High Energy Efficiency Transmission in MIMO Satellite Communications

Yuanyuan Ma, Tiejun Lv, Xuewei Zhang, Hui Gao, Shui Yu
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引用次数: 2

Abstract

In this paper, we propose a high energy efficiency transmission scheme in multi-beam MIMO satellite systems. Satellite is regarded as a two-way decode-and- forward (DF) relay, where multiple pairs of users exchange information within pair. Zero-forcing transceivers are employed at the satellite. The challenge is that of deriving an accurate yet tractable expression of the system-level energy efficiency (EE) to be used as our objective function. To tackle this challenge, firstly, a closed-form expression of the EE is derived under the assumption of perfect satellite channel. Secondly, based on this analytical expression, we formulate a resource allocation optimization problem for the EE maximization by jointly optimizing satellite power and users power, subject to limited transmit power and minimum quality-of-service (QoS) constraints. Finally, the successive convex approximation technique is invoked to transform the original optimization problem into a concave fractional programming problem, which is then efficiently solved by the existed methods. Simulation results demonstrate the effectiveness of the proposed algorithms.
MIMO卫星通信中的高能效传输
本文提出了一种多波束MIMO卫星系统的高能效传输方案。卫星被认为是一个双向的解码和转发(DF)中继,其中多对用户在对内交换信息。卫星上使用了零强迫收发器。我们面临的挑战是推导出系统级能源效率(EE)的准确而易于处理的表达式,作为我们的目标函数。为了解决这一问题,首先,在完美卫星信道的假设下,推导了电子商务的封闭表达式。其次,在此解析表达式的基础上,在有限发射功率和最小服务质量(QoS)约束下,通过联合优化卫星功率和用户功率,提出了一个EE最大化的资源分配优化问题。最后,利用连续凸逼近技术将原优化问题转化为凹分式规划问题,并利用已有的方法进行有效求解。仿真结果验证了所提算法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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