Hakim Jemaa;Simon Tarboush;Hadi Sarieddeen;Mohamed-Slim Alouini;Tareq Y. Al-Naffouri
{"title":"Performance Analysis of Outdoor THz Links Under Mixture Gamma Fading With Misalignment","authors":"Hakim Jemaa;Simon Tarboush;Hadi Sarieddeen;Mohamed-Slim Alouini;Tareq Y. Al-Naffouri","doi":"10.1109/LCOMM.2024.3454009","DOIUrl":"10.1109/LCOMM.2024.3454009","url":null,"abstract":"Accurate link-level theoretical performance analysis is crucial for emerging wireless communication systems. We present a detailed study of outdoor point-to-point terahertz (THz) links, incorporating mixture gamma (MG) small-scale fading and misalignment effects. Closed-form expressions for bit-error probability, outage probability, and ergodic capacity are derived. Furthermore, we conduct an asymptotic analysis at high signal-to-noise ratios, highlighting the convergence conditions. Simulation results, using measurement-based channel parameters, validate the analytical findings across various configurations.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"28 11","pages":"2668-2672"},"PeriodicalIF":3.7,"publicationDate":"2024-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142190011","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 Power Optimization and Subcarrier Allocation for URLLC in Cell-Free Massive MIMO System","authors":"Longlong Cao;Jiaxing Fang;Yan Wang;Pengcheng Zhu","doi":"10.1109/LCOMM.2024.3452754","DOIUrl":"10.1109/LCOMM.2024.3452754","url":null,"abstract":"In this letter, we propose a joint power optimization and subcarrier allocation algorithm for cell-free massive multiple-input multiple-output systems in the ultra-reliable and low-latency communication (URLLC) scenario. Considering the bursty and stochastic character of URLLC traffic, we employ a proactive packet dropping mechanism to address the queueing issue of URLLC packets within deep fading channels, where the required transmit power to guarantee queueing delay and transmission error probability becomes unbounded. Therefore, we formulate an optimization problem to minimize the required maximal transmit power and the queueing delay by optimizing the packet loss policy, power, and bandwidth allocation policies. Simulation results validate our analysis and show that the proposed algorithm can effectively reduce the required maximal transmit power to meet the requirements of URLLC, and that spatial diversity contributes to reducing the complexity of the proposed algorithm.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"28 10","pages":"2323-2327"},"PeriodicalIF":3.7,"publicationDate":"2024-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142190014","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}
Yongkang Li;Zheng Shi;Han Hu;Yaru Fu;Hong Wang;Hongjiang Lei
{"title":"Secure Semantic Communications: From Perspective of Physical Layer Security","authors":"Yongkang Li;Zheng Shi;Han Hu;Yaru Fu;Hong Wang;Hongjiang Lei","doi":"10.1109/LCOMM.2024.3452715","DOIUrl":"10.1109/LCOMM.2024.3452715","url":null,"abstract":"Semantic communications have been envisioned as a potential technique that goes beyond Shannon paradigm. Unlike modern communications that provide bit-level security, the eavesdropping of semantic communications poses a significant risk of potentially exposing intention of legitimate user. To address this challenge, a novel deep neural network (DNN) enabled secure semantic communication (DeepSSC) system is developed by capitalizing on physical layer security. To balance the tradeoff between security and reliability, a two-phase training method for DNNs is devised. Particularly, Phase I aims at semantic recovery of legitimate user, while Phase II attempts to minimize the leakage of semantic information to eavesdroppers. The loss functions of DeepSSC in Phases I and II are respectively designed according to Shannon capacity and secure channel capacity, which are approximated with variational inference. Moreover, we define the metric of secure bilingual evaluation understudy (S-BLEU) to assess the security of semantic communications. Finally, simulation results demonstrate that DeepSSC achieves a significant boost to semantic security particularly in high signal-to-noise ratio regime, despite a minor degradation of reliability.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"28 10","pages":"2243-2247"},"PeriodicalIF":3.7,"publicationDate":"2024-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142190019","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":"Movable Antenna-Enabled Co-Frequency Co-Time Full-Duplex Wireless Communication","authors":"Jingze Ding;Zijian Zhou;Wenyao Li;Chenbo Wang;Lifeng Lin;Bingli Jiao","doi":"10.1109/LCOMM.2024.3453296","DOIUrl":"10.1109/LCOMM.2024.3453296","url":null,"abstract":"Movable antenna (MA) provides an innovative way to arrange antennas that can contribute to improved signal quality and more effective interference management. This technology is especially beneficial for co-frequency co-time full-duplex (CCFD) wireless communication, which struggles with self-interference (SI) that usually overpowers the desired incoming signals. By dynamically repositioning transmit/receive antennas, we can mitigate the SI and enhance the reception of incoming signals. Thus, this letter proposes a novel MA-enabled point-to-point CCFD system and formulates the minimum achievable rate of two CCFD terminals. To maximize the minimum achievable rate and determine the positions of MAs, we introduce a solution based on projected particle swarm optimization (PPSO), which can circumvent common suboptimal positioning issues. Moreover, simulation results reveal that the PPSO method leads to better performance compared to the conventional alternating position optimization (APO). The results also demonstrate that an MA-enabled CCFD system outperforms the one using fixed-position antennas (FPAs).","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"28 10","pages":"2412-2416"},"PeriodicalIF":3.7,"publicationDate":"2024-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142190012","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}
M. Hemanta Kumar;Alok Kumar;Sanjeev Sharma;Mogadala Vinod Kumar
{"title":"Performance Analysis of a Spatial Modulation Aided Cooperative NOMA System","authors":"M. Hemanta Kumar;Alok Kumar;Sanjeev Sharma;Mogadala Vinod Kumar","doi":"10.1109/LCOMM.2024.3452127","DOIUrl":"10.1109/LCOMM.2024.3452127","url":null,"abstract":"In this letter, a novel communication scheme termed spatial modulation aided cooperative non-orthogonal multiple access (SM-CNOMA) is proposed for multiple-input and multiple-output (MIMO) downlink scenarios. In the SM-CNOMA system, the base station (BS) transmits information to three users across two time-slots, encompassing two near users (NUs) and a single far user (FU). Notably, NUs operate in a half-duplex mode and employ joint signal detection during the cooperative phase for decoding, and forward FU information through index modulation (IM). Bit error rate (BER) and ergodic sum-rate metrics are derived, by considering inter-user interference (IUI), of the proposed SM-CNOMA system. The impact of various system parameters, such as the number of transmit and receive antennas, is thoroughly analyzed within the SM-CNOMA framework. The presented results demonstrate that SM-CNOMA outperforms conventional CNOMA with three users and the precoded CNOMA (PCNOMA) systems. This letter contributes valuable insights into the potential benefits of SM-CNOMA in MIMO downlink communications, establishing its efficiency in mitigating interference and enhancing the overall system performance.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"28 10","pages":"2273-2277"},"PeriodicalIF":3.7,"publicationDate":"2024-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142190016","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 Signal Detection in MIMO Systems: AI vs Approximate and Linear Detectors","authors":"M. Y. Daha;Kiran Khurshid;M. I. Ashraf;M. U. Hadi","doi":"10.1109/LCOMM.2024.3451655","DOIUrl":"10.1109/LCOMM.2024.3451655","url":null,"abstract":"Artificial intelligence has transformed multiple input multiple output (MIMO) technology into a promising candidate for six-generation networks. However, several interference signals impact the data transmission between various antennas; therefore, sophisticated signal detection techniques are required at the MIMO receiver to estimate the transmitted data. This letter presents an optimized AI-based signal detection technique called AIDETECT for MIMO systems. The proposed AIDETECT network model is developed based on an optimized deep neural network (DNN) architecture, whose efficiency lies in its lightweight network architecture. To train and test the AIDETECT network model, we generate and process the data in a suitable form based on the transmitted signal, channel information, and noise. Based on this data, we calculate the received signal at the receiver end, where the received signal and channel information were integrated into the AIDETECT network model to perform reliable signal detection. Simulation results show that at a 20-dB signal-to-noise ratio (SNR), the proposed AIDETECT technique achieves between 97.33% to 99.99% better performance compared to conventional MIMO detectors and is also able to accomplish between 25.34% to 99.98% better performance than other AI-based MIMO detectors for the considered performance metrics. In addition, due to lightweight network architecture, the proposed AIDETECT technique has also achieved much lower computational complexity than conventional and AI-based MIMO detectors.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"28 10","pages":"2387-2391"},"PeriodicalIF":3.7,"publicationDate":"2024-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142190017","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":"Moment Converging Enabled Parametric Mapping for Channel Model Substitution","authors":"Rong Yang;Shuping Dang;Jia Ye;Peng Wang","doi":"10.1109/LCOMM.2024.3451510","DOIUrl":"10.1109/LCOMM.2024.3451510","url":null,"abstract":"Channel model substitution (CMS) is an analytical technique aiming to replace a computationally complex channel model with a simpler substitute. The utility of CMS is affected by the parametric relations between the original channel model and its substitute. In this letter, we propose a moment converging criterion to enable parametric mapping for a general CMS problem. Instead of solving an equation system to yield the analytical solutions by moment matching, we formulate and minimize the moment mean squared error (MMSE) between the original channel model and its substitute to obtain parametric mapping relations. The moment converging enabled parametric mapping approach offers a surrogate way to enable parametric mapping for CMS, which is, in particular, helpful when the moment matching equation system is too cumbersome to solve and/or has no feasible solution. Taking three CMS applications as examples, the effectiveness and efficiency of the moment converging enabled parametric mapping for CMS are verified.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"28 10","pages":"2248-2252"},"PeriodicalIF":3.7,"publicationDate":"2024-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142190023","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":"Robust Beamforming and Rate Optimization for RIS-Aided Symbiotic Radio Systems With RSMA","authors":"Yongjun Xu;Mingyang Wang;Yunjian Jia;Yi Jin;Ruiqian Ma;Yijie Mao;Chau Yuen","doi":"10.1109/LCOMM.2024.3451700","DOIUrl":"10.1109/LCOMM.2024.3451700","url":null,"abstract":"In this letter, we propose a robust beamforming and rate optimization algorithm to improve spectral efficiency and transmission robustness by applying rate-splitting multiple access (RSMA) in reconfigurable intelligent surface (RIS)-aided symbiotic radio systems. Specifically, RSMA is used to serve all primary receivers on the same spectrum resource. Then, we formulate an optimization problem to minimize the total transmit power via the phase shift matrix of RIS, the beamforming vector of the base station, and the common rate parameter. To deal with this non-convex problem, we present an iteration-based optimization algorithm based on successive convex approximation and the alternating optimization method. Simulation results demonstrate that the proposed algorithm has 17.2% reduction in transmission power and 6.58% increase in the common rate compared to the other algorithms.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"28 10","pages":"2328-2332"},"PeriodicalIF":3.7,"publicationDate":"2024-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142190021","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":"Cross Near- and Far-Field Beamforming for Wideband Multi-User Terahertz Communications","authors":"Junhan Xie;Chunbo Luo;Yang Luo","doi":"10.1109/LCOMM.2024.3451696","DOIUrl":"10.1109/LCOMM.2024.3451696","url":null,"abstract":"Terahertz (THz) and sub-THz communications are visioned as the key technologies for the next generation mobile networks (6G). However, the sub-millimeter wavelength of THz and the enlarged array aperture of ultra-massive MIMO increase the Rayleigh distance, thereby making the working coverage of THz systems cross the near-field and far-field. Meanwhile, the beam split issue arisen in THz beamforming significantly impacts the system performance. Although the beam split issue in the near-field and far-field has been studied separately, it still remains a significant challenge for seamless cross-field communications. In this letter, we propose a novel wideband THz cross-field communication scheme for multiple users. An alternating optimization algorithm is proposed to maximize the sum-rate, which decomposes the original non-convex problem into three subproblems. The solutions to these subproblems are obtained by successive convex approximation, fractional programming and majorization minimization techniques. Simulation results demonstrate that our proposed scheme can achieve cross-field communication effectively.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"28 10","pages":"2397-2401"},"PeriodicalIF":3.7,"publicationDate":"2024-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142190022","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}
Ali Asgher Mohammed;Mirza Wasay Baig;Muhammad Abdullah Sohail;Syed Asad Ullah;Haejoon Jung;Syed Ali Hassan
{"title":"Navigating Boundaries in Quantifying Robustness: A DRL Expedition for Non-Linear Energy Harvesting IoT Networks","authors":"Ali Asgher Mohammed;Mirza Wasay Baig;Muhammad Abdullah Sohail;Syed Asad Ullah;Haejoon Jung;Syed Ali Hassan","doi":"10.1109/LCOMM.2024.3451702","DOIUrl":"10.1109/LCOMM.2024.3451702","url":null,"abstract":"This letter investigates the uplink communication of an energy harvesting (EH)-enabled resource-constrained secondary device (RCSD) coexisting with primary devices in a cognitive radio-aided non-orthogonal multi-access (CR-NOMA) network. Assuming a non-linear EH model in practice, the data rate of the RCSD is maximized using deep reinforcement learning (DRL). We first derive the optimal solutions for the parameters of interest including the time-sharing coefficient and transmit power of the RCSD, using convex optimization and then implement the DRL to address a continuous action spaced optimization problem. To comprehensively assess the agent’s performance and adaptability, we implement various DRL algorithms and compare them under non-linear EH, which reveals their suitability in various scenarios, aiding in selecting the most effective approach.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"28 10","pages":"2447-2451"},"PeriodicalIF":3.7,"publicationDate":"2024-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142190018","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}