• 沒有找到結果。

Conclusions and Future Works

In this thesis, we applied the HARQ and AMC to the NOMA system with SIC

receiver. We investigated a scheduling method and new method of measuring average

throughput for PF scheduling. With the scheduling method, we can use the

information stored in buffer effectively to improve the efficiency of HARQ. The new

PF algorithm can prevent from continuously serving cell edge users and provide more

accurate measurement for average throughput. The new PF algorithm can achieve a

notable gain for either system throughput or cell edge throughput and have better

performance.

In addition, we discussed the influence of aggressiveness for MUST with HARQ.

By allowing higher order MCS for the far UE to make it aggressive, the system

throughput can be improved.

Also, we proposed an algorithm which can adaptively adjust MCS thresholds in

NOMA system. The systems usually affected by fading channel seriously and thus

systems are always designed for the worst-case channel conditions. With the adaptive

threshold adjustment algorithm, the MCS thresholds can adapt to the current channel

condition and get better system throughput. Simulation results show that the algorithm

worked successfully and achieved significant performance gain by adjusting the MCS

thresholds to better value on NOMA system.

Some directions of future works are discussed. In the work of this study, we

assume that the feedback channel between base station and UEs is ideal. Also, we

ignore the correlation between near user and far user to simplify the NOMA system

for AAMC algorithm. We might take these issues into consideration to make this task

more complete.

44

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