天线与子载波分配是多用户MIMO - OFDM系统无线资源管理中的重要内容。
Allocation of antennas and subcarriers is one of most important issue for multiuser MIMO-OFDM system radio resource management.
针对全球微波接入互操作性系统中自适应调制编码子载波分配方式，该文提出一种基于多用户分集的资源分配算法。
This paper proposed a resource allocation algorithm based on multiuser diversity based on the subcarrier allocation of adaptive modulation and coding.
研究了基于正交空时分组码的多用户OFDM系统的自适应子载波分配算法。
An adaptive subcarrier allocation algorithm for multiuser OSTBC-OFDM system is discussed in this paper.
采用遗传算法搜索子载波最优分配方案，对多用户正交频分复用多址接入(OFDMA)系统资源分配问题进行了研究，提出了一种多载波比例公平调度算法G - PFS。
Focusing on the resource allocation problem in multi-user orthogonal frequency division multiple access (OFDMA) systems, a multi-carrier proportional fair scheduling algorithm, G-PFS, is proposed.
在目前的OFDM系统中，在任何一个特定的时间，只有一个用户可以在所有副载波上进行传送；利用时分或者频分多路访问机制来支持多个用户。
In current OFDM systems, only a single user can transmit on all of the subcarriers at any given time, and time division or frequency division multiple access is employed to support multiple users.
通过对信道状态信息进行判断，利用贪婪算法将用户子载波分配的比特取整，以实现系统功率最小化。
Then, the bit was rounded by the greedy algorithm with the channel state information judgment, to obtain the minimized transmission power of the system.
针对多用户MIMO- OFDM通信网络，提出了一种基于系统和容量最大化的子载波分配算法。
A subcarrier allocation algorithm is presented for multiuser MIMO-OFDM communication network based on maximum of the system sum capacity.
针对多用户MIMO- OFDM通信网络，提出了一种基于系统和容量最大化的子载波分配算法。
A subcarrier allocation algorithm is presented for multiuser MIMO-OFDM communication network based on maximum of the system sum capacity.
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