论文标题
OFDM系统的强大URLLC数据包计划
Robust URLLC Packet Scheduling of OFDM Systems
论文作者
论文摘要
在本文中,我们考虑了在下行链接蜂窝正交频率分析多重频率分析多元访问(OFDMA)系统中,在指定的延迟和可靠性要求下,在指定的延迟和可靠性要求下,联合物理资源块(PRB)分配的功率最小化问题。更实用的是,仅假定不完美的通道状态信息(CSI)可以在基站(BS)可用。配方的问题是组合和混合企业非凸的问题,很难解决。通过Slack变量引入的技术,一阶Taylor近似和重新加权的$ \ ELL_1 $ -NORM,我们通过凸问题和连续的凸近近似(SCA)迭代算法近似它,以产生次数亚良好的溶液。数值结果提供了一些有关通道估计错误,用户数,允许的最大延迟和数据包误差概率对所需系统总和功率的影响的见解。
In this paper, we consider the power minimization problem of joint physical resource block (PRB) assignment and transmit power allocation under specified delay and reliability requirements for ultra-reliable and low-latency communication (URLLC) in downlink cellular orthogonal frequency-division multiple-access (OFDMA) system. To be more practical, only the imperfect channel state information (CSI) is assumed to be available at the base station (BS). The formulated problem is a combinatorial and mixed-integer nonconvex problem and is difficult to tackle. Through techniques of slack variables introduction, the first-order Taylor approximation and reweighted $\ell_1$-norm, we approximate it by a convex problem and the successive convex approximation (SCA) based iterative algorithm is proposed to yield sub-optimal solutions. Numerical results provide some insights into the impact of channel estimation error, user number, the allowable maximum delay and packet error probability on the required system sum power.