C-RAN Zero-Forcing with Imperfect CSI: Analysis and Precode & Quantize Feedback

Niv Arad, Yair Noam

Research output: Contribution to journalArticlepeer-review


Downlink joint transmission by a cluster of remote radio-heads (RRHs) is essential for enhancing throughput in future cellular networks. This method requires global channel state information (CSI) at the processing unit that designs the joint precoder. To this end, extensive CSI must be shared between the RRHs and that unit. This paper proposes two contributions. The first is a new upper bound on the rate loss, which implies a lower bound on the achievable rate for an RRHs-cluster employing joint zero-forcing (ZF) with incomplete CSI with single-user decoding (SUD) at the mobile stations (MSs). The second contribution, which follows insights from the bound, is a new CSI sharing scheme that drastically reduces the significant overhead associated with acquiring global CSI for joint transmission. In a nutshell, each RRH applies a local precoding matrix that creates low-dimensional effective channels that can be quantized more accurately with fewer bits, thereby reducing the overhead of sharing CSI. In addition to the CSI sharing-overhead, this scheme reduces the data rate delivered to each RRH in the cluster.

Original languageEnglish
Pages (from-to)4773-4787
Number of pages15
JournalIEEE Transactions on Wireless Communications
Issue number7
StatePublished - 1 Jul 2023

Bibliographical note

Publisher Copyright:


  • 5G
  • Broadcast channel
  • CoMP
  • beamforming
  • cloud radio-access network (C-RAN)
  • distributed MIMO
  • finite rate feedback
  • joint transmission (JT)
  • lower bound
  • multiple-input multipleoutput (MIMO)
  • softwaredefined- networks (SDN)
  • zeroforcing


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