In this paper, we employ a user-centric (UC) cell-free massive MIMO (CFmMIMO) network for providing ultra reliable low latency communication (URLLC) when traditional ground users (GUs) coexist with unmanned aerial vehicles (UAVs). We study power control in both the downlink and the uplink when partial zero-forcing (PZF) transmit/receive beamforming and maximum ratio transmission/combining are utilized. We consider optimization problems where the objective is to maximize either the users' sum URLLC rate or the minimum user's URLLC rate. The URLLC rate function is both complicated and nonconvex rendering the considered optimization problems nonconvex. Thus, we propose two approximations for the complicated URLLC rate function and employ successive convex optimization (SCO) to tackle the considered optimization problems. Specifically, we propose the SCO with iterative concave lower bound approximation (SCO-ICBA) and the SCO with iterative interference approximation (SCO-IIA). We provide extensive simulations to evaluate SCO-ICBA and SCO-IIA and compare UC CFmMIMO deployment with traditional colocated massive MIMO (COmMIMO) systems. The obtained results reveal that employing the SCO-IIA scheme to optimize the minimum user's rate for CFmMIMO with MRT in the downlink, and PZF reception in the uplink can provide the best URLLC rate performances.
翻译:在本文中,我们使用一个用户中心(UC)无细胞型大型MIMO(CFMMIMIM)网络,在传统地面用户与无人驾驶飞行器共存时提供超可靠的低潜伏通信(URLLC),在传统地面用户与无人驾驶飞行器共存时提供超可靠的低潜伏通信(URLC)网络;在使用零推进部分(PZF)传输/接收波束成像和最大比例传输/组合时,我们在下链接和上链接两方面研究动力控制;在目标是最大限度地提高用户和URLLC比率或最低用户的URLLC比率时,我们考虑优化问题。URLC的费率功能既复杂又不兼容,使得考虑的优化问题不相容。因此,我们建议对复杂的URLCRCR的费率进行两次近似近似,并采用连续的convex优化(SCO)来解决考虑的优化问题。具体地说,我们建议采用相互交替的连结结的近近近近近近近(SCO-ICBA)和上层干扰链接(SCO-II),我们提供广泛的模拟评价SCO-ICBLBA和CMMM的SBM最低部署与SBMMM的系统进行最接近。