On the Performance of Beam Allocation Based Multi-User Massive MIMO Systems

Junyuan Wang, Yuan Kai, Huiling Zhu

Research output: Chapter in Book/Report/Conference proceedingConference proceeding (ISBN)

Abstract

Moving to millimeter wave (mmWave) frequencies and deploying massive multiple input multiple output (MIMO)antenna arrays have shown great potential of supporting highdata-rate communications in the fifth-generation (5G) and beyond wireless networks, thanks to the availability of huge amounts of mmWave frequency bandwidth and massive numbers of narrow and high gain beams. A number of massive MIMObeamforming techniques have been proposed, among which the fixed-beam scheme has attracted considerable interests from both academia and industry due to its simplicity and requirement ofa a small number of radio frequency (RF) chains compared to the number of base station (BS) antennas. Moreover, a beam allocation based pure analogue fixed-beam system requires much lower complexity and less signalling overhead than the hybrid beamforming based fixed-beam system, which can, therefore, be easily implemented in the practical systems. In this paper, the sum data rate of beam allocation based multi-user massive MIMOsystems is studied where a near-optimal low complexity beam allocation algorithm is adopted. Simulation results show that our derived average sum data rate serves as a good approximation of the simulation results.
Original languageEnglish
Title of host publicationNot Known
PublisherIEEE
Publication statusAccepted/In press - 4 Feb 2019

Fingerprint

Millimeter waves
Beamforming
Antenna arrays
Base stations
Wireless networks
Availability
Antennas
Bandwidth
Communication
Industry

Keywords

  • Sum data rate analysis
  • downlink multi-usersystem
  • massive multiple-input-multiple-output (MIMO)
  • beamallocation

Cite this

Wang, J., Kai, Y., & Zhu, H. (Accepted/In press). On the Performance of Beam Allocation Based Multi-User Massive MIMO Systems. In Not Known IEEE.
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title = "On the Performance of Beam Allocation Based Multi-User Massive MIMO Systems",
abstract = "Moving to millimeter wave (mmWave) frequencies and deploying massive multiple input multiple output (MIMO)antenna arrays have shown great potential of supporting highdata-rate communications in the fifth-generation (5G) and beyond wireless networks, thanks to the availability of huge amounts of mmWave frequency bandwidth and massive numbers of narrow and high gain beams. A number of massive MIMObeamforming techniques have been proposed, among which the fixed-beam scheme has attracted considerable interests from both academia and industry due to its simplicity and requirement ofa a small number of radio frequency (RF) chains compared to the number of base station (BS) antennas. Moreover, a beam allocation based pure analogue fixed-beam system requires much lower complexity and less signalling overhead than the hybrid beamforming based fixed-beam system, which can, therefore, be easily implemented in the practical systems. In this paper, the sum data rate of beam allocation based multi-user massive MIMOsystems is studied where a near-optimal low complexity beam allocation algorithm is adopted. Simulation results show that our derived average sum data rate serves as a good approximation of the simulation results.",
keywords = "Sum data rate analysis, downlink multi-usersystem, massive multiple-input-multiple-output (MIMO), beamallocation",
author = "Junyuan Wang and Yuan Kai and Huiling Zhu",
year = "2019",
month = "2",
day = "4",
language = "English",
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publisher = "IEEE",

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On the Performance of Beam Allocation Based Multi-User Massive MIMO Systems. / Wang, Junyuan; Kai, Yuan; Zhu, Huiling.

Not Known. IEEE, 2019.

Research output: Chapter in Book/Report/Conference proceedingConference proceeding (ISBN)

TY - GEN

T1 - On the Performance of Beam Allocation Based Multi-User Massive MIMO Systems

AU - Wang, Junyuan

AU - Kai, Yuan

AU - Zhu, Huiling

PY - 2019/2/4

Y1 - 2019/2/4

N2 - Moving to millimeter wave (mmWave) frequencies and deploying massive multiple input multiple output (MIMO)antenna arrays have shown great potential of supporting highdata-rate communications in the fifth-generation (5G) and beyond wireless networks, thanks to the availability of huge amounts of mmWave frequency bandwidth and massive numbers of narrow and high gain beams. A number of massive MIMObeamforming techniques have been proposed, among which the fixed-beam scheme has attracted considerable interests from both academia and industry due to its simplicity and requirement ofa a small number of radio frequency (RF) chains compared to the number of base station (BS) antennas. Moreover, a beam allocation based pure analogue fixed-beam system requires much lower complexity and less signalling overhead than the hybrid beamforming based fixed-beam system, which can, therefore, be easily implemented in the practical systems. In this paper, the sum data rate of beam allocation based multi-user massive MIMOsystems is studied where a near-optimal low complexity beam allocation algorithm is adopted. Simulation results show that our derived average sum data rate serves as a good approximation of the simulation results.

AB - Moving to millimeter wave (mmWave) frequencies and deploying massive multiple input multiple output (MIMO)antenna arrays have shown great potential of supporting highdata-rate communications in the fifth-generation (5G) and beyond wireless networks, thanks to the availability of huge amounts of mmWave frequency bandwidth and massive numbers of narrow and high gain beams. A number of massive MIMObeamforming techniques have been proposed, among which the fixed-beam scheme has attracted considerable interests from both academia and industry due to its simplicity and requirement ofa a small number of radio frequency (RF) chains compared to the number of base station (BS) antennas. Moreover, a beam allocation based pure analogue fixed-beam system requires much lower complexity and less signalling overhead than the hybrid beamforming based fixed-beam system, which can, therefore, be easily implemented in the practical systems. In this paper, the sum data rate of beam allocation based multi-user massive MIMOsystems is studied where a near-optimal low complexity beam allocation algorithm is adopted. Simulation results show that our derived average sum data rate serves as a good approximation of the simulation results.

KW - Sum data rate analysis

KW - downlink multi-usersystem

KW - massive multiple-input-multiple-output (MIMO)

KW - beamallocation

UR - https://icc2019.ieee-icc.org/

M3 - Conference proceeding (ISBN)

BT - Not Known

PB - IEEE

ER -