Noncoherent mmWave Path Tracking

Rasekh, Maryam Eslami; Marzi, Zhinus; Zhu, Yanzi; Madhow, Upamanyu; Zheng, Haitao

doi:10.1145/3032970.3032974

Cited by 84 publications

(58 citation statements)

References 23 publications

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“…There are several hardware prototypes that consider a practical approach of using received signal strength (RSS) in CS-based beam training. Channel estimation problem without phase measurement is a challenging problem, which was solved via novel signal processing algorithms based on RSS matching pursuit [26], Hash table [27], and sparse phase retrieval [28]. Note that phase free measurements were associated with a particular testbed, and this constraint does not necessarily apply to mmW systems in general.…”

Section: A Related Workmentioning

confidence: 99%

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Compressive Initial Access and Beamforming Training for Millimeter-Wave Cellular Systems

Han

Čabrić

2019

IEEE J. Sel. Top. Signal Process.

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Initial access (IA) is a fundamental physical layer procedure in cellular systems where user equipment (UE) detects nearby base station (BS) as well as acquire synchronization. Due to the necessity of using antenna array in millimeter-wave (mmW) IA, the channel spatial information can also be inferred. The state-of-the-art directional IA (DIA) uses sector sounding beams with limited angular resolution, and thus requires additional dedicated radio resources, access latency and overhead for refined beam training. To remedy the problem of access latency and overhead in DIA, this work proposes to use a quasi-omni pseudorandom sounding beam for IA, and develops a novel algorithm for joint initial access and fine resolution initial beam training without requiring extra radio resources. We provide the analysis of the proposed algorithm miss detection rate under synchronization error, and further derive Cramér-Rao lower bound of angular estimation under frequency offset. Using QuaDRiGa simulator with mmMAGIC model at 28 GHz, the numerical results show that the proposed approach is advantageous to DIA with hierarchical beam training. The proposed algorithm offers up to two order of magnitude access latency saving compared to DIA, when the same discovery, post training SNR, and overhead performance are targeted. This conclusion holds true in various propagation environments and 3D locations of a mmW pico-cell with up to 140m radius.

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Section: A Related Workmentioning

confidence: 99%

“…The phase noise detrimental impact becomes more severe with increased carrier frequency. Proper phase noise compensation as well as non-coherent CS-based beam training [26]- [28] are naturally immune to phase error and are worth investigation.…”

Section: Umi Nlos Ues In Plane #2mentioning

confidence: 99%

Compressive Initial Access and Beamforming Training for Millimeter-Wave Cellular Systems

Han

Čabrić

2019

IEEE J. Sel. Top. Signal Process.

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“…That is, we will show that if q a 1 = q a 2 , then δ(y s1 , y s2 ) ≤ δ(y ν s1 , y ν s2 ), where δ(·, ·) is defined as in Eq. (22).…”

Section: Error Correctionmentioning

confidence: 99%

“…Nevertheless, if a carrier frequency offset (CFO) error occurs in the transceiver hardware, the phase information might be unreliable. Hence, the work in [18], [19], [22] tackle this problem by ignoring the phase information. Similar to [18], [19], the solution in [22] can only obtain one (dominant) path between TX and RX using a compressed sensing based technique.…”

Section: Introductionmentioning

confidence: 99%

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Beam Discovery Using Linear Block Codes for Millimeter Wave Communication Networks

Shabara

Köksal

Ekici

2019

IEEE/ACM Trans. Networking

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The surge in mobile broadband data demands is expected to surpass the available spectrum capacity below 6 GHz. This expectation has prompted the exploration of millimeter wave (mm-wave) frequency bands as a candidate technology for next generation wireless networks. However, numerous challenges to deploying mm-wave communication systems, including channel estimation, need to be met before practical deployments are possible. This work addresses the mm-wave channel estimation problem and treats it as a beam discovery problem in which locating beams with strong path reflectors is analogous to locating errors in linear block codes. We show that a significantly small number of measurements (compared to the original dimensions of the channel matrix) is sufficient to reliably estimate the channel. We also show that this can be achieved using a simple and energyefficient transceiver architecture.

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