Optimization of SIC Receiver and CDMA Power Control by Discrete Stochastic Approximation

N. Benvenuto, G. Carnevale, S. Tomasin
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Abstract

In an uplink CDMA transmission, we consider a base station that utilizes successive interference cancellation (SIC) and performs power control of the mobile terminals to minimize the system power. Since the joint optimization of power control and ordering (JOPCO) detection in SIC requires a computational effort that grows exponentially with the number of active users, in this paper we propose an approximated solution obtained by modelling JOPCO as a discrete stochastic optimization problem. The proposed algorithm is based on the construction of a Markov chain whose states are the orderings. Moreover, in order to further reduce complexity, an efficient description of the state probabilities is derived. Simulations performed on an UMTS scenario show that the proposed technique yields a performance close to the optimal JOPCO solution
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基于离散随机逼近的SIC接收机和CDMA功率控制优化
在上行CDMA传输中,我们考虑采用连续干扰消除(SIC)并对移动终端进行功率控制以最小化系统功率的基站。由于SIC中功率控制和排序(JOPCO)检测的联合优化需要随着活跃用户数量呈指数增长的计算量,因此本文提出了将JOPCO建模为离散随机优化问题的近似解。该算法基于状态为有序的马尔可夫链的构造。此外,为了进一步降低复杂性,推导了一种有效的状态概率描述。在UMTS场景下进行的仿真表明,所提出的技术产生的性能接近最优JOPCO解决方案
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