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A Joint Beamforming Method for MISO Systems Based on Successive Approximation for Smart Surfaces

A successive approximation and beamforming technology, applied in the transmission system, signal transmission system, electrical signal transmission system and other directions, can solve the problem of not considering the interaction of adjacent cells and so on

Active Publication Date: 2022-05-24
QILU UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] Most previous works focus on single-cell scenarios, without considering the interaction between adjacent cells

Method used

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  • A Joint Beamforming Method for MISO Systems Based on Successive Approximation for Smart Surfaces
  • A Joint Beamforming Method for MISO Systems Based on Successive Approximation for Smart Surfaces
  • A Joint Beamforming Method for MISO Systems Based on Successive Approximation for Smart Surfaces

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Embodiment

[0199] A multi-cell MISO system assisted by an IRS, where the IRS is deployed to assist in multi-cell communication and suppress inter-cell interference, such as figure 1 shown. We assume that K transmitters equipped with multiple antennas communicate with their intended single-antenna receivers. Assume that the number of antennas at each BS is M, and the number of reflecting elements at the IRS is N. make represents the set of BSs or users in the system, Represents a collection of reflective units at the IRS. make represents the channel matrix from BS j to IRS, represents the channel vector from IRS to user k, h k，j indicated from BS j Channel vector to user k. The transmitter of each user k transmits its respective information signal s k sent to its designated receiver. To suppress inter-cell interference, the signal is formed by a beamforming vector pre-encoded. The transmitted signal of each base station k is denoted by x k =w k s k . Suppose each BS k...

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Abstract

The invention discloses a method for joint beamforming of an intelligent surface MISO system based on successive approximation, and belongs to the technical field of multi-cell multi-user MIMO communication. The technical problem to be solved is how to effectively realize the joint beamforming of the system. The method is to jointly optimize the transmission beamforming vector w of the BS under the condition of satisfying the single transmit power constraint of the BS and the reflection constraint of the IRS k and the reflected beamforming vector θ of IRS, based on the AO framework and the successive approximation method to maximize the sum rate of all users in the MISO system.

Description

technical field [0001] The invention relates to the technical field of multi-cell multi-user MIMO communication, in particular to a joint beamforming method for a smart surface MISO system based on successive approximation. Background technique [0002] With the development of emerging applications such as IoT and artificial intelligence, there is a need for a large number of wireless devices with various quality of service (QoS) for fifth-generation (5G) and beyond cellular networks. High data transfer rates, low latency, high energy efficiency, low cost, increased system capacity, and large-scale device connectivity are critical to future communication systems. [0003] To achieve the performance of upcoming communication networks, many wireless communication technologies have been proposed and intensively studied, including ultra-dense networks (UDN), massive multiple-input multiple-output (MIMO), and millimeter-wave (mmWave) communications. Although the above technologi...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04B7/06H03M1/38
CPCH04B7/0617H03M1/38H04B7/04013
Inventor 董安明邱静禹继国韩玉冰李素芳梁风
Owner QILU UNIV OF TECH
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