Beamwidth Design for Beam Scanning in Millimeter-Wave Cellular Networks

Fan, Jiancun; Han, Liyuan; Luo, Xizhao; Zhang, Ying; Joung, Jingon

doi:10.1109/tvt.2019.2951821

Cited by 22 publications

(15 citation statements)

References 13 publications

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“…In [34], the authors initially modeled and derived the trade-off caused by beamwidth in a multi-user mmWave network. Similar optimizations that balance the beamforming gain and the beam training overhead were also investigated in [14,24,27]. However, their solutions heavily depend on the physical layer assumptions or prior knowledge such as channel model, beam pattern model, and network topology, which restricts their flexibility in practical deployments in MANETs where the channel is rapidly changing.…”

Section: Related Workmentioning

confidence: 99%

MmWave Codebook Selection in Rapidly-Varying Channels via Multinomial Thompson Sampling

Zhang

Basu

Shakkottai

et al. 2021

Proceedings of the Twenty-Second International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Net

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Millimeter-wave (mmWave) communications, using directional beams, is a key enabler for high-throughput mobile ad hoc networks. These directional beams are organized into multiple codebooks according to beam resolution, with each codebook consisting of a set of equal-width beams that cover the whole angular space. The codebook with narrow beams delivers high throughput, at the expense of scanning time. Therefore overall throughput maximization is achieved by selecting a mmWave codebook that balances between beamwidth (beamforming gain) and beam alignment overhead. Further, these codebooks have some potential natural structures such as the non-decreasing instantaneous rate or the unimodal throughput as one traverses from the codebook with wide beams to the one with narrow beams. We study the codebook selection problem through a multi-armed bandit (MAB) formulation in mmWave networks with rapidly-varying channels. We develop multiple novel Thompson Sampling-based algorithms for our setting given different codebook structures with theoretical guarantees on regret. We further collect real-world (60 GHz) measurements with 12-antenna phased arrays, and show the performance benefits of our approaches in an IEEE 802.11ad/ay emulation setting. CCS CONCEPTS• Networks → Mobile networks; • Computing methodologies → Machine learning algorithms; • Mathematics of computing → Bayesian computation.

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Section: Related Workmentioning

confidence: 99%

MmWave Codebook Selection in Rapidly-Varying Channels via Multinomial Thompson Sampling

Zhang

Basu

Shakkottai

et al. 2021

Proceedings of the Twenty-Second International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Net

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“…Combining (10) and (12), the final expression of UE discovery probability in one slot is obtained as…”

Section: A Signal To Interference Plus Noise Ratiomentioning

confidence: 99%

“…While the gain of BF improves the system capacity. Therefore, there is a tradeoff between the search delay and the capacity of mmWave systems [10].…”

Section: Introductionmentioning

confidence: 99%

Delay Analysis and Optimization of Beam Scanning-Based User Discovery in Millimeter Wave Systems

et al. 2020

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“…However, the traditional EBS scheme requires considerable time for beam training, leading to potentially excessive system overhead. A previous study elaborated on the trade-off between the operating beamwidth and latency/throughput [17], [18]. For transmissions associated with narrower beams, the EBS scheme results in increased latency and reduced throughput, which makes it less attractive, especially for numerous users and APs.…”

mentioning

confidence: 99%

“…Hence, we continue by comparing our proposed beamforming training scheme relying on a beneficial frame structure to the most pertinent contributions in TableI . The majority of the existing literature has aimed for achieving low-latency beam training using either formal or heuristic optimization Some abbreviations in Table I are [18] P2P EBS-EBS [19] P2P PS-PS [20], [21] P2P PS-PS [22] P2P EBS-PS [23], [24] P2MP EBS-EBS [25] P2MP EBS-EBS [26] P2MP EBS-EBS [27] P2MP EBS-PS [28] P2MP PS-PS [29], [30] MP2MP…”

mentioning

confidence: 99%

Coordinated Multiple Access Point Multiuser Beamforming Training Protocol for Millimeter Wave WLANs

Shen

Feng

Hanzo

2020

IEEE Trans. Veh. Technol.

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Millimeter wave (mmWave) systems have attracted considerable attention as a benefit of their Gbps services. Therefore, wireless-gigabit (WiGig) transmission has been developed based on the IEEE 802.11ad and 802.11ay standards of wireless local area networks (WLANs) in the 60-GHz band. To overcome the high path loss of mmWave, beamforming and beam-sector based training protocols are specified in 802.11ad/ay. With the increase in service demand, more WiGig access points (APs) will be deployed, hence the transmission frame structure of beam control should be adjustable for supporting both multiple APs and multiple users. The conventional exhaustive beam search (EBS) scheme has a potentially excessive complexity for high number of beams. Furthermore, assigning fixed training slots for users will lead to high-latency beam training under EBS. Hence, we design an advanced protocol for multiple APs and multiple users. Based on this protocol, we propose coordinated multiple AP multiuser training (CMMBT) including variable length framing and adjustable beam training. Our simulations demonstrate that CMMBT provides flexible training control and achieves the lowest training latency and highest average throughput performance amongst the state-of-the-art solutions in the open literature. Index Terms-Millimeter wave communications, wireless local area networks, multiuser association, beamforming training, non-slotted frame structure. I. INTRODUCTION The increasing number of wireless devices and the rapid evolution of high-rate applications such as high definition video streaming have led to a considerable increase in the amount of wireless tele-traffic [1]. This issue is critical both for industry and academia, since the existing sub-6 GHz communication systems are simply unable to support the simultaneous high-rate service demands of a large number of connections. Hence, millimeter wave (mmWave) solutions having high spectral resources have attracted increasing attention in the context of next-generation systems [2]. Therefore, several international organizations are developing mmWave

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Beamwidth Design for Beam Scanning in Millimeter-Wave Cellular Networks

Cited by 22 publications

References 13 publications

MmWave Codebook Selection in Rapidly-Varying Channels via Multinomial Thompson Sampling

MmWave Codebook Selection in Rapidly-Varying Channels via Multinomial Thompson Sampling

Delay Analysis and Optimization of Beam Scanning-Based User Discovery in Millimeter Wave Systems

Coordinated Multiple Access Point Multiuser Beamforming Training Protocol for Millimeter Wave WLANs

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