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Mitigating interference and reducing detection complexity in asynchronous cooperative relay network utilising new distributed space time block coding

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IET COMMUNICATIONS 2021年第1期15卷 14-21页

作者： Elazreg, Abdulghani M. Kharaz, Ahmad H. Univ Derby Sch Comp & Engn Markeaton St Derby DE22 3AW England

The synchronisation in wireless cooperative relay networks is impossible to achieve in real environment utilising orthogonal space time block coding. There have been several approaches proposed to mitigate the effect of synchronisation among the relay nodes at the receiver. All have managed to reduce the inter-symbol interference at the expense of low data rate with high detection complexity. Others achieved full data rate and high cooperative diversity using high decoding complexity that requires a feedback link. In this paper, a new approach is presented that reduces inter-symbol interference, achieves full data rate and full cooperative diversity with low complexity. This uses a new efficient distributed orthogonal space time block coding design with a sub-optimum detection scheme utilising dual relay nodes. This reduces the number of timing misalignments among the relay nodes and minimises the detection complexity. Furthermore, the new proposed method uses linear decoding process to achieve full data rate and full cooperative diversity without the need for any a feedback link. The analytical analysis and simulation results confirmed that sub-optimum approach with the new efficient design are very effective at reducing the lack of synchronisation among the relay nodes at the destination node with low encoding and decoding complexities.

关键词： Electromagnetic compatibility and interference sub-optimum detection scheme destination node wireless cooperative relay networks sub-optimum approach decoding complexities Codes intersymbol interference low data rate dual relay nodes distributed orthogonal space time block coding cooperative communication asynchronous cooperative relay network diversity reception detection complexity orthogonal codes decoding feedback link cooperative diversity high detection complexity mitigating interference timing misalignments relay networks (telecommunication) orthogonal space time block coding high decoding complexity low encoding inter-symbol interference space-time block codes Radio links and equipment interference suppression

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Low-complexity detection for uplink massive MIMO SCMA systems

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IET COMMUNICATIONS 2021年第1期15卷 51-59页

作者： Sharma, Sanjeev Deka, Kuntal Beferull-Lozano, Baltasar BHU Indian Inst Technol Varanasi Uttar Pradesh India Indian Inst Technol Veling Goa India Univ Agder Dept Informat & Commun Technol Grimstad Norway

This paper presents a sparse code multiple access (SCMA) system with massive antennas at the base station. This system is referred to as M-SCMA system. A spectrally-efficient and massive access next-generation wireless network is realized through massive antennas and non-orthogonal SCMA techniques. Two detection algorithms, namely, modified message passing algorithm (MMPA) and extended message passing algorithm (EMPA) are proposed to detect multiple users' symbols in M-SCMA. A deep learning (DL)-based detection scheme is also proposed for M-SCMA so as to avoid channel estimation and to lower the detection complexity. Numerical results show that the DL-based detection has similar performance as MMPA even when the channel information is not estimated explicitly. Furthermore, authors also establish the sum rate trade-off between SCMA and orthogonal multiple access in a massive antenna system. The impact of various M-SCMA parameters such as the number of antennas and the overloading factor, on the proposed DL, MMPA, and EMPA-based detection are also investigated.

关键词： multi-access systems massive access next-generation wireless network Communications computing multiple users orthogonal multiple access nonorthogonal SCMA techniques deep learning (artificial intelligence) massive antennas extended message passing algorithm channel estimation detection complexity MMPA Multiple access communication base station low-complexity detection sparse code multiple access system spectrally-efficient access next-generation wireless network telecommunication computing message passing M-SCMA system antenna arrays Antenna arrays detection algorithms uplink massive MIMO SCMA systems EMPA-based detection next generation networks Radio links and equipment Communication channel equalisation and identification M-SCMA parameters massive antenna system MIMO communication deep learning-based detection scheme

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Efficient Deep Learning-Based detection Scheme for MIMO Communication Systems

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SENSORS 2025年第3期25卷 669-669页

作者： Ibarra-Hernandez, Roilhi F. Castillo-Soria, Francisco R. Gutierrez, Carlos A. Del-Puerto-Flores, Jose Alberto Acosta-Elias, Jesus Rodriguez-Abdala, Viktor I. Palacios-Luengas, Leonardo Autonomous Univ San Luis Potosi Fac Sci Ave Chapultepec 1570 San Luis Potosi 78295 Mexico Univ Panamericana Fac Ingn Alvaro Portillo 49 Zapopan 45010 Mexico Univ Autonoma Zacatecas Unidad Acad Ciencias Quim Carr Zac Gdl Km 6 Zacatecas 98160 Zacatecas Mexico Autonomous Metropolitan Univ UAM Iztapalapa Dept Elect Engn IztapalapaAve San Rafael Atlixco 186 Mexico City 09340 Mexico

Multiple input-multiple output (MIMO) is a key enabling technology for the next generation of wireless communication systems. However, one of the main challenges in the implementation of MIMO system is the complexity of the detectors when the number of antennas increases. This aspect will be crucial in the implementation of future massive MIMO systems. A flexible design can offer a convenient tradeoff between detection complexity and bit error rate (BER). Deep learning (DL) has emerged as an efficient method for solving optimization problems in different areas. In MIMO communication systems, neural networks can provide efficient and innovative solutions. This paper presents an efficient DL-based signal detection strategy for MIMO communication systems. More specifically, a preprocessing stage is added to label the input signals. The labeling scheme provides more information about the transmitted symbols for better training. Based on this strategy, two novel schemes are proposed and evaluated considering BER performance and detection complexity. The performance of the proposed schemes is compared with the conventional one-hot (OH) scheme and the optimal maximum likelihood (ML) criterion. The results show that the proposed OH per antenna (OHA) and direct symbol encoding (DSE) schemes reach a classification performance F1-score of 0.97. Both schemes present a lower complexity compared with the conventional OH and the ML schemes, used as references. On the other hand, the OHA and DSE schemes have losses of less than 1 dB and 2 dB in BER performance, respectively, compared to the OH scheme. The proposed strategy can be applied to adaptive systems where computational resources are limited.

关键词： MIMO systems deep learning detection labeling ML criterion detection complexity BER performance

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Differential Scheme for Reconfigurable Intelligent Surface-Based Spatial Modulation System

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China Communications 2023年第10期20卷 100-108页

作者： Han Hai Si Wei Xueqin Jiang Yuyang Peng Mohsen Guizani College of Information and Science Technology Donghua UniversityShanghai 201620China School of Computer Science and Engineering Macao University of Science and TechnologyMacao 999078China Mohammad Bin Zayed University of Artificial Intelligence Abu DhabiUAE

In this paper,a differential scheme is proposed for reconfigurable intelligent surface(RIS)assisted spatial modulation,which is referred to as RISDSM,to eliminate the need for channel state information(CSI)at the *** proposed scheme is an improvement over the current differential modulation scheme used in RIS-based systems,as it avoids the high-order matrix calculation and improves the spectral efficiency.A mathematical framework is developed to determine the theoretical average bit error probability(ABEP)of the system using *** detection complexity of the proposed RIS-DSM scheme is extremely low through the ***,simulations results demonstrate that the proposed RIS-DSM scheme can deliver satisfactory error performance even in low signal-to-noise ratio environments.

关键词： reconfigurable intelligent surface(RIS) differential scheme spatial modulation(SM) detection complexity

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Generalized Time-Domain Index Modulation with A Low complexity detection Method 19

Generalized Time-Domain Index Modulation with A Low Complexi...

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19th International Symposium on Communications and Information Technologies (ISCIT)

作者： Zhang, Rongfang Xu, Weikai Cai, Xiangming Wang, Lin Xiamen Univ Dept Informat & Commun Engn Xiamen 361005 Fujian Peoples R China

ISBN: (纸本)9781728150093

SC-based index modulation (SC-IM) is a recently developed communication scheme that uses the optimal high complexity maximum likelihood (ML) detection algorithm at receiver. In this paper, we propose a single-carrier-based generalize time-domain index modulation (GTD-IM) scheme whose receiver employs a square-law envelope detector (SLED) to detect the active indices. Through analyses and simulations, we find that this system can achieve approximate energy efficiency and error performance of SC-IM with a lower implementation complexity.

关键词： SC-IM ML detection SLED energy efficiency detection complexity multipath Rayleigh channel

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Generalization of Index-Modulation: Breaking the Conventional Limits on Spectral and Energy Efficiencies

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IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS 2021年第6期20卷 3911-3924页

作者： Irfan, Mohammad Aissa, Sonia Univ Quebec Inst Natl Rech Sci INRS Montreal PQ H5A 1K6 Canada

In the context of orthogonal frequency-division multiplexing with index modulation (OFDM-IM), this paper first presents an improved index modulation (IIM) technique to address the well-known low spectral efficiency problem of IM techniques in general and OFDM-IM in particular. OFDM-IIM is realized by deriving the minimum required number of subcarriers per group, and the minimum number of active subcarriers in each group, of the conventional OFDM-IM technique. It is proven that OFDM-IIM can deliver higher spectral and energy efficiencies than classical OFDM and OFDM-IM. The gains come at the expense of increased detection complexity. Therefore, a proposal of OFDM with generalized IM (OFDM-GIM) technique is presented, where a variable number of subcarriers per group are allowed to be activated. Two variants of OFDM-GIM are designed based on the activation pattern of the subcarriers: the first achieves superior spectral efficiency with reduced detection complexity as compared to OFDM-IIM, and the second is tailored for low data rate communications with higher energy efficiency requirements. Besides optimal maximum likelihood detection, a less-complex sub-optimal detector is proposed. A closed-form expression for the bit error rate (BER) of OFDM-IIM and the two variants of OFDM-GIM is derived, considering transmissions over Nakagami fading channels and multiple-antenna reception. Finally, OFDM-IIM and OFDM-GIM are compared with state-of-the-art techniques to validate their superiority in terms of BER, achievable rate, and energy efficiency.

关键词： OFDM complexity theory Modulation Wireless communication Indexes Bit error rate Signal to noise ratio Index modulation spectral efficiency energy efficiency detection complexity bit error rate

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Multiple Active Spatial Modulation: A Possibility of More Than Spatial Multiplexing

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IEEE WIRELESS COMMUNICATIONS LETTERS 2020年第3期9卷 294-297页

作者： Irfan, Mohammad Aissa, Sonia Univ Quebec Inst Natl Rech Sci Montreal PQ H5A 1K6 Canada

For multiple active spatial modulation (MASM) technique, this letter formulates the minimum number of transmit antennas (N-t) and the required number of active RF chains (N-a) to support the following two statements. First, it is proven that MASM can achieve similar spectral efficiency to conventional spatial multiplexing (SMx) with smaller N-t and N-a, and less receive antennas (N-r). Secondly, for operation with the same N-t in both techniques, MASM is shown to achieve higher spectral efficiency while using fewer N-a and N-r. Furthermore, the low spectral efficiency and diversity tradeoff in MASM is highlighted, and a proposal of an enhanced MASM (E-MASM) technique is shown to achieve a better tradeoff between spectral efficiency and diversity as compared to SMx. In comparison to SMx and some prominent space modulation techniques, E-MASM is shown to achieve higher reliability, while MASM achieves superior spectral efficiency.

关键词： MIMO spectral efficiency energy efficiency detection complexity bit error rate

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Space-Time Mapping for Equiprobable Antenna Activation in Spatial Modulation

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IEEE COMMUNICATIONS LETTERS 2020年第12期24卷 2961-2964页

作者： Irfan, Mohammad Aissa, Sonia Univ Quebec Inst Natl Rech Sci INRS Montreal PQ H5A 1K6 Canada

Spatial modulation (SM) conveys additional information bits via the index of an activated transmit antenna. When the number of antennas is not an integer power of two, the antenna activation becomes challenging. In such a case, only a subset of the available transmit antennas whose cardinality is an integer power of two is used. This leads to antenna activation with unequal probability, which causes high error rates and losses in the spectral efficiency. The same limitations and performance losses equally exist in quadrature spatial modulation (QSM) and generalized spatial modulation (GSM), the two prominent variants of SM. In this contribution, in contrast to the conventional approach of antenna activation within each symbol period, a space-time bit-mapping method in which the antenna selection procedure is extended to multiple symbol periods is proposed. Use of the proposed method in SM, QSM, and GSM techniques, is shown to achieve performances close to their full potential for any given number of transmit antennas, with only a marginal increment in detection complexity.

关键词： Transmitting antennas Indexes GSM Modulation Blogs Spatial modulation spectral efficiency coding gain bit error rate detection complexity

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A Low complexity Reactive Tabu Search Based Constellation Constraints in Signal detection

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ALGORITHMS 2018年第7期11卷 99-99页

作者： Feng, Jiao Zhang, Xiaofei Li, Peng Hu, Dongshun Nanjing Univ Informat Sci & Technol Sch Elect & Informat Engn 219 Ninliu Rd Nanjing 210044 Jiangsu Peoples R China Jiangsu Collaborat Innovat Ctr Atmospher Environm Nanjing 210044 Jiangsu Peoples R China

For Massive multiple-input multiple output (MIMO) systems, many algorithms have been proposed for detecting spatially multiplexed signals, such as reactive tabu search (RTS), minimum mean square error (MMSE), etc. As a heuristic neighborhood search algorithm, RTS is particularly suitable for signal detection in systems with large number of antennas. In this paper, we propose a strategy to reduce the neighborhood searching space of the traditional RTS algorithms. For this, we introduce a constellation constraints (CC) structure to determine whether including a candidate vector into the RTS searching neighborhood. By setting a pre-defined threshold on the symbol constellation, the Euclidean distance between the estimated signal and its nearest constellation points are calculated, and the threshold and distance are compared to separate the reliable estimated signal from unreliable ones. With this structure, the proposed CC-RTS algorithm may ignore a significant number of unnecessary candidates in the RTS neighborhood searching space and greatly reduce the computational complexity of the traditional RTS algorithm. Simulation results show that the BER performance of the proposed CC-RTS algorithm is very close to that of the traditional RTS algorithm, and with about 50% complexity reduction with the same signal-to-noise (SNR) ratio.

关键词： MIMO maximum likelihood RTS CC detection complexity

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On Low complexity detection for QAM Isomorphic Constellations

On Low Complexity Detection for QAM Isomorphic Constellation...

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IEEE Global Telecommunications Conference (GLOBECOM)

作者： Kayhan, Farbod Univ Luxembourg Interdisciplinary Ctr Secur Reliabil & Trust SnT Luxembourg Luxembourg

ISBN: (纸本)9781509050192

Despite of the known gap from the Shannon's capacity, several standards are still employing QAM or star shape constellations, mainly due to the existing low complexity detectors. In this paper, we investigate the low complexity detection for a family of QAM isomorphic constellations. These constellations are known to perform very close to the peakpower limited capacity, outperforming the DVB-S2X standard constellations. The proposed strategy is to first remap the received signals to the QAM constellation using the existing isomorphism and then break the log likelihood ratio computations to two one dimensional PAM constellations. Gains larger than 0.6 dB with respect to QAM can be obtained over the peak power limited channels without any increase in detection complexity. Our scheme also provides a systematic way to design constellations with low complexity one dimensional detectors. Several open problems are discussed at the end of the paper.

关键词： non-uniform APSK constellations high order modulations soft demapping detection complexity

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