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Algorithm for computing the optimal transmission powers in a synchronous queued RFID network

License: MIT License

MATLAB 88.86% M 11.14%
readers stationary-policies rfid rfid-hardware rfid-reader matlab optimization annealing

rfidpoweroptimization's Introduction

Optimal power stationary policies for synchronous queued RFID networks

Algorithm for computing the optimal power policy in a synchronous queued RFID network (see paper "Optimal power stationary policies for synchronous queued RFID networks")

This software computes the optimal transmission powers for a network of RFID readers where:

  1. RFID cells produce mutual interferences, defined through a loss matrix L, which indicates at element L_jj' the path-loss between readers j and j', or the reader-tags-reader path-loss in the diagonal elements
  2. Readers operate synchronously, in timeslots of duration t
  3. The goal is obtaining a stationary policy defining a probability distribution α to randomly draw, at the beggining of each timeslot, the transmission power configuration to be used in the netwoek.

The optimizer obtains a matrix P, where each row indicates a network transmission power configuration (the ith element of the row is the transmission power to be set for the ith reader), and the probability distribution α to be used.

Examples

Simple usage, small network with m=5

load example1.mat % Load network setup for m=5 readers
L, conf % Show configuration
L = L + 30 - 30*eye(5) % Add transmit mask DRE additional gap
amin = [0.2 0.2 0 0.2 0.2]; % Minimal traffic per reader
v = [1 1 1 1 1]; % Readers to optimize
sol = anneal([],L,amin,v,conf,0) % Run optimizer indepent power policy
solonoff = anneal([],L,amin,v,conf,1) % Run optimizer onoff power policy
sol = anneal(solonoff,L,amin,v,conf,0) % Run optimizer indepent power policy starting with solonoff solution

Simple usage, large network with m=50

load example2.mat % Load network setup for m=50 readers
L, conf % Show configuration
L = L + 30 - 30*eye(50) % Add transmit mask DRE additional gap
amin = ones(1,50)/70; % Minimal traffic per reader
v = ones(1,50); % Readers to optimize
sol = anneal([],L,amin,v,conf,0) % Run optimizer indepent power policy
sol = anneal([],L,amin,v,conf,1) % Run optimizer onoff power policy

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