emotional ratings.\u0000Nevertheless, using speech as input is the standard approach to training SER\u0000systems. Therefore, the open question is the emotional labels elicited by which\u0000scenarios are the most effective for training SER systems. We comprehensively\u0000compare the effectiveness of SER systems trained with labels elicited by\u0000different modality stimuli and evaluate the SER systems on various testing\u0000conditions. Also, we introduce an all-inclusive label that combines all labels\u0000elicited by various modalities. We show that using labels elicited by\u0000voice-only stimuli for training yields better performance on the test set,\u0000whereas labels elicited by voice-only stimuli.","PeriodicalId":501034,"journal":{"name":"arXiv - EE - Signal Processing","volume":"6 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142251367","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}
Islam M. Tanash, Ayush Kumar Dwivedi, Fatemeh Rafiei Maleki, Taneli Riihonen
{"title":"Enhancing HAP Networks with Reconfigurable Intelligent Surfaces","authors":"Islam M. Tanash, Ayush Kumar Dwivedi, Fatemeh Rafiei Maleki, Taneli Riihonen","doi":"arxiv-2409.10040","DOIUrl":"https://doi.org/arxiv-2409.10040","url":null,"abstract":"This paper presents and analyzes a reconfigurable intelligent surface\u0000(RIS)-based high-altitude platform (HAP) network. Stochastic geometry is used\u0000to model the arbitrary locations of the HAPs and RISs as a homogenous Poisson\u0000point process. Considering that the links between the HAPs, RISs, and users are\u0000$kappa$--$mu$ faded, the coverage and ergodic capacity of the proposed system\u0000are expressed. The analytically derived performance measures are verified\u0000through Monte Carlo simulations. Significant improvements in system performance\u0000and the impact of system parameters are demonstrated in the results. Thus, the\u0000proposed system concept can improve connectivity and data offloading in smart\u0000cities and dense urban environments.","PeriodicalId":501034,"journal":{"name":"arXiv - EE - Signal Processing","volume":"6 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142251376","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":"Exploiting Beam-Split in IRS-aided Systems via OFDMA","authors":"P. Siddhartha, L. Yashvanth, Chandra R. Murthy","doi":"arxiv-2409.10404","DOIUrl":"https://doi.org/arxiv-2409.10404","url":null,"abstract":"In wideband systems operating at mmWave frequencies, intelligent reflecting\u0000surfaces (IRSs) equipped with many passive elements can compensate for channel\u0000propagation losses. Then, a phenomenon known as the beam-split (B-SP) occurs in\u0000which the phase shifters at the IRS elements fail to beamform at a desired user\u0000equipment (UE) over the total allotted bandwidth (BW). Although B-SP is usually\u0000seen as an impairment, in this paper, we take an optimistic view and exploit\u0000the B-SP effect to enhance the system performance via an orthogonal frequency\u0000division multiple access (OFDMA). We argue that due to the B-SP, when an IRS is\u0000tuned to beamform at a particular angle on one frequency, it also forms beams\u0000in different directions on other frequencies. Then, by opportunistically\u0000scheduling different UEs on different subcarriers (SCs), we show that, almost\u0000surely, the optimal array gain that scales quadratically in the number of IRS\u0000elements can be achieved on all SCs in the system. We derive the achievable\u0000throughput of the proposed scheme and deduce that the system also enjoys\u0000additional multi-user diversity benefits on top of the optimal beamforming gain\u0000over the full BW. Finally, we verify our findings via numerical simulations.","PeriodicalId":501034,"journal":{"name":"arXiv - EE - Signal Processing","volume":"88 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142251373","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}
Nianzu Li, Peiran Wu, Boyu Ning, Lipeng Zhu, Weidong Mei
{"title":"Over-the-Air Computation via 2D Movable Antenna Array","authors":"Nianzu Li, Peiran Wu, Boyu Ning, Lipeng Zhu, Weidong Mei","doi":"arxiv-2409.10351","DOIUrl":"https://doi.org/arxiv-2409.10351","url":null,"abstract":"Movable antenna (MA) has emerged as a promising technology for improving the\u0000performance of wireless communication systems, which enables local movement of\u0000the antennas to create more favorable channel conditions. In this letter, we\u0000advance its application for over-the-air computation (AirComp) network, where\u0000an access point is equipped with a two-dimensional (2D) MA array to aggregate\u0000wireless data from massive users. We aim to minimize the computation mean\u0000square error (CMSE) by jointly optimizing the antenna position vector (APV),\u0000the receive combining vector at the access point and the transmit coefficients\u0000from all users. To tackle this highly non-convex problem, we propose a two-loop\u0000iterative algorithm, where the particle swarm optimization (PSO) approach is\u0000leveraged to obtain a suboptimal APV in the outer loop while the receive\u0000combining vector and transmit coefficients are alternately optimized in the\u0000inner loop. Numerical results demonstrate that the proposed MA-enhanced AirComp\u0000network outperforms the conventional network with fixed-position antennas\u0000(FPAs).","PeriodicalId":501034,"journal":{"name":"arXiv - EE - Signal Processing","volume":"10857 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142251369","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":"On the Bit Error Probability of DMA-Based Systems","authors":"Nemanja Stefan Perović","doi":"arxiv-2409.10112","DOIUrl":"https://doi.org/arxiv-2409.10112","url":null,"abstract":"Dynamic metasurface antennas (DMAs) are an alternative application of\u0000metasurfaces as active reconfigurable antennas with advanced analog signal\u0000processing and beamforming capabilities, which have been proposed to replace\u0000conventional antenna arrays for next generation transceivers. Motivated by\u0000this, we investigate the bit error probability (BEP) optimization in a\u0000DMA-based system, propose an iterative optimization algorithm, which adjusts\u0000the transmit precoder and the weights of the DMA elements, prove its\u0000convergence and derive complexity.","PeriodicalId":501034,"journal":{"name":"arXiv - EE - Signal Processing","volume":"17 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142251380","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}
Wenrui Yu, Richard Heusdens, Jun Pang, Qiongxiu Li
{"title":"Privacy-Preserving Distributed Maximum Consensus Without Accuracy Loss","authors":"Wenrui Yu, Richard Heusdens, Jun Pang, Qiongxiu Li","doi":"arxiv-2409.10226","DOIUrl":"https://doi.org/arxiv-2409.10226","url":null,"abstract":"In distributed networks, calculating the maximum element is a fundamental\u0000task in data analysis, known as the distributed maximum consensus problem.\u0000However, the sensitive nature of the data involved makes privacy protection\u0000essential. Despite its importance, privacy in distributed maximum consensus has\u0000received limited attention in the literature. Traditional privacy-preserving\u0000methods typically add noise to updates, degrading the accuracy of the final\u0000result. To overcome these limitations, we propose a novel distributed\u0000optimization-based approach that preserves privacy without sacrificing\u0000accuracy. Our method introduces virtual nodes to form an augmented graph and\u0000leverages a carefully designed initialization process to ensure the privacy of\u0000honest participants, even when all their neighboring nodes are dishonest.\u0000Through a comprehensive information-theoretical analysis, we derive a\u0000sufficient condition to protect private data against both passive and\u0000eavesdropping adversaries. Extensive experiments validate the effectiveness of\u0000our approach, demonstrating that it not only preserves perfect privacy but also\u0000maintains accuracy, outperforming existing noise-based methods that typically\u0000suffer from accuracy loss.","PeriodicalId":501034,"journal":{"name":"arXiv - EE - Signal Processing","volume":"26 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142251384","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}