Distributed Hybrid Precoding for Indoor Deployments Using Millimeter Wave Band

Giménez, Sonia; Calabuig, Daniel; Roger, Sandra; Monserrat, José F.; Cardona, Narcís

doi:10.1155/2017/5751809

Cited by 9 publications

(5 citation statements)

References 24 publications

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“…Moreover, due to the fact that mmWave signal propagation has an important property of multipath sparsity, the potentially-available benefit of spatial multiplexing could be limited if the deployment of antenna arrays is co-located [19], [26], especially for the scenario with LOS fading. On the other hand, deploying distributed antennas can increase spectral efficiency and expand coverage of microwave and mmWave wireless communication systems [27]- [32]. With the recent advent of massive MIMO, research on distributed array architectures has drawn renewed interest [33]- [36].…”

Section: Introductionmentioning

confidence: 99%

On the Multiplexing Capability of mmWave Doubly-Massive MIMO Systems in LOS Environments

Yue

Nguyen

2019

IEEE Access

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This paper is concerned with the potential of spatial multiplexing in a millimeter wave (mmWave) multiple-input multiple-output (MIMO) downlink system in which the base station (BS) is equipped with multiple distributed massive antenna subarrays to serve multiple users. The paper first introduces the concept of multiplexing gain when the number of antennas goes to infinity and the transmit power is finite. Assume that each of the user terminals is equipped with a large antenna array, the paper focuses on the simple and cost-effective analog beamforming scheme for the MIMO system operating in mmWave line-of-sight propagation environments. We obtain simple and approximate expressions for the sum rate of the system based on asymptotic analysis in the limit of the numbers of antennas at the BS and at the user terminals when the total transmit power is fixed or scaled down. The approximate expressions show that the employed analog beamforming scheme can achieve a multiplexing gain that is equal to the product of the number of subarrays at the BS and the number of users when the total transmit power is fixed, whereas the multiplexing gain decreases proportionally to such a product when the total transmit power is scaled down. Extensive numerical results are also provided to corroborate analytical results. INDEX TERMSMassive MIMO, millimeter-wave, multiplexing gain, distributed antenna subarrays, analog beamforming, line-of-sight environment.

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Section: Introductionmentioning

confidence: 99%

On the Multiplexing Capability of mmWave Doubly-Massive MIMO Systems in LOS Environments

Yue

Nguyen

2019

IEEE Access

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“…In order to enlarge the diversity gain and/or multiplexing gain in mmWave massive MIMO communication systems, this paper considers a more general antenna array architecture, called distributed antenna subarray architecture, which includes co-located array architecture as special cases. It is pointed out that deploying distributed antennas has shown a promising technique to increase spectral efficiency and expand the coverage of wireless communication networks [21][22][23][24][25]. As such, it is of great interest to consider distributed antenna deployment in the context of mmWave massive MIMO systems.…”

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confidence: 99%

Diversity gain of millimeter-wave massive MIMO systems with distributed antenna arrays

Yue

Nguyen

2019

J Wireless Com Network

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This paper is concerned with diversity gain analysis for millimeter-wave (mmWave) massive MIMO systems employing distributed antenna subarray architecture. First, for a single-user mmWave system in which the transmitter and receiver consist of K t and K r subarrays, respectively, a diversity gain theorem is established when the numbers of subarray antennas go to infinity. Specifically, assuming that all subchannels have the same number of propagation paths L, the theorem states that by employing such a distributed antenna subarray architecture, a diversity gain of K r K t L − N s + 1 can be achieved, where N s represents the number of data streams. This result means that compared to the co-located antenna architecture, using the distributed antenna subarray architecture can scale up the diversity gain proportionally to K r K t . The analysis of diversity gain is then extended to the multiuser scenario as well as the scenario with conventional partially connected radio-frequency structure in the literature. Simulation results obtained with the hybrid analog/digital processing corroborate the analysis results and show that the distributed subarray architecture indeed yields a significantly better diversity performance than the co-located antenna architectures. IntroductionMillimeter-wave (mmWave) communication has recently gained considerable attention as a candidate technology for 5G mobile communication systems and beyond [1][2][3][4][5]. The main reason for this is the availability of vast spectrum in the mmWave band that is very attractive for high data rate communications. However, compared to communication systems operating at lower microwave frequencies (such as those currently used for 4G mobile communications), propagation loss in mmWave frequencies is much higher, in orders of magnitude. Fortunately, given the much smaller carrier wavelengths, mmWave communication systems can make use of compact massive antenna arrays to compensate for the increased propagation loss.Nevertheless, the large-scale antenna arrays together with high cost and large power consumption of the mixed analog/digital signal components make it difficult to equip a separate radio-frequency (RF) chain for each

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“…The SE of a hybrid precoding/ combining based downlink (DL) MU mmWave massive MIMO system was analyzed in [8] considering both centralized and distributed architectures. Gimenez et al [9] proposed a distributed hybrid precoding algorithm and analyzed the performance of an indoor mmWave D-MIMO system. The treatise in [31] exhaustively reviews the developments in symbol detection for space division multiplexing (SDM)-based MIMO systems considering various techniques such as linear MIMO detectors, interference cancellation aided MIMO detectors, tree-search based MIMO detectors, lattice-reduction aided detectors etc.…”

Section: A Review Of the Literaturementioning

confidence: 99%

Distributed Detection for Centralized and Decentralized Millimeter Wave Massive MIMO Sensor Networks

Chawla

Singh

Patel

et al. 2021

IEEE Trans. Veh. Technol.

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Multi-sensor millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) wireless sensor networks (WSNs) relying on both distributed (D-MIMO) and centralized (C-MIMO) configurations are conceived. Hybrid combining based low complexity fusion rules are constructed for the fusion center (FC) for both D-MIMO and C-MIMO systems employing a partially connected structure (PCS) and a fully connected structure (FCS), respectively. The decision rules are based on the transmission of local binary sensor decisions and also take into account the accuracy of local detection at the individual sensors. Closed-form analytical expressions are derived for the probabilities of false alarm and correct detection to analyze the system's performance. Furthermore, the asymptotic distributed detection (DD) performance corresponding to both antenna architectures is analyzed in the large-scale antenna regime along with the pertinent power scaling laws. Additionally, digital signaling matrices are designed for enhancing the system performance. Our simulation results quantify the performance gains of the proposed architectures, which closely match the analytical results.

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Distributed Hybrid Precoding for Indoor Deployments Using Millimeter Wave Band

Cited by 9 publications

References 24 publications

On the Multiplexing Capability of mmWave Doubly-Massive MIMO Systems in LOS Environments

On the Multiplexing Capability of mmWave Doubly-Massive MIMO Systems in LOS Environments

Diversity gain of millimeter-wave massive MIMO systems with distributed antenna arrays

Distributed Detection for Centralized and Decentralized Millimeter Wave Massive MIMO Sensor Networks

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