Adaptive Hybrid Beamforming with Massive Phased Arrays in Macro-Cellular Networks

Shahram Shahsavari, S. Amir Hosseini, Chris Ng, Elza Erkip

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Hybrid beamforming via large antenna arrays has a great potential for increasing data rate in cellular networks by delivering multiple data streams simultaneously. In this paper, several beamforming design algorithms are proposed based on long-term channel information in macro-cellular environments where the base station is equipped with a massive phased array under per-antenna power constraint. Using an adaptive scheme, beamforming vectors are updated whenever the long-term channel information changes. First, the problem is studied when the base station has a single RF chain (single-beam scenario). Semi-definite relaxation (SDR) with randomization is used to solve the problem. As a second approach, a low-complexity heuristic beam composition algorithm is proposed which performs very close to the upper-bound obtained by SDR. Next, the problem is studied for a generic number of RF chains (multi-beam scenario) where the Gradient Projection method is used to obtain local solutions. Numerical results reveal that using massive antenna arrays with optimized beamforming vectors can lead to five-fold network throughput improvement over systems with conventional antennas.

Original languageEnglish (US)
Title of host publicationIEEE 5G World Forum, 5GWF 2018 - Conference Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages221-226
Number of pages6
ISBN (Electronic)9781538649824
DOIs
StatePublished - Oct 31 2018
Event1st IEEE 5G World Forum, 5GWF 2018 - Santa Clara, United States
Duration: Jul 9 2018Jul 11 2018

Other

Other1st IEEE 5G World Forum, 5GWF 2018
CountryUnited States
CitySanta Clara
Period7/9/187/11/18

Fingerprint

Phased Array
Beamforming
Cellular Networks
Macros
Semidefinite Relaxation
Antenna Arrays
Antenna arrays
Base stations
Antenna
Antennas
Gradient Projection Method
Scenarios
Antenna phased arrays
Local Solution
Algorithm Design
Randomisation
Data Streams
Low Complexity
Fold
Throughput

ASJC Scopus subject areas

  • Hardware and Architecture
  • Computer Networks and Communications
  • Control and Optimization

Cite this

Shahsavari, S., Hosseini, S. A., Ng, C., & Erkip, E. (2018). Adaptive Hybrid Beamforming with Massive Phased Arrays in Macro-Cellular Networks. In IEEE 5G World Forum, 5GWF 2018 - Conference Proceedings (pp. 221-226). [8516954] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/5GWF.2018.8516954

Adaptive Hybrid Beamforming with Massive Phased Arrays in Macro-Cellular Networks. / Shahsavari, Shahram; Hosseini, S. Amir; Ng, Chris; Erkip, Elza.

IEEE 5G World Forum, 5GWF 2018 - Conference Proceedings. Institute of Electrical and Electronics Engineers Inc., 2018. p. 221-226 8516954.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Shahsavari, S, Hosseini, SA, Ng, C & Erkip, E 2018, Adaptive Hybrid Beamforming with Massive Phased Arrays in Macro-Cellular Networks. in IEEE 5G World Forum, 5GWF 2018 - Conference Proceedings., 8516954, Institute of Electrical and Electronics Engineers Inc., pp. 221-226, 1st IEEE 5G World Forum, 5GWF 2018, Santa Clara, United States, 7/9/18. https://doi.org/10.1109/5GWF.2018.8516954
Shahsavari S, Hosseini SA, Ng C, Erkip E. Adaptive Hybrid Beamforming with Massive Phased Arrays in Macro-Cellular Networks. In IEEE 5G World Forum, 5GWF 2018 - Conference Proceedings. Institute of Electrical and Electronics Engineers Inc. 2018. p. 221-226. 8516954 https://doi.org/10.1109/5GWF.2018.8516954
Shahsavari, Shahram ; Hosseini, S. Amir ; Ng, Chris ; Erkip, Elza. / Adaptive Hybrid Beamforming with Massive Phased Arrays in Macro-Cellular Networks. IEEE 5G World Forum, 5GWF 2018 - Conference Proceedings. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 221-226
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