基于协作通信的功率分配算法研究
发布时间:2018-01-27 22:41
本文关键词: 协作通信 中继技术 博弈论 功率分配 差分演化 出处:《哈尔滨工业大学》2014年硕士论文 论文类型:学位论文
【摘要】:无线通信系统中,高数据传输速率和高可靠性是十分重要的性能指标。MIMO技术通过空间分集提高系统容量实现高速可靠的信号传输。然而由于体积、功耗等限制,在移动终端上实现多天线非常困难。协作通信通过引入中继节点形成虚拟的多天线系统,将MIMO技术实用化。由于它具有有效扩大系统覆盖范围、降低功耗并且改善通信质量等优势,可适用在自组网、蜂窝网以及认知无线电网络中,具有非常广阔的应用前景。 在协作通信中,中继节点采用不同的中继技术进行数据转发。由于移动终端的资源有限,而转发数据又需要消耗自身资源,因此系统的功率分配问题是一个值得研究的问题。本文以最小化误符号率作为系统优化指标,分别对单中继和多中继系统进行了研究分析。 首先从协作分集基本原理入手,简要分析了协作中继的几种协议以及它们的优缺点。接下来根据网络形式不同,本文分两方面来研究放大转发模式下协作通信系统中的功率分配问题。其一,在集中控制网络中,各个节点都可以作为潜在的中继节点,因此这里只涉及如何将功率合理分配以达到有效的系统性能指标。文章分别给出了单中继和多中继的功率分配方法:对单中继系统采用直接计算法通过拉格朗日乘子给出计算结果;对多中继系统采用迭代算法,引入差分演化算法进行多中继系统功率分配。并通过仿真结果验证给出方案对系统性能有所改善。其二,在分布式网络中,由于节点的自私性和盈利性,用户很可能拒绝转发其他用户的信息,因此需要有一定的激励机制来刺激它们参与协作,通过引入博弈论,基于Stackelberg博弈模型研究了中继选择以及功率分配的问题,构建买家/卖家模型,通过引入价格机制给出源节点如何选择最佳中继以及各中继之间功率分配问题的解决方案,并给出具体仿真分析。
[Abstract]:In wireless communication systems, high data transmission rate and high reliability are very important performance indicators. MIMO technology improves the system capacity through spatial diversity to achieve high-speed and reliable signal transmission. However, due to volume. Because of the limitation of power consumption, it is very difficult to implement multi-antenna on mobile terminal. Cooperative communication forms virtual multi-antenna system by introducing relay nodes. It can be used in ad hoc networks, cellular networks and cognitive radio networks because of its advantages such as extending system coverage, reducing power consumption and improving communication quality. It has a very broad application prospect. In cooperative communication, relay nodes use different relay technologies for data forwarding. Due to the limited resources of mobile terminals, forwarding data needs to consume their own resources. Therefore, the power allocation problem of the system is worth studying. In this paper, the single relay system and the multi-relay system are studied and analyzed using the minimization of symbol error rate as the system optimization index. Starting with the basic principle of cooperative diversity, this paper briefly analyzes several protocols of cooperative relay and their advantages and disadvantages. In this paper, we study the power allocation problem in the cooperative communication system in the mode of amplification and forwarding. Firstly, in the centralized control network, each node can be used as the potential relay node. Therefore, it is only concerned with how to allocate power reasonably to achieve effective system performance index. This paper gives the power allocation methods of single relay and multi-relay, respectively. The direct calculation method is used to calculate the single relay system by Lagrange multiplier. Iterative algorithm is used for multi-relay system and differential evolution algorithm is introduced for power allocation of multi-relay system. The simulation results show that the scheme can improve the system performance. Secondly, in distributed network. Because of the selfishness and profitability of nodes, users are likely to refuse to forward other users' information, so they need to have some incentive mechanism to stimulate them to participate in collaboration by introducing game theory. Based on the Stackelberg game model, the problem of relay selection and power allocation is studied, and the buyer / seller model is constructed. By introducing the price mechanism, the solution to the problem of how to select the best relay and the power distribution among the relays is given, and the simulation analysis is given.
【学位授予单位】:哈尔滨工业大学
【学位级别】:硕士
【学位授予年份】:2014
【分类号】:TN929.5
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