Impact of imperfect beam alignment on the rate-positioning trade-off

Destino, Giuseppe; Saloranta, Jani; Wymeersch, Henk; Granados, G.S.

doi:10.1109/wcnc.2018.8377452

Cited by 9 publications

(9 citation statements)

References 15 publications

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“…The following trade-off between localization accuracy and communication rate was revealed: more time spent for beam alignment leads to better SNR and improved localization accuracy, but it will result in less time for data transmission and hence lower data rate. Moreover, in [219], the impact of imperfect beam alignment on the rate-localization trade-off was considered. In [220], the authors extended their prior work in [218] into a multi-user scenario, and the trade-off between the sum-rate and localization accuracy in uplink for multi-user mmWave communication system was researched.…”

Section: Localization and Communication Co-designmentioning

confidence: 99%

An Overview on Integrated Localization and Communication Towards 6G

Xiao¹,

Zeng²

2020

Preprint

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While the fifth generation (5G) cellular system is being deployed worldwide, researchers have started the investigation of the sixth generation (6G) mobile communication networks. Although the essential requirements and key usage scenarios of 6G are yet to be defined, it is believed that 6G should be able to provide intelligent and ubiquitous wireless connectivity with Terabits per second (Tbps) data rate and sub-millisecond (sub-ms) latency over three-dimensional (3D) network coverage. To achieve such goals, acquiring accurate location information of the mobile terminals is becoming extremely useful, not only for location-based services but also for improving wireless communication performance in various ways such as channel estimation, beam alignment, medium access control, routing, and network optimization. On the other hand, the advancement of communication technologies also brings new opportunities to greatly improve the localization performance, as exemplified by the anticipated centimeter-level localization accuracy in 6G by ultra massive MIMO (multiple-input multiple-output) and millimeter wave (mmWave) technologies. In this regard, a unified study on integrated localization and communication (ILAC) is necessary to unlock the full potential of wireless networks for the best utilization of network infrastructure and radio resources for dual purposes. While there are extensive literatures on wireless localization or communications separately, the research on ILAC is still in its infancy. Therefore, this article aims to give a tutorial overview on ILAC towards 6G wireless networks. After a holistic survey on wireless localization basics, we present the state-ofthe-art results on how wireless localization and communication inter-play with each other in various network layers, together with the main architectures and techniques for localization and communication co-design in current two-dimensional (2D) and future 3D networks with aerial-ground integration. Finally, we outline some promising future research directions for ILAC.

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Section: Localization and Communication Co-designmentioning

confidence: 99%

An Overview on Integrated Localization and Communication Towards 6G

Xiao¹,

Zeng²

2020

Preprint

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“…and ϕ e IRS,2 are stored for determining Θ 1 in the next communication period, and are adopted by the IRS controller to determine Θ 2 for the subsequent effective data transmission in this communication period. The h 1 is substituted into (44) in Section IV-B for calculating the EADR of this communication period. The CRLB and EADR are stored as objectives to be optimized, and will be input to the joint optimization module in Step 4.…”

Section: Working Processmentioning

confidence: 99%

“…It is remarkable that when the communication and localization approaches are integrated in one system, a trade-off exists between the positioning accuracy and effective achievable data rate (EADR) [42]- [46]. From this perspective, G. Destino, et al [42]- [44], performed some important works by dividing a fixed communication duration into two separate time slots for localization and effective data transmission, respectively, and inquiring into the trade-off between the positioning quality and EADR. R. Koirala, et al [45], also studied the trade-off from the perspective of the time allocation, and formulated optimization problems to optimize the localization and EADR performances.…”

Section: Introductionmentioning

confidence: 99%

Joint beamforming for intelligent reflecting surface aided wireless communication using statistical CSI

Dang

Zhang

2020

China Commun.

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Intelligent reflecting surface (IRS) is a novel burgeoning concept, which possesses advantages in enhancing wireless communication and user localization, while maintaining low hardware cost and energy consumption. Herein, we establish an IRS-aided mmWave-MIMO based joint localization and communication system (IMM-JLCS), and probe into its performance evaluation and optimization design.Specifically, first, we provide the signal, channel and estimation error models, and contrive the working process of the IMM-JLCS in detail. Then, by configuring appropriate IRS phase shifts, we derive the closed-form expressions of the Cramér-Rao Lower Bound (CRLB) of the position/orientation estimation errors and the effective achievable data rate (EADR), with respect to the time allocation ratio of the beam alignment and localization stage (BALS). Subsequently, we investigate the trade-off between the two performance metrics, for which we propose a joint optimization algorithm. Finally, we carry out simulations and comparisons to view the trade-off and validate the effectiveness of the proposed algorithm, in the presence of distinct levels of estimation uncertainty and user mobility. Our results demonstrate that the proposed algorithm can find the joint optimal solution for the position/orientation estimation accuracy and EADR, with its optimization performance being robust to slight localization or channel estimation errors and user mobility.

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“…We consider an MIMO-orthogonal frequency-division multiplexing (OFDM) communication system, similar to [15], [17] and look into two beam alignment strategies as mentioned in Section IV, namely, exhaustive search and hierarchical search strategy. The transmit signal is OFDM with 2048 sub-carriers of which N FFT = 1200 sub-carriers in use with ∆ f = 75 kHz spacing, center frequency is selected f c = 28 GHz.…”

Section: Simulation Studymentioning

confidence: 99%

“…7a that the overall performance with respect to SNR in hierarchical search strategy is slightly worse than with exhaustive search strategy -as expected. That is because if error on beam selection is done in level k in hierarchical search, it is not possible to realign the beam search procedure to capture the correct beam on levels k + 1 [17].…”

Section: Simulation Studymentioning

confidence: 99%

Smart-RF for mmWave MIMO Beamforming

Susarla

Saloranta

Destino

et al. 2018

2018 IEEE 29th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)

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We study the performance of a prototype of a millimeter-wave transceiver with radio frequency (RF) beamforming capabilities. More specifically, the focus is on the architecture and software implementation of a smart-RF that allows self-beam-alignment. Simulation studies shows the expected performance in terms of probability of misalignment and coverage using different beam search strategies as well as realistic antenna beam patterns and phase-shifters quantization constraints.

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Impact of imperfect beam alignment on the rate-positioning trade-off

Cited by 9 publications

References 15 publications

An Overview on Integrated Localization and Communication Towards 6G

An Overview on Integrated Localization and Communication Towards 6G

Joint beamforming for intelligent reflecting surface aided wireless communication using statistical CSI

Smart-RF for mmWave MIMO Beamforming

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