Power-based criteria for signal reconstruction using 1-bit resolution dacs in massive mu-mimo ofdm downlink

Riki OKAWA, Yukitoshi SANADA

研究成果: Article査読

抄録

The sum rate performance of nonlinier quantized precoding using Gibbs sampling are evaluated in a massive multiuser multipleinput multiple-output (MU-MIMO) system in this paper. Massive MUMIMO is a key technology to handle the growth of data traffic. In a full digital massive MU-MIMO system, however, the resolution of digital-toanalogue converters (DACs) in transmit antenna branches have to be low to yield acceptable power consumption. Thus, a combinational optimization problem is solved for the nonlinier quantized precoding to determine transmit signals from finite alphabets output from low resolution DACs. A conventional optimization criterion minimizes errors between desired signals and received signals at user equipments (UEs). However, the system sum rate may decrease as it increases the transmit power. This paper proposes two optimization criteria that take the transmit power into account in order to maximize the sum rate. Mixed Gibbs sampling is applied to obtain the suboptimal solution of the nonlinear optimization problem. Numerical results obtained through computer simulations show that the two proposed criteria achieve higher sum rates than the conventional criterion. On the other hand, the sum rate criterion achieves the largest sum rate while it leads to less throughputs than the MMSE criterion on approximately 60% of subcarriers.

本文言語English
ページ(範囲)1299-1306
ページ数8
ジャーナルIEICE Transactions on Communications
E104B
10
DOI
出版ステータスPublished - 2021

ASJC Scopus subject areas

  • ソフトウェア
  • コンピュータ ネットワークおよび通信
  • 電子工学および電気工学

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