Cognitive Radio Based Resource Allocation for Sum Rate Maximization in Dual Satellite Systems

Dai Nguyen, T. M. Nguyen, L. Le
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引用次数: 5

Abstract

Satellites operating on same frequency bands with overlapping coverage can suffer from co-channel interference from the others. Hence, resource allocation and interference management for the multi-satellite system are very important to maintain the reliable communications and effective utilization of the radio resources. Such design typically requires the channel state information (CSI) of both desirable and interfering communication links; however, the large round trip delay in satellite communication renders the estimation of instantaneous CSI a difficult task. In this paper, we study the resource allocation for the uplink communications of two satellites using the cognitive radio concept where the two satellites are treated as the primary and secondary satellites. Many of conventional resource allocation problems for sum rate maximization deal with power management. Our design which does not require the instantaneous CSI knowledge aims to maximize the average sum rate of the secondary satellite by optimize both the secondary users' (SU) powers and angles toward the secondary satellite. To tackle the underlying non-convex resource allocation problem, we propose a block coordinate descent based iterative algorithm where in each iteration, the power allocation is solved optimally by using the dual based algorithm and the angles of SUs are determined to achieve the maximum average sum rate while maintaining the average interference constraints. We then conduct numerical studies and show significant performance improvement of the proposed algorithm compared to other conventional algorithms.
基于认知无线电的双卫星系统总速率最大化资源分配
在重叠覆盖的同一频段上工作的卫星可能受到来自其他卫星的同信道干扰。因此,多卫星系统的资源分配和干扰管理对于保证通信的可靠性和无线电资源的有效利用具有重要意义。这种设计通常需要期望通信链路和干扰通信链路的信道状态信息(CSI);然而,卫星通信中较大的往返时延使得瞬时CSI的估计成为一项困难的任务。本文采用认知无线电的概念,将两颗卫星分别视为主卫星和副卫星,研究了两颗卫星上行通信的资源分配问题。许多传统的和率最大化资源分配问题都涉及到电源管理问题。我们的设计不需要即时的CSI知识,旨在通过优化辅助用户(SU)功率和对辅助卫星的角度来最大化辅助卫星的平均和速率。为了解决底层的非凸资源分配问题,提出了一种基于块坐标下降的迭代算法,在每次迭代中,使用基于对偶的算法进行最优的功率分配,并确定su的角度以实现最大的平均和速率,同时保持平均干扰约束。然后,我们进行数值研究,并显示与其他传统算法相比,所提出的算法的性能有显着提高。
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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