Cellular network energy efficiency optimization method based on relay cooperation
A technology of energy efficiency and optimization methods, applied in network planning, energy consumption reduction, advanced technology, etc., can solve problems such as insufficient consideration of performance improvement
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Embodiment 1
[0104] A method for optimizing energy efficiency of a cellular network based on relay cooperation, comprising the following steps:
[0105] Step 1: build system model;
[0106] The present invention is aimed at a special application scene, comes from practical application, and the scene setting is meticulous and reasonable, and has practical guiding significance. The system structure of OFDMA cells with multiple relays and multiple users is as follows: figure 1 As shown, the radius of the cell is set as R, and the cell is approximated as a circle for the convenience of analyzing the problem. The base station is fixed at the center of the circle, and M relays are evenly distributed on the ring with r as the radius (r<R), and each relay node is defined as m, m∈{1,...,M}. Since the users at the edge of the cell are the bottleneck that limits system performance improvement, we only consider users outside the relay ring, and K users are randomly distributed between the relay ring...
Embodiment 2
[0154] On the basis of the first embodiment, the present invention is further improved, in order to reduce the computational complexity, the actual engineering application is used. The solution of the optimization problem P1 in step 3 may adopt a suboptimal method to obtain the power allocation under the direct link, including:
[0155] In this embodiment, with the goal of maximizing energy efficiency, the power p transmitted by the base station to user k through carrier n under the direct link is studied s,k,n (t). It is not difficult to find that formula (6) is a strict Gaussian-concave function. Then for user k, the base station transmit power p of each carrier under the direct link s,k,n (t) satisfy:
[0156] ∂ a k ( t ) ∂ p s , k ,...
Embodiment 3
[0162] On the basis of Embodiment 1 and Embodiment 2, the present invention is further improved, in order to reduce the computational complexity and utilize actual engineering applications. The solution of the optimization problem P1 in step 3 can adopt a suboptimal method to obtain the joint power allocation under the relay link, including:
[0163] Consider the transmit power p of the base station under the relay link s,m.n (t) and relay transmit power p m,k,n The optimal allocation of joint power is a very difficult problem. First, for a trunk link, then u m,n =1. Put formula (6) and formula (7) into formula (9) to get:
[0164] ∂ a k ( t ) ∂ p s , k , n ( t ...
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