A Dynamic Power Allocation Method for Multi-Relay System Based on Nonlinear Energy Harvesting Model

A technology of nonlinear energy and distribution method, which is applied in the field of dynamic power distribution of multi-relay systems based on nonlinear energy collection model, can solve problems such as waste of relay resources, reduce power consumption, improve application value, and improve interrupt performance Effect

CN108521666BActive Publication Date: 2020-06-19SOUTH CHINA UNIV OF TECH
5 Cites 0 Cited by

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Publication Date
2020-06-19

Smart Images

  • Figure 1
    Figure 1
  • Figure 2
    Figure 2
  • Figure 3
    Figure 3
Patent Text Reader

Abstract

The invention discloses a dynamic power allocation method for a multi-relay system based on a nonlinear energy acquisition model, aiming at minimizing the interruption probability of a target node ofthe system, joint optimization is performed on the power division coefficient of each relay node, working under the nonlinear energy acquisition model, and the transmission power, so as to seek an optimal power allocation scheme. The method comprises the following steps: according to channel state information, a signal formula received by each relay node in a first time slot is obtained; power distribution with a proportion of formula is carried out on the received signal of the kth relay node according to two modules of energy acquisition and information reception; the acquired energy formulaof the kth relay node is obtained according to the nonlinear energy acquisition model; the signal formula is transmitted to the target node according to an amplifying-forwarding protocol, so as to obtain a signal formula received by the target node in a second time slot; the instantaneous channel capacity formula of each link is calculated; the system joint outage probability formula is obtainedby calculating the instantaneous channel capacity by using a maximum ratio combining method; a final objective function to be optimized is obtained through equivalent deformation processing once; andthe optimal solution formula is obtained through calculation.
Need to check novelty before this filing date? Find Prior Art

Description

technical field

[0001] The invention relates to the technical field of wireless communication, in particular to a method for dynamic power distribution of a multi-relay system based on a nonlinear energy collection model. Background technique

[0002] Multiple-input multiple-output (MIMO) technology is one of the important ways to achieve high data transmission and improve system capacity in wireless fading environment, but it is difficult to apply this technology on small terminal nodes due to the limitation of transmit power and node size. Cooperative communication is a virtual MIMO technology. Its basic idea is to use relay technology and the broadcast characteristics of radio waves to realize antenna sharing among users, so that terminals can also obtain diversity gain under the condition of a single antenna.

[0003] Traditional relay technology faces the problem of limited battery capacity of relay nodes, and it is usually necessary to periodically charge the battery o...

Examples

Embodiment

[0030] For the specific calculation logic flow of the multi-relay system dynamic power allocation method based on the nonlinear energy harvesting model disclosed in the present invention, see figure 1 , see the network model figure 2 , the power allocation method used see image 3 .

[0031] In this embodiment, the specific parameters are set as follows:

[0032] Set the number of relays K=2, that is, the two-hop multi-relay wireless cooperative network model in the present invention is composed of 1 source node, 2 relay nodes and 1 destination node, denoted as s, r respectively k (1≤k≤2) and d. The transmit power of the source node s is set to the rated value P s (i.e. P s =48dBm). and represent source node s and relay node r respectively k between and the relay node r k The channel coefficient between the destination node d, this embodiment considers the situation that the channel experiences both small-scale Rayleigh fading and large-scale path loss, namely wh...