A Genetic Algorithm-based Beamforming Approach for Delay-constrained Networks
Paper in proceedings, 2017

In this paper, we study the performance of initial access beamforming schemes in the cases with large but finite number of transmit antennas and users. Particularly, we develop an efficient beamforming scheme using genetic algorithms. Moreover, taking the millimeter wave communication characteristics and different metrics into account, we investigate the effect of various parameters such as number of antennas/receivers, beamforming resolution as well as hardware impairments on the system performance. As shown, our proposed algorithm is generic in the sense that it can be effectively applied with different channel models, metrics and beamforming methods. Also, our results indicate that the proposed scheme can reach (almost) the same end-to-end throughput as the exhaustive search-based optimal approach with considerably less implementation complexity.

Author

Hao Guo

Chalmers, Signals and Systems, Kommunikationssystem, informationsteori och antenner, Communication Systems

Behrooz Makki

Chalmers, Signals and Systems, Kommunikationssystem, informationsteori och antenner, Communication Systems

Tommy Svensson

Chalmers, Signals and Systems, Kommunikationssystem, informationsteori och antenner, Communication Systems

15th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks, WiOpt 2017, Paris, France, 15-19 May 2017

Article no. 7959905-

Areas of Advance

Information and Communication Technology

Subject Categories

Telecommunications

Communication Systems

Signal Processing

DOI

10.23919/WIOPT.2017.7959905

More information

Latest update

8/24/2018