An Efficient Space Time Block Code for LTE-A System

Abbasi, Vahid; Shayesteh, Mahrokh G.; Ahmadi, Mojtaba

doi:10.1109/lsp.2014.2344623

Cited by 6 publications

(3 citation statements)

References 9 publications

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“…However, for a constellation with size M, the schemes in [7,[12][13][14] suffer from a high decoding complexity that is of order O(M 4 ) when the optimum receiver is utilised to estimate the transmitted symbols. Since the battery life in a typical wireless system is limited [15], most recent works have been focused on providing the NVD property in an optimum receiver with a low decoding complexity [16][17][18][19][20][21][22]. The proposed schemes in [16][17][18] that were further investigated and named as fast-decodable STBCs (FDSTBCs) in [23] use the well-known Alamouti scheme [1] in their structures to reduce the decoding complexity.…”

Section: Introductionmentioning

confidence: 99%

Comprehensive study on a 2 × 2 full‐rate and linear decoding complexity space–time block code

Hosseini

Talebi²,

Abouei

2015

IET Communications

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Section: Introductionmentioning

confidence: 99%

Comprehensive study on a 2 × 2 full‐rate and linear decoding complexity space–time block code

Hosseini

Talebi²,

Abouei

2015

IET Communications

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“…The work presented in this paper focuses on STBC instead of STTC due to the latter requiring significantly higher computational complexity than the former. Furthermore, the simple decoding scheme of orthogonal STBC (OSTBC) provides full diversity [9]. The objectives of this paper are to propose real orthogonal OSTBC, i.e.…”

Section: Introductionmentioning

confidence: 99%

Orthogonal space-time block codes for large MIMO systems

Halmi

Abdellatif

Nooridin

2015

2015 International Conference on Communications, Management and Telecommunications (ComManTel)

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Currently, detailed study of Orthogonal SpaceTime Block Codes (OSTBC) in MIMO literature is mostly limited to conventional MIMO, i.e. MIMO systems with at most 8 transmit and 8 receive antennas. In view of the situation, this paper studies the implementation of OSTBC in Large MIMO systems. The paper presents OSTBC for transmission of real symbols that can support up to 32 transmit and 32 receive antennas. Simulation results show that real OSTBC system performance is highly dependent on the code rate of the transmission matrix as well and the number of antennas used. In general, lower code rate OSTBC has better BER performance than higher code rate OSTBC, but for systems with less than 32 transmit or receive antennas, higher code rate OSTBC can outperform the lower code rate OSTBC if the receive diversity gain is significant.

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“…Computational complexity per iteration. − 1) 2 + 8 (L − 1) 3 + 8λ (L − 1) Code and synchronization update(21) 8µ max Z (L − 1)(M + 2)…”

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confidence: 99%

STBC Identification for Multi-User Uplink SC-FDMA Asynchronous Transmissions Exploiting Iterative Soft Information Feedback of Error Correcting Codes

Marey

Mostafa

2022

IEEE Access

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With the advancement and widespread implementation of multiple-input multipleoutput (MIMO) wireless communication systems over the last decade, space-time block coding (STBC) identification has become a critical task for intelligent radios. Previous examinations of STBC identification were focused on single-user transmissions over single-carrier and multicarrier systems in combination with uncoded broadcasts. Practical systems, on the other hand, contain many users and employ error-correcting codes. For the first time in literature, this work explores the problem of STBC identification for multi-user uplink transmissions in singlecarrier frequency division multiple access (SC-FDMA) systems. We take another step closer to real systems by addressing asynchronous transmissions and by conducting multi-user channel estimation. We also exploit the outputs of the channel decoder, which is usually used in many practical systems, to improve the identification and estimation processes. The mathematical analysis demonstrates that the maximum-likelihood (ML) solution of STBC identification, channel estimation, and synchronization can be executed by an iterative approach. The space-alternating generalized expectation-maximization (SAGE) algorithm is used to separate the overlaid signals arriving at the base-station (BS). The parameters under consideration for each user are then updated using an expectation-maximization (EM) processor. Simulation results show that the proposed architecture outperforms other identification methods published in the literature while maintaining a reasonable level of computational complexity.

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An Efficient Space Time Block Code for LTE-A System

Cited by 6 publications

References 9 publications

Comprehensive study on a 2 × 2 full‐rate and linear decoding complexity space–time block code

Comprehensive study on a 2 × 2 full‐rate and linear decoding complexity space–time block code

Orthogonal space-time block codes for large MIMO systems

STBC Identification for Multi-User Uplink SC-FDMA Asynchronous Transmissions Exploiting Iterative Soft Information Feedback of Error Correcting Codes

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