Downlink capacity evaluation of cellular networks with known-interference cancellation
Downlink capacity evaluation of cellular networks with known-interference cancellation
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DOI：
10.1109/jsac.2003.810346
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发表时间：
2003-06-01
影响因子：
16.4
通讯作者：
Huang, H
中科院分区：
文献类型：
--
作者：
Viswanathan, H;Venkatesan, S;Huang, H
最近，具有高斯码本和通过脏纸编码消除已知干扰的多输入多输出 (MIMO) 高斯广播信道的容量区域被证明等于 MIMO 多址信道集合的容量区域的并集。我们使用这个对偶结果来评估在基站有多个天线并且每个终端有多个天线的蜂窝无线网络中可实现的系统容量。展示了速率区域的一些基本属性以及用于确定最佳加权速率和的算法。给出了在速率区域边界上实现给定速率向量的最佳协方差矩阵。然后将这些算法用于模拟研究，以确定通过已知干扰消除对蜂窝系统的潜在容量增强。我们研究了每个用户在每帧中需要恒定数据速率的电路数据场景和在每帧中为用户分配可变速率的分组数据场景，以便最大化长期平均吞吐量。在电路数据的情况下，作为给定速率下服务的活动用户数量的函数的中断概率通过模拟来确定。对于分组数据情况，确定使用比例公平调度算法可以实现的长期平均吞吐量。我们将迫零波束成形技术推广到多个接收天线的情况，并将其用作分组数据吞吐量评估的基准。
Recently, the capacity region of a multiple-input multiple-output (MIMO) Gaussian broadcast channel, with Gaussian codebooks and known-interference cancellation through dirty paper coding, was shown to equal the union of the capacity regions of a collection of MIMO multiple-access channels. We use this duality result to evaluate the system capacity achievable in a cellular wireless network with multiple antennas at the base station and multiple antennas at each terminal. Some fundamental properties of the rate region are exhibited and algorithms for determining the optimal weighted rate sum and. the optimal covariance matrices for achieving a given rate vector on the boundary of the rate region are-presented. These algorithms are then used in a simulation study to determine potential capacity enhancements to a cellular system through known-interference Cancellation, We study both the circuit data scenario in which each user requires a constant data rate in every frame and the packet data scenario in which users can be assigned a variable rate in each frame so as to maximize the long-term average throughput. In the case of circuit data, the outage probability as a function of the number of active users served at a given rate is determined through simulations. For the packet data case, long-term average throughputs that can be achieved using the proportionally fair scheduling algorithm are determined. We generalize the zero forcing beamforming technique to the multiple receive antennas case and use this as the baseline for the packet data throughput evaluation.