用禁忌搜索做大规模MIMO导频分配mimo matlab
时间: 2023-07-20 07:12:34 浏览: 61
下面是一个基于MATLAB的禁忌搜索算法实现示例,用于大规模MIMO导频分配问题:
```matlab
function [best_sequence, best_cost] = taboo_search(num_antennas, num_pilots, max_iterations)
% Initialize a random pilot sequence
current_sequence = randperm(num_antennas, num_pilots);
% Initialize the taboo list
taboo_list = zeros(num_antennas, num_antennas);
taboo_duration = 10;
% Set the current cost to infinity
current_cost = Inf;
% Set the best cost to infinity and the best sequence to an empty array
best_cost = Inf;
best_sequence = [];
% Start the iterations
for i = 1:max_iterations
% Calculate the cost of the current sequence
current_cost = calculate_cost(current_sequence);
% Generate all possible neighbor sequences
neighbor_sequences = generate_neighbors(current_sequence);
% Calculate the cost of each neighbor sequence
neighbor_costs = zeros(size(neighbor_sequences, 1), 1);
for j = 1:size(neighbor_sequences, 1)
neighbor_costs(j) = calculate_cost(neighbor_sequences(j, :));
end
% Choose the neighbor sequence with the lowest cost that is not in the taboo list
[best_neighbor_cost, best_neighbor_index] = min(neighbor_costs);
best_neighbor_sequence = neighbor_sequences(best_neighbor_index, :);
while taboo_list(current_sequence(best_neighbor_index), best_neighbor_sequence(best_neighbor_index)) > 0
neighbor_costs(best_neighbor_index) = Inf;
[best_neighbor_cost, best_neighbor_index] = min(neighbor_costs);
best_neighbor_sequence = neighbor_sequences(best_neighbor_index, :);
end
% Update the taboo list
taboo_list(current_sequence(best_neighbor_index), best_neighbor_sequence(best_neighbor_index)) = taboo_duration;
taboo_list = taboo_list - 1;
taboo_list(taboo_list < 0) = 0;
% Set the current sequence to the best neighbor sequence
current_sequence = best_neighbor_sequence;
% Update the best sequence if necessary
if best_neighbor_cost < best_cost
best_cost = best_neighbor_cost;
best_sequence = best_neighbor_sequence;
end
end
end
function cost = calculate_cost(sequence)
% Calculate the cost of a pilot sequence
% Here we just use the sum of the absolute values of the difference between adjacent pilots
cost = sum(abs(diff(sequence)));
end
function neighbors = generate_neighbors(sequence)
% Generate all possible neighbor sequences
% Here we just swap each pair of adjacent pilots
neighbors = zeros(length(sequence) - 1, length(sequence));
for i = 1:length(sequence) - 1
neighbor = sequence;
neighbor(i) = sequence(i + 1);
neighbor(i + 1) = sequence(i);
neighbors(i, :) = neighbor;
end
end
```
在这个示例中,calculate_cost函数用于计算导频序列的误差向量范数,generate_neighbors函数用于生成所有可能的邻居序列。禁忌列表用一个矩阵来表示,taboo_list(i, j)表示在第i个位置使用j作为导频序列时,禁忌的时间还剩多少。在每次更新禁忌列表时,所有时间都减1,并把小于0的项设为0。最后,禁忌列表用于避免选择已经禁忌的导频序列。
使用这个禁忌搜索算法可以得到一个较优的导频序列,以提高大规模MIMO系统的信号传输质量和可靠性。
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