Enabling Dense Spatial Reuse in mmWave Networks

Jog, Suraj; Wang, Jiaming; Hassanieh, Haitham; Choudhury, Romit Roy

doi:10.1145/3234200.3234241

Cited by 4 publications

(16 citation statements)

References 4 publications

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“…8 Related Works mmWave communication is considered to be the future of mobile communications, on which extensive research has been conducted [16,27,33,38,54]. However, mmWave communication suffers from high attenuation, such that antenna arrays for effective beamforming are necessary [20,32,35,36,39,50,53]. In efforts to increase the coverage and reliability of mmWave systems, approaches such as dense deployment of base stations (BS) [41,63], dual-band wireless network architecture with sub-6GHz [80], relays [21,61,65], and distributed antennas [51,60,62,75] has been proposed.…”

Section: Extension To 3d Beamformingmentioning

confidence: 99%

Channel Estimation for Reconfigurable Intelligent Surface-Aided mmWave Communications

Kim

Shim

2022

GLOBECOM 2022 - 2022 IEEE Global Communications Conference

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Metasurface has recently emerged as an economic solution to expand mmWave coverage. However, their pervasive deployment remains a challenge, mainly due to the difficulty in reaching the tight 260ns NR synchronization requirement and real-time wireless reconfiguration while maintaining multiyear battery life. This paper presents NR-Surface, the first real-time reconfigurable metasurface fully compliant with the NR standard, operating at 242.7 µW for a 2.1-year lifetime on an AA battery. NR-Surface incorporates (i) a new extremely low-power (14KHz sampling) reconfiguration interface, NarrowBand Packet Unit (NBPU), for synchronization and real-time reconfiguration, and (ii) a highly responsive and low-leakage metasurface designed for low-duty cycled operation, by carefully leveraging the structure and the periodicity of the NR beam management procedure in the NR standard. NR-Surface is prototyped and evaluated end-to-end with NR BS built on srsRAN to demonstrate diverse usage scenarios including multiple NR-Surface per BS, multiple UE per NR-Surface, and 3D beamforming. Around-the-corner UE evaluations showcase NR-Surface efficacy under different user mobility patterns (20.3dB gain) and dynamic blockage (22.2dB gain).

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Section: Extension To 3d Beamformingmentioning

confidence: 99%

Channel Estimation for Reconfigurable Intelligent Surface-Aided mmWave Communications

Kim

Shim

2022

GLOBECOM 2022 - 2022 IEEE Global Communications Conference

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“…Although MUST focuses on the physical layer, it needs support from higher layers of the protocol to redirect user traffic. In a densely deployed mmWave network, spatial reuse is used to increase the number of simultaneous transmissions in a given region [17]. It relies on highly directional beamforming at both physical and link layers.…”

Section: Related Workmentioning

confidence: 99%

COded Taking And Giving (COTAG): Enhancing Transport Layer Performance over Indoor Millimeter Wave Access Networks

Wu¹,

Huang²,

Ramanathan³

2019

Preprint

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Millimeter wave (mmWave) access networks have the potential to meet the high-throughput and low-latency needs of immersive applications. However, due to the highly directional nature of the mmWave beams and due to their susceptibility to human-induced blockage, the associated wireless communication links are vulnerable to large fluctuations in channel quality. These large fluctuations result in disproportionately adverse effects on performance of transport layer protocols such as Transmission Control Protocol (TCP). Furthermore, we show in this paper, that TCP continues to significantly under perform even when dual-connectivity is used to combat the effects of channel quality fluctuations. To overcome this challenge, we propose a network layer solution, Coded Taking and Giving (COTAG) scheme to sustain low-latency and high-throughput end-to-end TCP performance. In particular, COTAG creates network encoded packets at the network gateway and each mmWave access point (AP) aiming to adaptively take the spare bandwidth on each link in the network for packet transmission. Further, if one link does not have enough bandwidth, COTAG actively gives up the transmission opportunity via conditionally dropping packets. Consequently, the proposed COTAG actively adapts to changes in mmWave link quality and enhances the TCP performance without jeopardizing the latency of immersive connect delivery. To evaluate the effectiveness of the proposed COTAG, we conduct experiments and simulations using off-the-shelf APs and NS-2. The evaluation results show the proposed COTAG significantly improves end-to-end TCP performance.

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“…To overcome the above mentioned challenges and to provide robust connectivity to user equipment (UE), several algorithms have been proposed to select beams and UEs for each AP in mmWave networks [9], [10], [11], [12], [13], [14], [15], [16], [17]. In [9], [10], [11], mmWave networks with a single AP and a single UE are considered and algorithms for beam selection at the AP for the UE are designed such that the connection remains robust to blockage and UE mobility.…”

Section: Introductionmentioning

confidence: 99%

“…In [12], mmWave networks with multiple cooperating APs and a single UE are considered and an algorithm is designed to select a beam for each AP to make a robust connection with the mobile UE. In [13], [14], [15], mmWave networks with multiple APs and multiple UEs are considered and algorithms are designed to select a beam and a UE for each AP using the measured received signal strength (RSS) information at each UE corresponding to each beam of every AP in the network. The work in [12], [13], [14], [15] performs beam and UE selection for each AP in two steps.…”

Section: Introductionmentioning

confidence: 99%

“…In [13], [14], [15], mmWave networks with multiple APs and multiple UEs are considered and algorithms are designed to select a beam and a UE for each AP using the measured received signal strength (RSS) information at each UE corresponding to each beam of every AP in the network. The work in [12], [13], [14], [15] performs beam and UE selection for each AP in two steps. First, they select mutually exclusive subsets of UEs for different APs.…”

Section: Introductionmentioning

confidence: 99%

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NGUB: Novel Greedy Algorithms for User and Beam Selection in mmWave Networks

Singh,

Sahu,

Thawait

et al. 2023

2023 Fourteenth International Conference on Ubiquitous and Future Networks (ICUFN)

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We study the problem of selecting a user equipment (UE) and a beam for each access point (AP) for concurrent transmissions in a millimeter wave (mmWave) network, such that the sum of weighted rates of UEs is maximized. We prove that this problem is NP-complete. We propose two algorithms-Markov Chain Monte Carlo (MCMC) based and local interaction game (LIG) based UE and beam selection-and prove that both of them asymptotically achieve the optimal solution. Also, we propose two fast greedy algorithms-NGUB1 and NGUB2-for UE and beam selection. Through extensive simulations, we show that our proposed greedy algorithms outperform the most relevant algorithms proposed in prior work and perform close to the asymptotically optimal algorithms.

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Enabling Dense Spatial Reuse in mmWave Networks

Cited by 4 publications

References 4 publications

Channel Estimation for Reconfigurable Intelligent Surface-Aided mmWave Communications

Channel Estimation for Reconfigurable Intelligent Surface-Aided mmWave Communications

COded Taking And Giving (COTAG): Enhancing Transport Layer Performance over Indoor Millimeter Wave Access Networks

NGUB: Novel Greedy Algorithms for User and Beam Selection in mmWave Networks

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