Design and Analysis of Novel Precoding Scheme for LSAS Using Power Allocation

Saransh Malik, Sangmi Moon, Bora Kim, Cheolwoo You, Huaping Liu, Jeong Ho Kim, Jihyung Kim, Intae Hwang

Research output: Contribution to journalArticlepeer-review


Massive MIMO systems (also known as “large-scale antenna system” and “full-dimension MIMO”) significantly reduce air interface latency by using a large excess of service antennas over active terminals and time-division duplex operation. We consider the downlink of a time-division duplexing multicell multiuser MIMO system in which the base transceiver stations are equipped with a very large number of antennas. Assuming channel estimation through uplink pilots, arbitrary antenna correlations, and user distributions, we derive approximations of achievable rates with linear precoding techniques—namely, zero forcing, matched filtering, eigen-beamforming (EBF), and regularized zero-forcing (RZF). The approximations are tight in the large system limit with an infinitely large number of antennas and user terminals, but they match our simulations for realistic system dimensions. We further show that a simple EBF precoding scheme can achieve the same performance as RZF with one order of magnitude fewer antennas in both uncorrelated and correlated fading channels. Our simulation results show that our proposed precoding scheme is better than the conventional scheme. Moreover, we have used two channel environments for further analysis of our algorithm—long-term evolution advanced and millimeter wave mobile broadband channels.

Original languageEnglish
Pages (from-to)811-828
Number of pages18
JournalWireless Personal Communications
Issue number2
StatePublished - 1 Nov 2016

Bibliographical note

Funding Information:
This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (NRF-2013R1A1A2007779). This work was supported by the ICT R&D program of MSIP/IITP. [14-000-04-001, Development of 5G Mobile Communication Technologies for Hyper-connected Smart Services]. This work was supported by the Human Resource Training Program for Regional Innovation and Creativity through the Ministry of Education and National Research Foundation of Korea (NRF-2014H1C1A1066568).

Publisher Copyright:
© 2016, Springer Science+Business Media New York.


  • Eigen-beamforming
  • LSAS
  • LTE-A
  • MF
  • MMB
  • Power allocation
  • RZF
  • ZF


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