多小区多输入多输出正交空分复用系统中低复杂度用户选择算法

针对抑制协作小区外干扰的多小区多输入多输出(MIMO)正交空分复用系统,提出了一种低复杂度的用户选择算法.该方法通过贪心搜索迭代选择用户,在用户选择的每一步中选择使得小区平均系统容量增幅最大的用户,并自适应地调整服务用户数而使小区平均系统容量最大化.仿真结果表明,在相同信噪比和干扰噪声比条件下,与抑制协作小区外干扰的多小区MIMO块对角化系统用户选择算法相比,该算法提高了小区平均系统容量,且增加了同时服务的用户数.

A Low complexity User Selection Algorithm for Multicell MIMO Employing Orthogonal Space Division Multiplexing

A low complexity user selection algorithm was proposed for multicell multiple input multiple output (MIMO) system employing orthogonal space division multiplexing (OSDM) with out of cooperative cells interference suppression. The algorithm iteratively selects users through greedy search. In each user selection step, the user who contributes most to the average cell capacity is added to the selected user set, and the number of activated users is adaptively adjusted to maximize the average cell capacity. The simulation results show that compared with the user selection algorithm in MIMO system employing block diagonalization (BD) with out of cooperative cells interference suppression, the algorithm proposed can achieve higher average cell capacity, and support more users with the same signal to noise raitio (SNR) and interference to noise raitio (INR).