Joint dynamic pilot and data power allocation method for time division duplex large-scale MIMO systems

A technology of data power and pilot power, applied in power management, transmission systems, radio transmission systems, etc., can solve problems such as pilot pollution and imperfect channel estimation

Active Publication Date: 2019-01-04
BEIJING UNIV OF TECH
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Problems solved by technology

However, in multi-cell time-division duplex massive MIMO systems with high multiplexing, pilot pollution caused by non-orthogonal uplink pilot signals in adjacent cells leading to imperfect channel estimation becomes the main limitation of high system performance factor

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  • Joint dynamic pilot and data power allocation method for time division duplex large-scale MIMO systems
  • Joint dynamic pilot and data power allocation method for time division duplex large-scale MIMO systems
  • Joint dynamic pilot and data power allocation method for time division duplex large-scale MIMO systems

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Embodiment Construction

[0033] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0034] Such as figure 1 As shown, the present invention provides a dynamic power allocation scheme based on massive MIMO technology, comprising the following steps:

[0035] Step 1. Massive MIMO system and channel model

[0036] Consider a multicellular massive MIMO system consisting of L cells, where each BS equipped with a large number of antennas N serves K single-antenna users. All BSs and users should be perfectly synchronized and operate a TDD protocol with common frequency reuse, where the uplink pilots of users within each cell are mutually orthogonal and reused from one cell to another. the s k =[s k1 ,s k2 ,L,s kτ ] is a pilot sequence of length t, where t>K, k=1, L, K satisfy and k≠k′, therefore, at the tth time slot, the signal matrix received by base station j (j=1, L, L) is Can be written as the following formula:

[0037] ...

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Abstract

A joint dynamic pilot and data power allocation method for time division duplex large-scale MIMO systems belongs to the technical field of time division duplex large-scale MIMO, and is provided to adaptively reduce pilot pollution and balance mutual interference. Because the real-time channel state information before pilot is unknown, the Gauss-Markov process of a time-dependent channel is used, and a Kalman filter is used not only to filter pilot pollution, but also to provide a priori estimate. Then, the deterministic approximation of rate is derived as a function of prior channel estimationand prior estimation error, and rate maximization for maximum-minimization is formulated. In order to solve the optimization of pilot power and data power as well as the coupling between users, an iterative alternation rate optimization algorithm consisting of two sub-problems is presented, and successive convex approximation (SCA) and relaxation variables are introduced. The numerical results ofsimulation confirm the improvement rate provided by the scheme.

Description

technical field [0001] The invention belongs to the technical field of time division duplex large-scale MIMO. In order to alleviate the influence of pilot pollution and data interference on user transmission performance, a joint dynamic optimization method of user pilot power and data power is given, and it is decomposed into two sub-problems The iterative alternating optimal algorithm of is solved by introducing continuous convex approximation (SCA) method and slack variables respectively. technical background [0002] Massive MIMO is widely regarded as a key technology in wireless communication, which provides high spectral efficiency and high energy efficiency by using hundreds or even more antennas. A lot of current research work is carried out for massive MIMO in TDD mode, which estimates the channel response on the uplink, which can be used for uplink receive combining and downlink transmit precoding based on channel reciprocity. Therefore, no feedback is required and...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04W52/26H04W52/32H04B7/0426H04W52/24
CPCH04B7/0426H04W52/267H04W52/325H04W52/243
Inventor 杨睿哲林波张延华司鹏搏孙恩昌
Owner BEIJING UNIV OF TECH
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