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Intelligent reflecting surface assisted sparse vector coding based short packet communication for 6G wireless networks

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AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS 2025年 194卷

作者： Kumari, Dolly Chaudhary, Mahima Bandari, Shravan Kumar Natl Inst Technol Meghalaya Dept Elect & Commun Engn Shillong 793003 Meghalaya India

sparse vector coding (SVC) is a viable solution to tackle simultaneously the stringent requirements of achieving high reliability and low latency in short packet communications (SPC). On the other hand, the intelligent reflecting surface (IRS), a cutting-edge technology, shows more significant potential to circumvent obstructions and establish consistent communication using low-cost, energy-efficient reflecting elements. Owing to the advantages of both SVC and IRS, in this work, we integrate IRS and SVC for SPC to connect the unconnected users. We derived the probability density function of the overall cascaded wireless channel, which helped deduce the upper-bound block error rate (BLER) theoretical expressions, and the results suggest improved reliability performance compared to conventional SVC. In addition, we also observed the impact of parameters such as the number of reflecting elements, multiple antennas at the base station, position of the IRS, number of resources, amplitude reflection coefficient, and phase shift coefficient on the IRS-SVC. Further, the proposed model is tested under international telecommunication union (ITU) realistic channels, namely, extended pedestrian-A (EPA), and extended vehicular-A (EVA), and shown to be superior performance over the conventional SVC, with 20.5 dB and 21 dB respectively at BLER point of 10-4. Lastly, the complexity analysis has been carried out highlighting the trade-off between the reliability and the ease of implementation for the IRS-SVC compared to the conventional SVC.

关键词： sparse vector coding Block error rate Multipath matching pursuit Ultra-reliability

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Multi-User sparse vector coding for eXtreme Ultra-Reliable Low-Latency Communication in Beyond 5G

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IEEE ACCESS 2025年 13卷 56780-56792页

作者： Sabapathy, Sundaresan Maruthu, Surendar Jayakody, Dushantha Nalin K. Amrita Vishwa Vidyapeetham Sch Artificial Intelligence Coimbatore 641112 Tamil Nadu India Natl Inst Technol Puducherry Dept Elect & Commun Engn Karaikal 609609 India Lusofona Univ COPELABS P-1749024 Lisbon Portugal Ctr Technol & Syst UNINOVA CTS P-2829516 Caparica Portugal Associated Lab Intelligent Syst LASI P-2829516 Caparica Portugal Sri Lanka Inst Informat Technol Fac Engn CIET DEEE Malabe 10115 Sri Lanka

Short A short packet transmission scheme, such as sparse vector coding (SVC), is a primary candidate for achieving ultra-low latency and high-reliability communication (URLLC). This paper proposes a spectral-efficient multi-user SVC (MU-SVC) scheme for achieving next-generation URLLC or eXtreme URLLC (xURLLC) in beyond 5G (B5G) communications. The key idea is to transmit multiple user information within a single sparse vector where the users are segregated into far users (FU) and near users (NU) depending on the distance from the base station. The classification into FU and NU paves way to optimize resource allocation, user fairness, manage interference, ensure reliable communication and quality of service requirements. Firstly, the FU binary data is converted into a sparse vector and secondly, the NU data is modulated and embedded into the non-zero positions of the sparse vector to form an MU-SVC. On transmission, the FU data is obtained through sparse demapping, while the NU adopts symbol detection techniques like the maximum likelihood detector. A new performance metric, called position error rate (PoER), is introduced to study the performance of the FU since it is based on the correct identification of the non-zero positions. Theoretical analyses of PoER and symbol error rate (SER) were carried out for FU and NU, respectively and the results are also validated through Monte-Carlo simulations. Further, the bit error rate, complexity, spectral and latency analyses are performed for MU-SVC and compared with the SVC and enhanced SVC schemes. The simulation results demonstrate an improved spectral efficiency and low latency with high reliability for the proposed MU-SVC scheme, thus, achieving xURLLC with reduced complexity in the multi-user scenario for B5G.

关键词： vectors Static VAr compensators Ultra reliable low latency communication Reliability Symbols Encoding Codes Bit error rate Spectral efficiency Receivers Multi-user position error rate sparse vector coding superimposed transmission symbol error rate URLLC

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Uniquely Decomposable Constellation Group-Based sparse vector coding for Short Packet Communications

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China Communications 2023年第5期20卷 119-134页

作者： Xuewan Zhang Hongyang Chen Di Zhang Ganyu Qin Battulga Davaasambuu Takuro Sato School of Electrical and Information Engineering Zhengzhou UniversityZhengzhou 450001China Zhejiang Lab Hangzhou 311121China Department of Electronics and Communication Engineering School of Engineering and Applied SciencesNational University of MongoliaUlaanbaatar 14201Mongolia School of Fundamental Science and Engineering Waseda UniversityTokyo 169-8555Japan

sparse vector coding(SVC)is emerging as a potential technology for short packet *** further improve the block error rate(BLER)performance,a uniquely decomposable constellation group-based SVC(UDCG-SVC)is proposed in this ***,in order to achieve an optimal BLER performance of UDCG-SVC,a problem to optimize the coding gain of UDCG-based superimposed constellation is *** the energy of rotation constellations in UDCG,this problem is solved by converting it into finding the maximized minimum Euclidean distance of the superimposed *** results demonstrate the validness of our *** also find that the proposed UDCGSVC has better BLER performance compared to other SVC schemes,especially under the high order modulation scenarios.

关键词： ultra-reliable and low latency communications sparse vector coding uniquely decomposable constellation group constellation rotation short packet communications

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sparse vector coding-Based Multi-Carrier NOMA for In-Home Health Networks

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IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS 2021年第2期39卷 325-337页

作者： Zhang, Xuewan Yang, Liuqing Ding, Zhiguo Song, Jian Zhai, Yunkai Zhang, Di Zhengzhou Univ Sch Informat Engn Zhengzhou 450001 Peoples R China Colorado State Univ Dept Elect & Comp Engn Ft Collins CO 80523 USA Univ Manchester Sch Elect & Elect Engn Manchester M13 9PL Lancs England Tsinghua Univ Beijing Natl Res Ctr Informat Sci & Technol BNRis Dept Elect Engn Beijing 100084 Peoples R China Zhengzhou Univ Natl Hlth Ctr Natl Engn Lab Internet Med Syst & Applicat Zhengzhou 450001 Peoples R China Zhengzhou Univ Sch Management Engn Zhengzhou 450001 Peoples R China

In-home health networks greatly rely on the massive connected monitoring devices. Compared to orthogonal multiple access (OMA), non-orthogonal multiple access (NOMA) can connect more monitoring devices and enhance the spectrum efficiency (SE) performance, which makes it an ideal solution to in-home health networks. However, conventional NOMA (C-NOMA) is mostly constrained to single-carrier scenario. The problem of multi-carrier NOMA lies in the inter-carrier interference (ICI) from neighboring carriers. In this article, we propose a sparse vector coding-based NOMA (SVC-NOMA) to suppress the ICI. We give closed-form expressions of capacity and symbol error rate (SER) performances for both C-NOMA and SVC-NOMA within the considered multi-carrier scenario. Simulation results demonstrate that compared to C-NOMA, SVC-NOMA has better capacity and SER performances. In addition, we find from our results that there is a trade-off between SVC-NOMA's ICI suppression ability and the system capacity performance.

关键词： In-home health network non-orthogonal multiple access sparse vector coding capacity symbol error rate

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sparse vector coding Aided Ultra-Reliable and Low-Latency Communications in Multi-User Massive MIMO Systems

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IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY 2021年第1期70卷 1019-1024页

作者： Zhang, Ruoyu Shim, Byonghyo Lou, Yi Jia, Shaobo Wu, Wen Nanjing Univ Sci & Technol Minist Key Lab JGMT Nanjing 210094 Peoples R China Seoul Natl Univ Dept Elect & Comp Engn Seoul 08826 South Korea Seoul Natl Univ Inst New Media & Commun Seoul 08826 South Korea Harbin Engn Univ Acoust Sci & Technol Lab Harbin 150001 Peoples R China Harbin Engn Univ Minist Ind & Informat Technol Key Lab Marine Informat Acquisit & Secur Harbin 150001 Peoples R China Zhengzhou Univ Sch Informat Engn Zhengzhou 450001 Peoples R China

Ultra-reliable and low-latency communication (URLLC) has been recognized as a key service to support delay-sensitive applications for next generation wireless systems. A critical challenge is how to support multiple users with ultra reliability in the short packet transmission. In this paper, we propose a sparse vector coding (SVC)-aided URLLC multi-user transmission scheme by employing the massive multiple-input multiple-output (MIMO) technique. To reliably acquire the support information, we formulate the SVC decoding problem in multi-user massive MIMO systems as the problem to find out nonzero positions of a sparse vector. Then, the support recovery problem is transformed into a series of sub-problems by decoupling the support identification of each user, where the successive interference cancellation based matching pursuit (SIC-MP) algorithm is proposed to estimate the support sequentially. In addition, the user sorting scheme is proposed to alleviate the inter-user interference in the SVC decoding. The complexity of the proposed SIC-MP algorithm is only linear with the system parameters.

关键词： Static VAr compensators Decoding Matching pursuit algorithms Massive MIMO Indexes Antenna arrays sparse matrices Multi-user massive MIMO short packet transmission sparse vector coding ultra-reliable and low-latency communications

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Integrated Sensing and Communication Waveform Design With sparse vector coding: Low Sidelobes and Ultra Reliability

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IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY 2022年第4期71卷 4489-4494页

作者： Zhang, Ruoyu Shim, Byonghyo Yuan, Weijie Di Renzo, Marco Dang, Xiaoyu Wu, Wen Nanjing Univ Sci & Technol Ministerial Key Lab JGMT Nanjing 210094 Peoples R China Seoul Natl Univ Dept Elect & Comp Engn Seoul 08826 South Korea Seoul Natl Univ Inst New Media & Commun Seoul 08826 South Korea Southern Univ Sci & Technol Dept Elect & Elect Engn Shenzhen 518055 Peoples R China Univ Paris Saclay CNRS Cent Supelec Lab Signaux & Syst F-91192 Gif Sur Yvette France Nanjing Univ Aeronaut & Astronaut Coll Elect & Informat Engn Nanjing 211106 Peoples R China

Integrated sensing and communication (ISAC) can provide efficient usage for both spectrum and hardware resources. A critical challenge, however, is to design the dual-functional waveform for simultaneous radar sensing and communication. In this paper, we propose a sparse vector coding-based ISAC (SVC-ISAC) waveform to simultaneously provide low sidelobes for radar sensing and ultra reliability for communication transmission. The key idea of the proposed waveform is to embed the communication information into the support of one sparse vector and transmit a low-dimensional signal via the spreading codebook. We derive a closed-form expression of the ambiguity function for the proposed SVC-ISAC waveform, and prove that it exhibits low sidelobes in the delay and Doppler domains, regardless of the distribution of the transmitted bit stream. In addition, the information decoding at the communication receiver is solved through the support identification and sparse demapping. Simulation results demonstrate that the proposed waveform improves the reliability while consistently suppressing the sidelobe levels.

关键词： Radar OFDM Sensors Radar antennas Encoding Static VAr compensators Reliability engineering Integrated sensing and communication sparse vector coding waveform design ambiguity function ultra reliability

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sparse vector coding-based Superimposed Transmission for Short Packet URLLC

Sparse Vector Coding-based Superimposed Transmission for Sho...

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IEEE Wireless Communications and Networking Conference (WCNC)

作者： Zhang, Xuewan Han, Gangtao Zhang, Dalong Shim, Byonghyo Zhang, Di Zhengzhou Univ Sch Informat Engn Zhengzhou 450001 Peoples R China Seoul Natl Univ Inst New Media & Commun Seoul 08826 South Korea Seoul Natl Univ Dept Elect & Comp Engn Seoul 08826 South Korea

ISBN: (纸本)9781728195070

sparse vector coding (SVC) based on position indices is emerging as a key enabler for short packet ultra-reliable and low latency communications (URLLC), since it can achieve better block error rate (BLER) performance and lower transmission latency. In this paper, we propose a SVC-based superimposed transmission (SVC-ST) scheme to further enhance the transmission reliability of SVC. At the encoding side, a portion of transmission bits is represented by non-zero position indices of sparse vector. The remaining bits are equally split into multiple streams and then mapped into the related positions of sparse vector via quadrature amplitude modulation (QAM) with constellation rotation. After random spreading, a transmission vector superimposed by multiple QAM signals is formed on frequency resource blocks. Different from SVC scheme, the non-zero position indices and related elements of sparse vector in SVC-ST scheme are respectively represented different bit information. For the SVC-ST decoding, multipath matching pursuit (MMP)-based soft decoding (MMP-SD) scheme is adopted to recover the transmission packet. Simulation results indicate that the proposed SVC-ST scheme outperforms existing SVC schemes in terms of BLER performance.

关键词： Ultra reliable and low latency communications superimposed transmission sparse vector coding block error rate multipath matching pursuit

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Uniquely Decomposable Constellation Group-based sparse vector coding for Short Packet Communications 94

Uniquely Decomposable Constellation Group-based Sparse Vecto...

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94th IEEE Vehicular Technology Conference (VTC-Fall)

作者： Qin, Ganyu Chen, Hongyang Zhang, Xuewan Sato, Takuro Zhang, Di Zhengzhou Univ Sch Informat Engn Zhengzhou 450001 Peoples R China Res Ctr Intelligent Network Zhejiang Lab Hangzhou 311121 Peoples R China Waseda Univ Sch Fundamental Sci & Engn Tokyo 1698555 Japan

ISBN: (纸本)9781665413688

sparse vector coding (SVC) is emerging as a feasible solution for short packet transmission, which can provide better reliability and lower latency. In this article, a uniquely decomposable constellation group (UDCG)-based SVC called UDCG-SVC is proposed. The important idea of UDCG-SVC is to map the bits into the nonzero elements of the sparse vector by using the sub-constellations in the UDCG. After random spreading, the resource blocks carry the unique decomposable superimposed constellations, which ensures that the minimum Euclidean distance (MED) of the superimposed constellation is large. This results in an improved block error rate (BLER) performance of SVC. Numerical results demonstrate the advanced BLER simulation of UDCG-SVC, and the proposed UDCG-SVC scheme is better than constellation rotation-based SVC (CR-SVC) scheme.

关键词： sparse vector coding uniquely decomposable constellation group minimum Euclidean distance block error rate constellation rotation

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Maximal Ratio sparse vector coding for Short Packet Transmission 15

Maximal Ratio Sparse Vector Coding for Short Packet Transmis...

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15th IEEE International Conference on Advanced Networks and Telecommunications Systems (IEEE ANTS)

作者： Awasthi, Astha Mithun, Kumar Y. Bandari, Shravan Kumar Mani, V. V. Natl Inst Technol Meghalaya Elect & Commun Engn Shillong India Natl Inst Technol Warangal Elect & Commun Engn Hanamkonda India

ISBN: (纸本)9781665448932

With the proliferation of automated services in recent years, the demand for reliable communication among the devices and machine-human interactions has increased like never before. In general, the amount of information that is exchanged for mission-critical applications is tiny for service categories such as ultra reliable and low latency communication (URLLC) and massive machine-type communications (mMTC). To handle short packet transmission, sparse vector coding (SVC) was recently proposed where the packet information is embedded into the positions of the sparse vector. In this paper, to further improve the performance of SVC in terms of reliability, maximal ratio transmission (MRT) is employed. The distinctive feature of the proposed scheme to that of conventional SVC is that the composite of weighted MRT coefficients with sparse vector is transmitted over the channel. Simulated results under realistic international telecommunication union (ITU) channel models suggest that by exploiting spatial diversity at the transmitter side, the block error rate (BLER) can be reduced with the increased number of antennas. In brief, MRT-aided SVC transmission can be a key enabler for reliable communication and a practical choice for beyond 5G (B5G) communication systems.

关键词： Beyond 5G URLLC short packet transmission sparse vector coding maximal ratio transmission

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Enhanced sparse vector coding for Ultra-Reliable and Low Latency Communications

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IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY 2020年第5期69卷 5698-5702页

作者： Kim, Wonjun Bandari, Shravan Kumar Shim, Byonghyo Seoul Natl Univ Inst New Media & Commun Seoul 08826 South Korea Seoul Natl Univ Dept Elect & Comp Engn Seoul 08826 South Korea Natl Inst Technol Meghalaya Dept Elect & Commun Engn Shillong 793003 Meghalaya India

An important observation in the ultra-reliable and low latency communications is that the size of transmit information is tiny. To support the effective short packet transmission, a sparse vector coding (SVC) scheme where an information is encoded into the positions of the sparse vector was proposed. In this paper, we propose a novel SVC technique further improving the reliability of the short packet transmission. Key idea of the proposed technique is to encode information both in the position as well as symbols. From the performance analysis and numerical evaluations on realistic channel models, we demonstrate that the proposed scheme outperforms the conventional SVC scheme in terms of the block error rate (BLER) and transmission latency.

关键词： Ultra reliable and low latency communications sparse vector coding compressed sensing

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