A Joint Precoding Framework for Wideband Reconfigurable Intelligent Surface-Aided Cell-Free Network

By Zijian Zhang, Linglong Dai. IEEE Transactions on Signal Processing, 2020

356 citations recorded by the source corpus.

Thanks to the strong ability against the inter-cell interference, cell-free network is considered as a promising technique to improve network capacity. However, further capacity improvement requires to deploy more base stations (BSs) with high cost and power consumption. To address this issue, inspired by the recently developed reconfigurable intelligent surface (RIS) technique, we propose the concept of RIS-aided cell-free network to improve the capacity with low cost and power consumption. The key idea is to replace some of the required BSs by low-cost and energy-efficient RISs. Then, in a wideband RIS-aided cell-free network, we formulate the problem of joint precoding design at BSs and RISs to maximize the network capacity. Due to the non-convexity and high complexity of the formulated problem, we develop an alternating optimization framework to solve this challenging problem. In particular, we decouple this problem via fractional programming, and solve the subproblems alternatively. Note that most of the scenarios considered in existing works are special cases of the general scenario studied in this paper, and the proposed joint precoding framework can serve as a general solution to maximize the capacity in most existing RIS-aided scenarios. Finally, simulation results demonstrate that, compared with the conventional cell-free network, the network capacity under the proposed scheme can be improved significantly.

Subfields: Aerospace Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/4f8e5505286899f38e4e02c33f5ee1709541152c

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Aerospace Engineering

  1. M. Di Renzo
  2. Merouane Debbah
  3. Mohamed-Slim Alouini
  4. Chau Yuen
  5. Robert Schober
  6. Linglong Dai
  7. Rui Zhang
  8. J. de Rosny

In Electrical and Electronic Engineering

  1. Merouane Debbah
  2. M. Di Renzo
  3. Mohamed-Slim Alouini
  4. Chau Yuen
  5. Robert Schober
  6. Rui Zhang
  7. Linglong Dai
  8. Alessio Zappone

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