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)peer-review

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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
Publication statusAccepted/In press - 4 Feb 2019


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


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