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Site planning of Relay Stations in greenwireless access networks: A genetic algorithm approach

机译:绿色无线接入网中中继站的站点规划:一种遗传算法

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The relay-based wireless access networks are envisioned as one of the most promising “green” network architectures, in which Relay Stations (RSs) are incorporated to meet the fast-growing throughput requirement of Subscriber Stations (SSs) by exploiting the performance benefits of cooperative relay technology. Due to the lower cost, less energy consumption and CO2 emission of RSs comparing with those of Base Stations (BSs), the relay-based wireless access networks are also appealing to infrastructure operators. In this paper, we focus on the problem of RS site planning, which is a critical task of network planning and deployment to achieve an efficient and scalable network environment. An optimization framework is developed to minimize the total cost of RSs as well as meet the minimal traffic demand for each SS. The problem of joint RS placement and bandwidth allocation is formulated into an mixed integer nonlinear program. We resort to an improved Genetic Algorithm (GA) in order to yield optimal or near-optimal solutions. Simulation results show that our approach is fairly effective and robust to different scenarios of the RS site planning problem.
机译:基于中继的无线接入网被设想为最有前途的“绿色”网络架构之一,其中通过利用中继站(RS)的性能优势来满足订户站(SS)快速增长的吞吐量要求。合作中继技术。由于与基站(BS)相比,RS的成本更低,能耗更低以及CO 2 排放,基于中继的无线接入网络也吸引了基础设施运营商。在本文中,我们关注RS站点规划的问题,这是网络规划和部署的关键任务,以实现高效且可扩展的网络环境。开发了优化框架,以最小化RS的总成本以及满足每个SS的最小流量需求。联合RS放置和带宽分配的问题被公式化为一个混合整数非线性程序。我们求助于改进的遗传算法(GA),以产生最佳或接近最佳的解决方案。仿真结果表明,我们的方法对于RS站点规划问题的不同情况是相当有效和健壮的。

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