Robust Efficient Hybrid Pre-Coding Scheme for mmWave Cell-Free and User-Centric Massive MIMO Communications

Guo, Ji-Chong; Yu, Qiyue; Sun, Wen-Bin; Meng, Weixiao

doi:10.1109/twc.2021.3089501

Cited by 27 publications

(13 citation statements)

References 42 publications

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“…While the wireless communication distance is severely restricted, owing to serious path-loss attenuation and high sensitivity to blockage, the short wavelength of mmWave frequencies, on the other hand, allows for a dense packing of large antenna arrays for highly directional beamforming. From these aspects, the synergistic integration between the mmWave and CF-mMIMO with deployment of large number of antennas at the APs envisions a significant improvement in the system performance in terms of SE and network connectivity [180]- [184].…”

Section: Cell-free Massive Mimo and Millimeter Wave Communicationmentioning

confidence: 99%

“…Hybrid beamforming design has been so far mainly addressed for point-to-point communication and classic cellular systems [188]- [192], while fewer studies [180]- [183] have been carried out in the space of mmWave CF-mMIMO. More specifically, Guo et al [180] proposed a hybrid precoding scheme with two heuristic statistical-CSI based analogbeamforming designs to minimize the simplified sum-meansquare-error objective function for mmWave cell-free and UC massive MIMO systems. Moreover, a theoretical analysis on the impact of imperfect state information of beams was presented, from both instantaneous and ergodic aspects, to verify the robustness of the proposed hybrid scheme.…”

Section: A Literature Reviewmentioning

confidence: 99%

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Next Generation Multiple Access with Cell-Free Massive MIMO

Mohammadi,

Mobini,

Ngo

et al. 2023

Preprint

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<p>To meet the unprecedented mobile traffic demands of future wireless networks, a paradigm shift from conventional cellular networks to distributed communication systems is imperative. Cell-free massive multiple-input multiple-output (CF-mMIMO) represents a practical and scalable embodiment of distributed/network MIMO systems. It inherits not only the key benefits of co-located massive MIMO systems but also the macro-diversity gains from distributed systems. This innovative architecture has demonstrated significant potential in enhancing network performance from various perspectives, outperforming co-located mMIMO and conventional small-cell systems. Moreover, CF-mMIMO offers flexibility in integration with emerging wireless technologies such as full-duplex (FD), non-orthogonal transmission schemes, millimeter-wave (mmWave) communications, ultra-reliable low-latency communication (URLLC), unmanned aerial vehicle (UAV)-aided communication, and reconfigurable intelligent surfaces (RISs). In this paper, we provide an overview of current research efforts on CF-mMIMO systems and their promising future application scenarios. We then elaborate on new requirements for CF-mMIMO networks in the context of these technological breakthroughs. We also present several current open challenges and outline future research directions aimed at fully realizing the potential of CF mMIMO systems in meeting the evolving demands of future wireless networks.</p>

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Section: Cell-free Massive Mimo and Millimeter Wave Communicationmentioning

confidence: 99%

Section: A Literature Reviewmentioning

confidence: 99%

Next Generation Multiple Access with Cell-Free Massive MIMO

Mohammadi,

Mobini,

Ngo

et al. 2023

Preprint

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“…The main intension of performing the pre‐coding scheme at a UE is to mitigate the IAI and improves the system performance. Several conventional pre‐coding schemes have been discussed in literature (Buzzi & D’Andrea, 2018; Guo et al., 2021; Hong et al., 2020; Kibona et al., 2021). However, they are suffer from huge trade‐off gap.…”

Section: Lll Based Lrpre‐coding Schemementioning

confidence: 99%

Precoded Large Scale Multi‐User‐MIMO System Using Likelihood Ascent Search for Signal Detection

Bagadi

Alibakhshikenari

et al. 2022

Radio Science

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Multiple antennas at each user equipment (UE) and/or thousands of antennas at the base station (BS) comprise the extremely spectrum efficient large scale multi‐user multiple input multiple output system (BS). Due to space constraints, the closely spaced numerous antennas at each UE may cause inter antenna interference (IAI). Furthermore, when one UE comes into contact with another UE in the same cellular network, multi‐user interference (MUI) may be introduced to the received signal. To mitigate IAI, efficient precoding pre‐coding is necessary at each UE, and the MUI present at the BS can be canceled by efficient Multi‐user Detection (MUD) techniques. The majority of earlier literature deal with one or more of these interferences. This paper implements a joint pre‐coding and MUD, Lenstra‐Lovasz (LLL) based Lattice Reduction (LR) assisted likelihood accent search (LAS) (LLL‐LR‐LAS), to mitigate IAI and MUI simultaneously LLL‐based LR pre‐coding mitigates IAI at each UE, and the LAS algorithm is a neighborhood search‐based MUD that cancels BS MUI. The proposed approaches' performance was evaluated using Bit Error Rate analysis, and their complexity were determined using multiplication and addition.

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“…Most of the research on CF-mMIMO has been so far mainly carried with reference to sub-6 GHz frequencies, while fewer studies (such as, for instance, [8]- [10]) have addressed CF-mMIMO systems operating at mmWave carrier frequencies. Nonetheless, it is anticipated that in crowded areas with highdemand for mobile broadband services both a large number of distributed antenna (such as CF-mMIMO) and high-carrier frequencies will be needed, thus implying that CF-mMIMO at mmWave will be one of the typical deployments for future beyond-5G and 6G scenarios.…”

Section: Introductionmentioning

confidence: 99%