The basic starting point is to allocate and adjust the available resources flexibly and dynamically, improve the utilization of wireless spectrum, prevent the network congestion and maintain the signaling load as small as possible when the network business chi hair straightener distribution is uneven or the channel characteristics are ever-changing.It aims to seek the cheap polo shirts methods to improve system capacity and reduce the transmission power by studying different adaptive bits and power allocation algorithms in IEEE802.11n system. Based on the adaptive MIMO-OFDM transmission model, the Water Filling (WF) theorem and the maximization of the harmonic mean signal-to-noise ratio algorithm (HARM) are analyzed and integrated after investigating their application limitations. A novel algorithm called First Water-filling Last HARM (FWLH) is proposed. At the same ralph lauren polo shirts time, another study found that Campello algorithm allocates bits by using the idea of greedy algorithm and its adjustment step is 1, which lead to slower bit allocation and high computational complexity. Then adaptive Lacoste Polo Shirts variable step Campello algorithm is proposed. Finally, the single-bit emerging in the channels is processed.Simulation results show that the system capacity with Lacoste Shirts algorithm is quite close to Water-filling algorithm and superior to HARM algorithm, furthermore, the system BER (Bit Error Ratio) with FWLH algorithm is about 100 times lower than that of with Water-filling algorithm and about 20 times lower than that of with HARM algorithm. However, the improved adaptive variable step Campello algorithm can increase the bits allocation speed and reduce the system computational effort, besides, it can maintain the original performance.
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