Study On Adaptive Resource Allocation Strategies In Multiuser MIMO-OFDM System

To satisfy the high rate data transmission and wireless multimedia, a method of adaptive modulation modes, subcarrier and power allocation is proposed for Multiple Input Multiple Output (MIMO) with Orthogonal Frequency Division Multiplexing (OFDM) systems. For Multiuser MIMO-OFDM, there are multiple-user share the channel synchronization, and they are different from the channel state information, quality of service, and communication operation kinds. In order to increase the channel capacity and satisfy the user needs, we must to propose an algorithm that will distribute the subchannel, the bits and power to each user.The main work of this paper is as follows:First, a novel power allocation algorithm for MIMO-OFDM system with variable BER is proposed. Using the Waterfilling algorithm, the BER's upper bound in each subchannel is calculated, which is based on the channel state, then the power and bit can be allocated according to it. The theoretic analysis and simulation results show that the spectral efficiency is greater than the algorithm with the fixed BER.Second, we propose adaptive resource allocation strategies with is according to the Margin adaptive principle, and introduce the implement process and the algorithm flow. MA algorithm is aim to given to users with larger relative bit requirement and to subcarriers with higher utilization efficiency, and uses one dimension approach algorithm to allocate the bits and power.Third, we propose adaptive resource allocation strategies with is according to the Rate adaptive principle, and introduce the implement process and the algorithm flow. RA algorithm uses the Waterfilling algorithm, under the multiple user single waterlevel, the adjust gene has been introduced into, with the BER's upper bound and the channel state information, the power and bit can be allocated according to that.