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Joint power and feedback bit allocation for energy- efficient design in limited-feedback coordinated beamforming systems

机译:联合功率和反馈比特分配,用于有限反馈协调波束成形系统中的节能设计

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Energy efficiency (EE) has become an important design goal for future cellular systems. In this paper, we study the EE problem for limited-feedback coordinated beamforming systems providing real-time services with constant date rate. To maximize the EE, we jointly optimize the transmit power among users and the feedback bits of each user to quantize the desired and interfering channel directions, subject to the constraints of outage probability and number of feedback bits. An iterative optimization algorithm is proposed for alternating power and bit allocation by employing Yates’ framework. To further reduce the computational complexity, a suboptimal algorithm is proposed in closed form by decoupling the problem into subproblems under asymptotical analysis. Simulation results show that the suboptimal algorithm performs closely to the iterative optimization algorithm under high-quantization resolution. Moreover, the proposed two algorithms provide substantial EE gain over existing schemes with equal power and bit allocation, and the EE depends on the target data rate and outage probability of each user as well as the circuit power consumption at the base stations.
机译:能源效率(EE)已成为未来蜂窝系统的重要设计目标。在本文中,我们研究了具有恒定日期速率的实时服务的有限反馈协调波束成形系统的EE问题。为了最大化EE,我们在中断概率和反馈位数的限制下,共同优化了用户之间的发射功率和每个用户的反馈位,以量化所需的和干扰的信道方向。通过采用Yates的框架,提出了一种迭代优化算法,用于交替分配功率和比特。为了进一步降低计算复杂度,在渐近分析下通过将问题解耦为子问题,以封闭形式提出了次优算法。仿真结果表明,在高量化分辨率下,次优算法与迭代优化算法的性能接近。而且,所提出的两种算法在具有相等功率和比特分配的现有方案上提供了可观的EE增益,并且EE取决于目标数据速率和每个用户的中断概率以及基站的电路功耗。

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