Research On Proportional Fairness Allocation Of Wlan With Adptive Rate

Adaptive rate and resources allocation are hot spots in the field of wireless network.With the increase of users number in wireless network, because of the limitation ofchannel, the throughout and fairness are affected. On the one hand, to get the optimalthroughput, we must choose the adaptive rate for every data. On the other hand, in order tosolve the problem of competition in all users, we muse ensure that each user has equalchance to access the channels.Firstly, we analyze the existing paper about adaptive rate, and then an advancedalgorithm is proposed.In the new algorithm, we introduce bit error rate (BER) threshold,and ensure that only when the BER in threshold the algorithm can go to next step.The newone reduces the probability of transmission failure and retransmission.Different from theprevious ones, we have no choice the minimum rate as the initial but chose theintermediate value in the ranking table, and using binary search to get the next rates.Whenthe number of date is big enough, the algorithm can reduce the search time in theory.Secondly, we introduce fuzzy synthetic evaluation (FSE) to improve the proportionalfairness (PF) algorithm on resources allocation, and get FSE-based PF algorithm(FSE-PF).PF is mainly based on the message of channel and mathematical model forresources allocation, and in the new algorithm we take the users’ needs into consider, inanother word, PF-FSE allows the users’ information affects the allocation result. So, weenhance the fairness from the users’ and channels’ perspective.Finally, we simulate the two algorithms with MATLAB. We simulate the adaptiverate algorithm at first and get the adaptive rates. And then we simulate the PF-FSEalgorithm, in this step we use the rate get before.