A base station grouping method and system
A grouping method and base station technology, applied in electrical components, wireless communication, network planning, etc., can solve problems such as high cost and waste of channel information, and achieve the effects of reducing complexity, avoiding waste, and improving grouping efficiency.
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Embodiment 1
[0056] The present invention is described below with a specific embodiment, but the protection scope of the present invention is not limited. Let the total number of base stations be B, refer to figure 2 , the method of this embodiment includes:
[0057] 101: Obtain a grouping threshold V and an overlapping threshold N, and obtain large-scale channel coefficients between all base stations and users.
[0058] 102: Construct a flag variable array idxFlag with a size of B×1, each element of the array corresponds to a base station, initialize all elements of the array to N+1, and each element of the array represents how much the base station can currently be group contains.
[0059] 103: Construct an array Cs with a size of B×(N+1), in which each row corresponds to a base station, and each column corresponds to a possible group. Since the overlap size is N, each base station may belong to N+1 different groups. This array is used to store the packet capacity values calculate...
Embodiment 2
[0071] suppose in image 3 In the case of the distribution of base stations shown, the number of cells is 24, and the cell radius is 2km (km means kilometers, kilometers). During the simulation process, one user will be generated at a random position in each cell, and the base stations are grouped using the above method , and calculate the attainable rate of the system. The group size is set to 4 and the overlap size is set to 2. Channels are generated using the following formula:
[0072]
[0073] Among them, h ij Represents the channel coefficient between base station i and user j; a ij is the Rayleigh fading coefficient between base station i and user j; G(d ij ) is the large-scale fading coefficient between base station i and user j; d ij is the distance between base station i and user j; β ij is the shadow fading between base station i and user j, which obeys a Gaussian distribution with a mean of 0dB and a variance of 8dB. The large-scale fading coefficient ado...
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