Multiple-Input Multiple-Output Non-Orthogonal Multiple Access (MIMO-NOMA) is considered a promising multiple access technology in fifth generation (5G) networks, which can improve system capacity and spectral efficiency. In this paper, we proposed two methods of user grouping and proposed a dynamic power allocation solution for MIMO-NOMA system. Then we proposed an algorithm to maximize energy harvest for MIMO-NOMA system by integrating Simultaneous Wireless Information and Power Transfer (SWIPT), known as maximizing energy harvesting. Specifically, we added a power splitter at the receiver and found the optimal power splitting factor for each user. The harvested power of the user is maximized under the premise of satisfying the minimum communication rate. The simulation results show that the proposed method is effective.
A reader should identify tags quickly and accurately, so an anti-collision algorithm is an important part in a RFID system. Q-Algorithm is a hot topic in anti-collision algorithms. In EPC Global Class-1 Gen-2, parameter Q is adopted to adjust the frame sizes dynamically; in ISO/IEC 18000-6 Type C, Q-Algorithm with a parameter C makes reduction of equipment loss by lessening adjustments of Q, but it compromises to the system efficiency. In this paper, a Multidimensional Q-Selection with Random Tree algorithm (MQRT) is proposed. It is a hybrid method of Q-Algorithm and deterministic algorithm and can lessen unnecessary adjustments of Q and raise system efficiency. The simulation results show that this algorithm can achieve some improved performances than other previous algorithms.
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