首页> 外文期刊>IEEE systems journal >Joint User Association and Power Allocation for Hybrid Half-Duplex/Full-Duplex Relaying in Cellular Networks
【24h】

Joint User Association and Power Allocation for Hybrid Half-Duplex/Full-Duplex Relaying in Cellular Networks

机译:用于蜂窝网络中的混合半双工/全双工中继的联合用户关联和功率分配

获取原文
获取原文并翻译 | 示例
           

摘要

For hybrid half-duplex/full-duplex relaying in a relay-aided cellular network, a joint user association, relay mode selection, and power allocation scheme is proposed to maximize the energy efficiency under the minimum spectral efficiency requirement and transmission power constraints. This combinatorial optimization problem is a mixed-integer nonconvex one, which is difficult to be solved in its original form. To circumvent this issue, the problem is first transformed into an equivalent one whose objective function is in a parametric subtractive form. Then, the equivalent problem is reformulated as a convex one by relaxing index variables, converting the nonconvexity by the successive convex approximation, and constructing auxiliary variables. In this way, the equivalent nonconvex problem is approximated by a convex one in each iteration, and the dual decomposition technique is employed to solve the convex one. An iterative algorithm is further developed to reach the solution to the primal problem. Simulation results show that the performance of the iterative algorithm can be very close to the optimal solution obtained by the exclusive searching within only a few number of iterations. Moreover, the proposed scheme outperforms existing ones, which only adhere to either the user association or the relay mode selection but not both.
机译:对于中继辅助蜂窝网络中的混合半双工/全双工中继,提出了联合用户关联,中继模式选择和功率分配方案,以在最小光谱效率要求和传输功率约束下最大化能量效率。该组合优化问题是混合整数非凸起的问题,其难以以其原始形式解决。为了避免这个问题,首先将问题转换为相同的,其目标函数处于参数减法形式。然后,等效问题是通过放松索引变量来重新重新重新重整为凸起的问题,通过连续凸起的近似和构建辅助变量来转换非凸起。以这种方式,等效的非耦合问题由每次迭代中的凸起近似,并且使用双分解技术来求解凸起。进一步开发了一种迭代算法以达到原始问题的解决方案。仿真结果表明,迭代算法的性能可以非常接近于仅在仅几数量的迭代中获得的独占搜索所获得的最佳解决方案。此外,所提出的方案优于现有的方案,其仅遵守用户关联或中继模式选择而不是两者。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号