检索结果-内蒙古大学图书馆

IEEE Global Telecommunications Conference (GLOBECOM 08)

作者： Mohammed, Saif K. Chockalingam, A. Rajan, B. Sundar Indian Inst Sci Dept ECE Bangalore 560012 Karnataka India

ISBN: (纸本)9781424423248

Large MIMO systems with tens of antennas in each communication terminal using full-rate non-orthogonal space-time block codes (STBC) from Cyclic Division Algebras (CDA) can achieve the benefits of both transmit diversity as well as high spectral efficiencies. Maximum-likelihood (ML) or near-ML decoding of these large-sized STBCs at low complexities, however, has been a challenge. In this paper, we establish that near-ML decoding of these large STBCs is possible at practically affordable low complexities. We show that the likelihood ascent search (LAS) detector, reported earlier by us for V-BLAST, is able to achieve near-ML uncoded BER performance in decoding a 32x32 STBC from CDA, which employs 32 transmit antennas and sends 32(2) = 1024 complex data symbols in 32 time slots in one STBC matrix (i.e., 32 data symbols sent per channel use). In terms of coded BER, with a 16x16 STBC, rate-3/4 turbo code and 4-QAM (i.e., 24 bps/Hz), the LAS detector performs close to within just about 4 dB from the theoretical MIMO capacity. Our results further show that, with LAS detection, information lossless (ILL) STBCs perform almost as good as full-diversity ILL (FD-ILL) STBCs. Such low-complexity detectors can potentially enable implementation of high spectral efficiency large MIMO systems that could be considered in wireless standards.

关键词： Large MIMO systems full-rate non-orthogonal STBCs low-complexity detection high spectral efficiency

来源：评论

学校读者我要写书评

暂无评论

Generalized Multistream Spatial Modulation Based on One Mannheim Error Correcting Codes and their low-complexity detection 10

Generalized Multistream Spatial Modulation Based on One Mann...

引用

10th IEEE International Conference on Consumer Electronics (ICCE-Berlin)

作者： Rohweder, Daniel Oleschak, Patrick Shavgulidze, Sergo Freudenberger, Juergen Univ Appl Sci Inst Syst Dynam HTWG Konstanz Constance Germany Georgian Tech Univ Fac Power Engn & Telecommun Tbilisi Georgia

ISBN: (纸本)9781728158853

This paper proposes a novel transmission scheme for generalized multistream spatial modulation. This new approach uses one Mannheim error correcting codes over Gaussian or Eisenstein integers as multidimensional signal constellations. These codes enable a suboptimal decoding strategy with near maximum likelihood performance for transmission over the additive white Gaussian noise channel. In this contribution, this decoding algorithm is generalized to the detection for generalized multistream spatial modulation. The proposed method can outperform conventional generalized multistream spatial modulation with respect to decoding performance, detection complexity, and spectral efficiency.

关键词： spatial modulation coded modulation one Mannheim error correcting codes low-complexity detection

来源：评论

学校读者我要写书评

暂无评论

low-complexity Iterative detection Algorithm for Massive Data Communication in IIoT

引用

IEEE ACCESS 2018年 6卷 11166-11172页

作者： Han, Yu Wang, Zhenyong Li, Dezhi Guo, Qing Liu, Gongliang Harbin Inst Technol Sch Elect & Informat Engn Harbin 150001 Heilongjiang Peoples R China Shenzhen Acad Aerosp Technol Shenzhen 518055 Peoples R China

As the fundamental problem of Industrial Internet of Things, massive data communication based on non-orthogonal multiple access is attractive. An iterative multiuser receiver provides a substantial performance improvement, but suffers from a distortion that the overestimation of output reliability values for bad channels. Furthermore, the main challenge lies in the high computational complexity. This paper develops an improved iterative multiuser receiver with independent channel information. In order to analyze its performance, JS-divergence is introduced to measure the correlation of exchanged information between the detector and the decoder. low-complexity iterative detection algorithm based on JS-divergence values is proposed in this paper. The simulation results demonstrate that the proposed iterative multiuser receiver reduces the overestimation of reliability values and improves the system performance when Eb/NO is less than 3 dB. The low-complexity iterative detection algorithm can terminate in advance when JS-divergence values of all users reach to a threshold and reduce the number of outer-loop iterations and computational complexity greatly.

关键词： Industrial Internet of Things massive data communication iterative multiuser receiver JS-divergence low-complexity detection

来源：评论

学校读者我要写书评

暂无评论

low-complexity MIMO detection Based on Post-Equalization Subspace Search

引用

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY 2012年第1期61卷 375-380页

作者： Chang, Ronald Y. Chung, Wei-Ho Acad Sinica Res Ctr Informat Technol Innovat Taipei 115 Taiwan

Two low-complexity effective detection schemes for multiple-input-multiple-output (MIMO) systems based on post-equalization subspace search are proposed in this paper. With the initial solution given by the linear detector, calibrated constellation search is conducted in symbol subspace and eigenspace associated with the largest estimation errors in linear detection to identify improved solutions. complexity analysis is performed to understand the cost of the proposed add-on procedures. Simulation results demonstrate that the proposed schemes yield noticeable performance gains over linear detectors at moderate additional computational cost.

关键词： Linear detection low-complexity detection multiple-input-multiple-output (MIMO) systems

来源：评论

学校读者我要写书评

暂无评论

low complexity detection algorithm for Alamouti like STBC for Large MIMO systems

Low complexity detection algorithm for Alamouti like STBC fo...

引用

IEEE International Conference on Electronics Computing and Communication Technologies (CONECCT)

作者： Gupta, Saurabh Yadav, Jatin Kshetrimayum, Rakhesh Singh IIT Guwahati Dept Elect & Elect Engn Gauhati 781039 Assam India

ISBN: (纸本)9781479999859

This paper presents Alamouti like STBC for large MIMO systems and its low complexity detection using Tabu search. Large MIMO systems are of primary concern in the deployment of 5G. We propose a solution of using Alamouti like STBC for the transmitter design and decoding the received signal using a heuristic based search algorithm named Tabu search. Our results show that low complexity detection technique performs better than decoding techniques like Zero Forcing (ZF) and Minimum Mean Square Error (MMSE) while is comparable to Maximum Likelihood (ML). We consider Rayleigh channel for all the simulations.

关键词： Large-MIMO systems tabu search low-complexity detection Alamouti Zero-Forcing Minimum mean square error

来源：评论

学校读者我要写书评

暂无评论

low-complexity Pearson-Based detection for AWGN Channels with Offset

Low-Complexity Pearson-Based Detection for AWGN Channels wit...

引用

IEEE International Symposium on Information Theory (ISIT)

作者： Favano, Antonino Barletta, Luca Sforzin, Marco Amato, Paolo Ferrari, Marco Politecn Milan Milan Italy Micron Technol Inc Vimercate Italy CNR Milan Italy

ISBN: (纸本)9798350382853;9798350382846

This work investigates the error performance of detection schemes based on the minimum Pearson distance in the context of additive white Gaussian noise channels with unknown and unbounded offset, constant throughout each channel use. We derive a lower bound on the word error rate under modified Pearson (MP) detection. Additionally, we introduce a new and low-complexity detection strategy, namely the Simplified Pearson (SP) detector. We analyze and compare the error performance of the SP detector with that of the MP detector.

关键词： AWGN Channel with Offset low-complexity detection Pearson Distance

来源：评论

学校读者我要写书评

暂无评论

Lattice-Reduction-Aided Conditional detection for MIMO Systems

引用

IEEE TRANSACTIONS ON COMMUNICATIONS 2014年第11期62卷 3864-3873页

作者： Najafi, Hossein Damen, Mohamed Oussama Univ Waterloo Dept Elect & Comp Engn Waterloo ON N2L 3G1 Canada

We introduce a low-complexity detector with near-optimal performance for transmission over multi-antenna systems. By using lattice basis reduction for generating almost orthogonal channel submatrices, we enhance the conditional optimization technique to implement a fast yet efficient detector. The lattice-reduction-aided (LRA) conditional method is presented as a general detection technique over fading channels to yield significant saving in computational complexity while achieving close to Maximum Likelihood (ML) error performance. By employing the orthogonality defect factor as a universal measure to select a near-orthogonal channel submatrix for conditional detection, we implement efficient detectors for MIMO systems. In particular, an almost optimal decoder with linear complexity for the Golden code is presented over quasi-static channels.

关键词： Conditional detection golden code lattice reduction low-complexity detection maximum likelihood detection multiple-input multiple-output (MIMO) systems space-time codes

来源：评论

学校读者我要写书评

暂无评论

Random-Restart Reactive Tabu Search Algorithm for detection in Large-MIMO Systems

引用

IEEE COMMUNICATIONS LETTERS 2010年第12期14卷 1107-1109页

作者： Datta, Tanumay Srinidhi, N. Chockalingam, A. Rajan, B. Sundar Indian Inst Sci Dept Elect Commun Engn Bangalore 560012 Karnataka India

We present a low-complexity algorithm based on reactive tabu search (RTS) for near maximum likelihood (ML) detection in large-MIMO systems. The conventional RTS algorithm achieves near-ML performance for 4-QAM in large-MIMO systems. But its performance for higher-order QAM is far from ML performance. Here, we propose a random-restart RTS (R3TS) algorithm which achieves significantly better bit error rate (BER) performance compared to that of the conventional RTS algorithm in higher-order QAM. The key idea is to run multiple tabu searches, each search starting with a random initial vector and choosing the best among the resulting solution vectors. A criterion to limit the number of searches is also proposed. Computer simulations show that the R3TS algorithm achieves almost the ML performance in 16 x 16 V-BLAST MIMO system with 16-QAM and 64-QAM at significantly less complexities than the sphere decoder. Also, in a 32 x 32 V-BLAST MIMO system, the R3TS performs close to ML lower bound within 1.6 dB for 16-QAM (128 bps/Hz), and within 2.4 dB for 64-QAM (192 bps/Hz) at 10(-3) BER.

关键词： Large-MIMO systems maximum likelihood detection reactive tabu search random-restart low-complexity detection

来源：评论

学校读者我要写书评

暂无评论

A Rising Edge-Based detection Algorithm for MIMO Molecular Communication

引用

IEEE WIRELESS COMMUNICATIONS LETTERS 2020年第4期9卷 523-527页

作者： Huang, Yu Chen, Xuan Wen, Miaowen Yang, Lie-Liang Chae, Chan-Byoung Ji, Fei South China Univ Technol Sch Elect & Informat Engn Guangzhou 510641 Guangdong Peoples R China Univ Southampton Sch Elect & Comp Sci Southampton Wireless Grp Southampton SO17 1BJ Hants England Yonsei Univ Sch Integrated Technol Yonsei Inst Convergence Technol Seoul South Korea

In this letter, we propose a low-complexity detection algorithm for multi-input-multi-output (MIMO) molecular communication (MC). By virtue of a rising edge in received signals, this detection algorithm is capable of recovering the information bits in MIMO-MC systems. From an engineering point of view, this algorithm can significantly eliminate the impact of inter-symbol interference. It has also proven itself useful for dealing with the received signal from the MIMO-MC testbed with sufficiently low bit error rate (BER) or even an error-free performance. Moreover, in terms of BER performance, this algorithm outperforms existing detection algorithms for single-input single-output MC systems.

关键词： Bit error rate (BER) low-complexity detection MIMO molecular communication rising edge

来源：评论

学校读者我要写书评

暂无评论

Smart detection Using the Cascaded Artificial Neural Network for OFDM With Subcarrier Number Modulation

引用

IEEE WIRELESS COMMUNICATIONS LETTERS 2021年第6期10卷 1227-1231页

作者： Li, Jun Dang, Shuping Wen, Miaowen Zhang, Zhenrong Li, Qiang Guangzhou Univ Sch Elect & Commun Engn Res Ctr Intelligent Commun Engn Guangzhou 510006 Peoples R China King Abdullah Univ Sci & Technol Comp Elect & Math Sci & Engn Div Thuwal 239556900 Saudi Arabia South China Univ Technol Sch Elect & Informat Engn Guangzhou 510641 Peoples R China Guangxi Univ Sch Comp Elect & Informat Nanning 530004 Peoples R China Guangxi Univ Guangxi Key Lab Multimedia Commun & Network Techn Nanning 530004 Peoples R China Jinan Univ Coll Informat Sci & Technol Guangzhou 510632 Peoples R China

Since the proposal of orthogonal frequency-division multiplexing with subcarrier number modulation (OFDM-SNM), the high detection complexity of this novel modulation scheme becomes a major issue degrading its applicability in practice. To provide an easy-to-implement and low-complexity solution to the detection of the OFDM-SNM signal, we design a cascaded artificial neural network (CANN) at the OFDM-SNM receiver to decouple the detection of subcarrier number pattern (SNP) and constellation symbols on the active subcarriers. This is the first time that the CANN design is introduced to assist in detecting parallel signals. Numerical simulations verify the effectiveness and efficiency of the proposed smart detection scheme and show that the CANN based smart detection with adequate training can yield comparable error performance to the optimal maximum-likelihood detection at much lower complexity.

关键词： OFDM Detectors Computer architecture Neural networks Receivers Equalizers Signal detection Artificial neural network (ANN) orthogonal frequency-division multiplexing (OFDM) subcarrier number modulation low-complexity detection cascaded architecture

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：