eICIC Configuration Algorithm with Service Scalability in Heterogeneous Cellular Networks
eICIC Configuration Algorithm with Service Scalability in Heterogeneous Cellular Networks
复制标题
异构蜂窝网络中具有服务可扩展性的 eICIC 配置算法
DOI：
10.1109/tnet.2016.2588507
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发表时间：
2017-02
影响因子：
3.7
通讯作者：
Yamada Shigeki
中科院分区：
文献类型：
--
作者：
Zhou Hao;Ji Yusheng;Wang Xiaoyan;Yamada Shigeki
干扰管理是具有多个宏小区和微微小区的异构蜂窝网络中最重要的问题之一。增强型小区间干扰协调（eICIC）已被提出来通过减轻来自相邻宏小区的干扰来保护下行链路微微小区传输。因此，自适应eICIC配置问题至关重要，它调整包括几乎空白子帧（ABS）的比例和小区范围扩展（RE）偏差在内的参数。这个问题尤其对于多个网络服务共存的场景来说具有挑战性，因为不同的服务具有不同的用户调度策略和不同的评估指标。通过使用通用服务模型，我们将多个共存服务的 eICIC 配置问题表述为具有正则化的一般形式共识问题，并通过提出一种基于乘子交替方向方法的高效优化算法来解决该问题。特别是，我们在服务层执行本地RE偏差自适应，在BS层执行本地ABS比率自适应，以及在网络层针对全局解决方案的本地解决方案之间的协调。为了提供服务可扩展性，我们将服务细节封装到本地RE偏差适应子问题中，该子问题与算法的其他部分隔离，并且我们还介绍了针对不同服务的子问题的一些实现示例。大量的仿真结果证明了该算法的有效性并验证了算法的收敛性。
Interference management is one of the most important issues in heterogeneous cellular networks with multiple macro and pico cells. The enhanced inter cell interference coordination (eICIC) has been proposed to protect downlink pico cell transmissions by mitigating interference from neighboring macro cells. Therefore, the adaptive eICIC configuration problem is critical, which adjusts the parameters including the ratio of almost blank subframes (ABS) and the bias of cell range expansion (RE). This problem is challenging especially for the scenario with multiple coexisting network services, since different services have different user scheduling strategies and different evaluation metrics. By using a general service model, we formulate the eICIC configuration problem with multiple coexisting services as a general form consensus problem with regularization and solve the problem by proposing an efficient optimization algorithm based on the alternating direction method of multipliers. In particular, we perform local RE bias adaptation at service layer, local ABS ratio adaptation at BS layer, and coordination among local solutions for a global solution at a network layer. To provide the service scalability, we encapsulate the service details into the local RE bias adaptation subproblem, which is isolated from the other parts of the algorithm, and we also introduce some implementation examples of the subproblem for different services. The extensive simulation results demonstrate the efficiency of the proposed algorithm and verify the convergence property.
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DOI：
10.1109/jstsp.2012.2190381
发表时间：
2012-03
影响因子：
7.5
作者：
D. López-Pérez;Xiaoli Chu;Ismail Güvenç
通讯作者：
D. López-Pérez;Xiaoli Chu;Ismail Güvenç
DOI：
10.1109/twc.2013.040413.120676
发表时间：
2013-06-01
影响因子：
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DOI：
10.1109/glocom.2014.7417165
发表时间：
2014-12
期刊：
2015 IEEE Global Communications Conference (GLOBECOM)
影响因子：
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通讯作者：
Hao Zhou;Yusheng Ji;Xiaoyan Wang;S. Yamada
影响因子：
10.4
作者：
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S. Vasudevan;Rahul N. Pupala;K. Sivanesan
DOI：
10.1109/lcomm.2013.102113.131836
发表时间：
2013-10
期刊：
IEEE Communications Letters
影响因子：
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作者：
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通讯作者：
Yinghao Jin;Ling Qiu