A joint scheduling and millimeter wave hybrid beamforming system with partial side information

Kwon, Girim; Park, Hyuncheol

doi:10.1109/icc.2016.7510955

Cited by 26 publications

(22 citation statements)

References 13 publications

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“…The BS has N t antennas and sends KN s streams simultaneously using N RFt RF chains, where N RFt satisfies KN s ≤ N RFt ≤ N t . If N RFt is equal to N t , the BS performs digital beamformer [13].…”

Section: System Modelmentioning

confidence: 99%

Novel hybrid precoder based on SVD for downlink mmWave massive MU-MIMO systems

Ortega

Sampaio‐Neto

David

2019

2019 IEEE Latin-American Conference on Communications (LATINCOM)

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We propose four hybrid combiner/precoder for downlink mmWave massive MU-MIMO systems.The design of a hybrid combiner/precoder is divided in two parts, analog and digital. The system baseband model shows that the signal processed by the mobile station can be interpreted as a received signal in the presence of colored Gaussian noise, therefore, since the digital part of the combiner and precoder do not have constraints for their generation, their designs can be based on any traditional signal processing that takes into account this kind of noise. To the best of our knowledge, this was not considered by previous works. A more realistic and appropriate design is described in this paper.Also, the approaches adopted in the literature for the designing of the combiner'/precoder' analog parts do not try to avoid or even reduce the inter user/symbol interference, they concentrate on increasing the signal-to-noise ratio (SNR). We propose a simple solution that decreases the interference while maintaining large SNR. In addition, one of the proposed hybrid combiners reaches the maximum value of our objective function according with the Hadamard's inequality. Numerical results illustrate the BER performance improvements resulting from our proposals. In addition, a simple detection approach can be used for data estimation without significant performance loss. Index TermsMassive MIMO, hybrid precoding, hybrid combining, millimeter wave (mmWave), RF chain number limitations, multiuser.

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Section: System Modelmentioning

confidence: 99%

Novel hybrid precoder based on SVD for downlink mmWave massive MU-MIMO systems

Ortega

Sampaio‐Neto

David

2019

2019 IEEE Latin-American Conference on Communications (LATINCOM)

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“…Due to the highly directional transmissions in mmWave communication systems, users from different directions may be well separated using different spatial beams, which is also known as favorable propagation [191]. The design of transmit precoding/beamforming and receive combining for SDMA is generally a mature topic [194], [195], but the special channel estimation and channel characteristics of hybrid systems require some further work on this topic [196], [197].…”

Section: A Multiple-access Technologiesmentioning

confidence: 99%

Millimeter Wave Communications for Future Mobile Networks

Xiao

Mumtaz

Huang

et al. 2017

IEEE J. Select. Areas Commun.

922

530

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Abstract-Millimeter wave (mmWave) communications have recently attracted large research interest, since the huge available bandwidth can potentially lead to rates of multiple Gbps (gigabit per second) per user. Though mmWave can be readily used in stationary scenarios such as indoor hotspots or backhaul, it is challenging to use mmWave in mobile networks, where the transmitting/receiving nodes may be moving, channels may have a complicated structure, and the coordination among multiple nodes is difficult. To fully exploit the high potential rates of mmWave in mobile networks, lots of technical problems must be addressed. This paper presents a comprehensive survey of mmWave communications for future mobile networks (5G and beyond). We first summarize the recent channel measurement campaigns and modeling results. Then, we discuss in detail recent progresses in multiple input multiple output (MIMO) transceiver design for mmWave communications. After that, we provide an overview of the solution for multiple access and backhauling, followed by analysis of coverage and connectivity. Finally, the progresses in the standardization and deployment of mmWave for mobile networks are discussed.

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“…Therefore, a complete scheduling model for future mmWave picocellular systems with IAB RNs should feature both multi-hop and MU-MIMO, and optimize the entire system treated as a mesh multi-hop network comprising wired-backhaul BSs, IAB RNs, and User Equipment (UE) [9], [10], and where simultaneous transmissions and receptions are possible. Unfortunately, most models in the literature considered either single-hop MU-MIMO [6]- [8], [11] or multi-hop omnidirectional singleantenna systems [12]- [16]. The former model can represent conventional cellular networks with single-hop topologies.…”

Section: Introductionmentioning

confidence: 99%

Optimal Link Scheduling in Millimeter Wave Multi-Hop Networks With MU-MIMO Radios

Gómez-Cuba

Zorzi

2020

IEEE Trans. Wireless Commun.

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This paper studies the maximum throughput achievable with optimal scheduling in multi-hop mmWave picocellular networks with Multi-user Multiple-Input Multiple-Output (MU-MIMO) radios. MU-MIMO enables simultaneous transmission to multiple receivers (Space Division Multiplexing) and simultaneous reception from multiple transmitters (Space Division Multiple Access). The main contribution is the extension to MU-MIMO of the Network Utility Maximization (NUM) scheduling framework for multi-hop networks. We generalize to MU-MIMO the classic proof that Maximum Back Pressure (MBP) scheduling is NUM optimal. MBP requires the solution of an optimization that becomes harder with MU-MIMO radios. In prior models with one-to-one transmission and reception, each valid schedule was a matching over a graph. However, with MU-MIMO each valid schedule is, instead, a Directed Bipartite SubGraph (DBSG). In the general case this prevents finding efficient algorithms to solve the scheduler. We make MU-MIMO MBP scheduling tractable by assuming fixed power allocation, so the optimal scheduler is the Maximum Weighted DBSG. The MWDBSG problem can be solved using standard Mixed Integer Linear Programing. We simulate multi-hop mmWave picocellular networks and show that a MU-MIMO MBP scheduler enables a 160% increase in network throughput versus the classic one-to-one MBP scheduler, while fair rate allocation mechanisms are used in both cases.

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A joint scheduling and millimeter wave hybrid beamforming system with partial side information

Cited by 26 publications

References 13 publications

Novel hybrid precoder based on SVD for downlink mmWave massive MU-MIMO systems

Novel hybrid precoder based on SVD for downlink mmWave massive MU-MIMO systems

Millimeter Wave Communications for Future Mobile Networks

Optimal Link Scheduling in Millimeter Wave Multi-Hop Networks With MU-MIMO Radios

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