Comparison of different beamtraining strategies from a rate-positioning trade-off perspective

Saloranta, Jani; Destino, Giuseppe; Wymeersch, Henk

doi:10.1109/eucnc.2017.7980738

Cited by 14 publications

(17 citation statements)

References 10 publications

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“…In [8], [16], the impact on the effective rate and PEB due to the initial access overhead is studied in details. Generally, it was shown that an optimal beamwidth size can be determined for the exhaustive beam sweeping strategy.…”

Section: B Antenna Reconfigurationmentioning

confidence: 99%

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Reconfiguration of 5G radio interface for positioning and communication

Saloranta

Destino

2017

2017 25th European Signal Processing Conference (EUSIPCO)

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Abstract-In addition to high data rate, millimeter-wave technology has great potential to provide extremely high localization accuracy. In this paper, we outline the benefits of this technology for positioning and their main applications, which are no longer confined to services only but also to improve communication. We shall focus on the trade-off between data communication and positioning looking the reconfiguration mechanisms of the radio interface. Specifically, in this paper we investigate a tradeoff between achievable data rate and positioning capability via position and rotation error bound analysis, with the aim of achieving an optimal trade-off. I. INTRODUCTIONOne of the key innovations of 5G communication, the next generation of mobile networks, is considered to be millimeter wave (mmW). Many research studies as well as 5G prototypes [1] are looking into this new technology in order to understand and verify its real rendering capabilities. [2] In contrast to the predecessor Long Term Evolution (LTE) technology, the 5G has to address a large variety of application requirements spanning from extremely high data rate and accurate positioning capabilities to ultra-reliable communications as well as very low-latency. For this reason the development of flexible and reconfigurable radios (signal waveforms, hardware and transmission techniques) is a key for success as it can enable agile and efficient service multiplexing. [3], [4] One of the most established technology towards this trend is the beamsteering functionality, [5] which has proven capabilities to provide higher data rates, as well as improved positioning accuracies. On the other hand, to achieve full capabilities of proposed future communication systems, the requirement to adjust all aforementioned radio reconfiguration parameters is clear.Furthermore, direct corollary of very different requirements, risen by variety of different applications, is the trade-offs between performance metrics. Then, each performance metric is a function of a different set of radio parameters. Thus a joint analysis is a requisite to have a clear insight into the overall performance of the communication system.The remainder of this article is organized as follows. First, we present the mmW single-user multiple-input-multipleoutput (MIMO) communication system. We continue by introducing the radio reconfiguration parameters under this study, formulate the performance metrics as well as provide light analysis about the effect of those parameters. We extend the analysis via simulation results. Finally, conclusions are drawn.

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Section: B Antenna Reconfigurationmentioning

confidence: 99%

“…This is explained by analysing equation (11) as a function of ∆ f given M . More specifically, in [16] it is shown that …”

Section: B Trade-off Between Rate and Subcarrier Spacingmentioning

confidence: 99%

Reconfiguration of 5G radio interface for positioning and communication

Saloranta

Destino

2017

2017 25th European Signal Processing Conference (EUSIPCO)

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“…With coverage ranges that can extend to hundreds of meters, the network must be solely responsible for localization, while also simultaneously achieving high data rates in such scenarios [1]. Communication performance in 5G networks will be limited by the amount of time required to align the highly directional beams of the communicating nodes, particularly for exhaustive beam searches, which are costly to capacity [5]. A network that is able to localize node positions can significantly reduce the time spent on beam alignment and increase capacity [6].…”

Section: Introductionmentioning

confidence: 99%

Wireless localization for mmWave networks in urban environments

Ruble

Güvenç

2018

EURASIP J. Adv. Signal Process.

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Millimeter wave (mmWave) technology is expected to be a major component of 5G wireless networks. Ultra-wide bandwidths of mmWave signals and the possibility of utilizing large number of antennas at the transmitter and the receiver allow accurate identification of multipath components in temporal and angular domains, making mmWave systems advantageous for localization applications. In this paper, we analyze the performance of a two-step mmWave localization approach that can utilize time-of-arrival, angle-of-arrival, and angle-of-departure from multiple nodes in an urban environment with both line-of-sight (LOS) and non-LOS (NLOS) links. Networks with/without radio-environmental mapping (REM) are considered, where a network with REM is able to localize nearby scatterers. Estimation of a UE location is challenging due to large numbers of local optima in the likelihood function. To address this problem, a gradient-assisted particle filter (GAPF) estimator is proposed to accurately estimate a user equipment (UE) location as well as the locations of nearby scatterers. Monte-Carlo simulations show that the GAPF estimator performance matches the Cramer-Rao bound (CRB). The estimator is also used to create a REM. It is seen that significant localization gains can be achieved by increasing beam directionality or by utilizing REM.

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“…As mmW has the dual use of communication and positioning, it is then natural to analyze the trade-offs and synergies during initial access. Building on [12], [13], we quantify the trade-off between the data rate and positioning accuracy, as we vary the training overhead. In contrast to [12], [13], we account for the wrong beam decisions that will occur during the beam alignment process.…”

Section: Introductionmentioning

confidence: 99%

“…Building on [12], [13], we quantify the trade-off between the data rate and positioning accuracy, as we vary the training overhead. In contrast to [12], [13], we account for the wrong beam decisions that will occur during the beam alignment process. We show that for the hierarchical search, when the initial SNR (i.e., in the first steps of alignment procedure) is low, both data rate and positioning accuracy are severely affected.…”

Section: Introductionmentioning

confidence: 99%

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

Destino

Saloranta

Wymeersch

et al. 2018

2018 IEEE Wireless Communications and Networking Conference (WCNC)

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We consider the beam-training procedure in the future 5G millimeter-wave systems and collect position information based on the received signals. We analyze the degradation due to beam misalignment on the achievable rate and on the amount of information available for positioning. We evaluate the performance of two beam-training strategies, namely, exhaustive and hierarchical. Our results reveal new insights on the trade-off between positioning and communication performance.

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Comparison of different beamtraining strategies from a rate-positioning trade-off perspective

Cited by 14 publications

References 10 publications

Reconfiguration of 5G radio interface for positioning and communication

Reconfiguration of 5G radio interface for positioning and communication

Wireless localization for mmWave networks in urban environments

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

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