Channel estimation in a MIMO relay system: Challenges &amp; approaches channel estimation in MIMO relay system: A review

Kaur, Hardeep; Khosla, Mamta; Sarin, R. K.

doi:10.1109/icisc.2018.8399065

Cited by 6 publications

(3 citation statements)

References 82 publications

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“…Indeed, one can then employ results from, e.g., [97] to arrive at the following factorization M m for real B0 and imaginary ∆0 , respectively. 20 Substituting in (56) and using well-known properties of the Kronecker product and the vec operator [93] yields the following expression for the CFR estimate of the rth channel:…”

Section: Appendix C Channel Estimation and Data Detection With Colore...mentioning

confidence: 99%

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A Tensor-based Approach to Joint Channel Estimation / Data Detection in Flexible Multicarrier MIMO Systems

Kofidis

2019

Preprint

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Filter bank-based multicarrier (FBMC) systems have attracted increasing attention recently in view of their many advantages over the classical cyclic prefix (CP)-based orthogonal frequency division multiplexing (CP-OFDM) modulation. However, their more advanced structure (resulting in, for example, self interference) complicates signal processing tasks at the receiver, including synchronization, channel estimation and equalization. In a multiple-input multiple-output (MIMO) configuration, the multi-antenna interference has also to be taken into account. (Semi-) blind receivers, of increasing interest in (massive) MIMO systems, have been little studied so far for FBMC and mainly for the single-antenna case only. The design of such receivers for flexible MIMO FBMC systems, unifying a number of existing FBMC schemes, is considered in this paper through a tensorbased approach, which is shown to encompass existing joint channel estimation and data detection approaches as special cases, adding to their understanding and paving the way to further developments. Simulation-based results are included, for realistic transmission models, demonstrating the estimation and detection performance gains from the adoption of these receivers over their training only-based counterparts. I. INTRODUCTIONF ILTER bank-based multicarrier (FBMC) systems [1] have recently attracted increasing attention as a competent alternative to the classical cyclic prefix (CP)-based orthogonal frequency division multiplexing (CP-OFDM) modulation, in a wide range of applications, including both wireless (e.g., ad-hoc public safety) and wired (e.g., fiber optics) communications [2]. The potential of FBMC transmission stems from its increased ability to carrying a flexible spectrum shaping, along with a major increase in spectral efficiency and robustness to synchronization requirements, features of fundamental importance in modern and future networks. However, its more advanced structure (resulting in, for example, self interference) complicates signal processing tasks at the receiver, including synchronization, channel estimation and equalization [2]. In a multiple-input multiple-output (MIMO) configuration, the multi-antenna interference has also to be taken into account, which can be a challenge in, for example, offset quadrature amplitude modulation (OQAM)-based FBMC [3]. Nevertheless FBMC(/OQAM) is being also considered for massive MIMO systems [4], [5] and has also shown its potential in the envisaged millimeter wave (mmWave) communications [6].

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Section: Appendix C Channel Estimation and Data Detection With Colore...mentioning

confidence: 99%

“…n=0 diag(c * n ⊙ c n ) −1 N −1 n=0 diag(c * n )y (r) n ,20 Observe that the Λ n matrices enjoy the symmetryΛ n = Λ N−1−n , n = 0, 1, . .…”

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confidence: 99%

A Tensor-based Approach to Joint Channel Estimation / Data Detection in Flexible Multicarrier MIMO Systems

Kofidis

2019

Preprint

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“…The simplest of the relaying protocols is called Amplify-and-Forward (AF) As its name suggests, the incoming signals are amplified, and then forwarded to the intended destination. The main advantage of this non -regenerative process is that no complex decodingis performed at the relay, so its hardware and software complexities arereduced with comparison to the so-called regenerative protocols, such as the Decode-and-Forward (DF), favoring its mass implementation [15][16]. As a drawback, due to its simple operation, noise and interference are also amplified, limiting the benefits of relaying.…”

Section: Introductionmentioning

confidence: 99%

On the Joint Symbol and Channel Estimation for Three-Hop MIMO Relaying Links

Ximenes¹

2019

IJAERS

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There is a consensus that cooperative communication is a key technology for the upcoming generations of mobile communications. Whether under the Coordinated Multipoint (CoMP), Device-to-Device (D2D) communication or Internet of Things (IoT) scopes, there is little doubt that a more decentralized network, where several communicating agents smartly cooperate to improve data rate and reliability, is fundamental to cope with the always scarce resources of energy and bandwidth. When relaying stations are deployed to increase signal coverage and to provide cooperative diversity, the concatenation of two or more point-to-point MIMO channels impose a restriction on conventional algorithms for channel estimation. Although single-relay, two-hop Amplify-and-Forward (AF) systems have been reasonably investigated, there are enough evidences that more transmission hops will be a common scenario in the next years. This work proposes a semi-blind receiver for the task of joint symbol and channel estimation in a threehop AF MIMO system. Resorting to a Nested PARAFAC tensor model, new estimating equations were derived, along studies on the uniqueness and identifiability conditions concerning the aforementioned receiver. Simulations corroborate the validity of the receiver as an effective option.

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Joint Precoder and Decoder for MIMO Dual-Hop Relay Systems in Delay Spread Channels

Hương

Hiep

2021

Wireless Pers Commun

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Channel estimation in a MIMO relay system: Challenges & approaches channel estimation in MIMO relay system: A review

Cited by 6 publications

References 82 publications

A Tensor-based Approach to Joint Channel Estimation / Data Detection in Flexible Multicarrier MIMO Systems

A Tensor-based Approach to Joint Channel Estimation / Data Detection in Flexible Multicarrier MIMO Systems

On the Joint Symbol and Channel Estimation for Three-Hop MIMO Relaying Links

Joint Precoder and Decoder for MIMO Dual-Hop Relay Systems in Delay Spread Channels

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