Reference signal design to mitigate co-channel interference in 5G OFDM systems with multiple numerologies

Dey, Priyanka; Masal, Abhijeet; Kaimalettu, Sunil; Milleth, J. Klutto; Ramamurthi, Bhaskar

doi:10.1016/j.phycom.2022.101653

Cited by 7 publications

(4 citation statements)

References 14 publications

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“…New generations of advanced mobile communications primarily require low‐latency communications [39], that is, small N . Figure 7 shows the variation of BER versus SNR in the case of a low‐latency application.…”

Section: Resultsmentioning

confidence: 99%

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Sparse channel estimation algorithms for OTFS system

et al. 2022

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Orthogonal time-frequency space (OTFS) modulation, which has recently been proposed in the literature, is one of the promising techniques designed in the 2D Delay-Doppler domain adapted to combat high Doppler fading channels. However, channel estimation in high Doppler scenarios in advanced mobile-communication systems is still a challenging task. In this paper, the problem of channel estimation in the Delay-Doppler domain of the OTFS is focused on. First, a simple adaptation of the generalized orthogonal matching pursuit procedure, which will serve as a baseline method in this work, is proposed. Then, iterative algorithms are derived beneficiating from the sparsity of the channel. The unknown channel vector is separated into an unknown sparse support vector corresponding to the delay and Doppler taps, and an unknown vector of channel gains. These algorithms involve 𝓁 1 -norm minimization and a two-stage iterative procedure to recover alternatively the channel support and its coefficients. The estimation problem is also addressed from a Bayesian point of view. The sparse representation is reformulated as a specific marginalization of the maximum a posteriori problem on the support of the channel. To deal with the intractability of this problem, two existing techniques are adapted to this context, namely: The Monte Carlo Markov chain with the Gibbs sampler and variational mean-field approximation with the variational Bayesian expectation-maximization procedure. Finally, to assess the performance of the proposed algorithms, their complexity and performance are compared against existing methods. Experimental tests, conducted in high-mobility scenarios and low-latency applications, show that the proposed schemes are slightly more expensive in terms of complexity load but perform significantly better in terms of normalized mean square error and bit error rate.

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Section: Resultsmentioning

confidence: 99%

“…Here again, it is observed that SoBaP is the best overall and achieves a BER close to that of the oracle. BER under low-latency communications New generations of advanced mobile communications primarily require low-latency communications [39], that is, small N . Figure 7 shows the variation of BER versus SNR in the case of a low-latency application.…”

Section: 32mentioning

confidence: 99%

Sparse channel estimation algorithms for OTFS system

et al. 2022

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“…The introduction of 5G is often facilitated by sharing part of the radio spectrum of 4G-LTE cellular networks with 5G NR. Thus, choosing CP-OFDM at the PHY layer makes it complement, coexist, and adapt to each other’s multiple similarities [ 37 ], even though LTE uses fixed 15 kHz subcarrier spacing for the network-wide data channel and 5G uses integral 15 kHz multiple subcarrier spacings given by 15 ∗ 2η (η integer) [ 38 , 39 ].…”

Section: Introductionmentioning

confidence: 99%

“…OFDM (orthogonal frequency division multiplexing) is another technique used in 5G to reduce the spacing between multiple subcarriers. However, the shorter the spacing, the longer the OFDM symbol duration, and the higher the communication latency [ 39 ].…”

Section: Introductionmentioning

confidence: 99%

Overview of Mobile Communications in Colombia and Introduction to 5G

Barrios-Ulloa

Cama-Pinto

Arrabal-Campos

et al. 2023

Sensors

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The deployment of 5G around the world continues to progress at a rapid pace, especially in North America and Asia. Its advantages and efficiency as a data transmission network have been widely demonstrated in different fields such as agriculture, education, health, and surveillance. However, this process does not have the same dynamics in Latin America, specifically in Colombia. The country is currently implementing actions aimed at facilitating the deployment of this technology in the short term, including pilot tests for the use of the radio spectrum, spectrum auctions, the planning of future auctions, and the review of spectrum caps. The results of this review allow us to conclude that despite the forecasts and the intentions of the Colombian government and mobile communication service operators, 5G in standalone mode will not be commercially available in Colombia before the end of 2023. The main failures in its deployment are related to the lack of available spectrum to support the ultrahigh-reliability and low-latency, enhanced mobile broadband, and massive machine-type communications scenarios, as well as the delay in the auction processes for its assignment.

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