密集小区多载波系统中基于业务排队的能效优化
发布时间：2018-08-10 18:18
【摘要】：密集小区技术是满足未来高容量、高能效蜂窝通信的关键技术之一。在密集小区场景下,虽然单个基站的能耗降低了,但是由于基站总数大幅度增多,蜂窝网络的总能耗还是会随业务的增多而提高。基于用户业务排队的用户分配、频谱分配和功率分配可以有效地提升系统性能。该文研究在多载波正交信道下,基于用户业务排队进行用户调度、载波分配、功率分配来降低系统长时间的总能耗,同时保证用户业务传输的需求。通过利用Lyapunov优化理论,把问题转化成一个混合整数规划问题,并给出了多载波正交信道下的用户调度、载波分配、功率分配的算法。仿真结果验证了该算法能够降低系统能耗,同时与以优化系统和速率为目标的算法具有一致的系统和速率。
[Abstract]:Dense cell technology is one of the key technologies to meet the future high capacity and high energy efficiency cellular communication. In the dense cell scenario although the energy consumption of a single base station is reduced the total energy consumption of the cellular network will increase with the increase of traffic due to the increase of the total number of base stations. User allocation, spectrum allocation and power allocation based on subscriber queuing can effectively improve system performance. In this paper, in order to reduce the total energy consumption for a long time in a multi-carrier orthogonal channel, user scheduling, carrier allocation and power allocation based on user service queuing are studied to ensure the requirement of user service transmission. By using Lyapunov optimization theory, the problem is transformed into a mixed integer programming problem, and the algorithms of user scheduling, carrier allocation and power allocation in multi-carrier orthogonal channels are given. The simulation results show that the proposed algorithm can reduce the energy consumption of the system and has the same system and rate as the algorithm aimed at optimizing the system and the rate.
【作者单位】： 清华大学电子工程系;中国电子科技集团公司电子科学研究院;
【基金】：国家“九七三”重点基础研究项目(2013CB329002) 国家“八六三”高技术项目(2014AA01A703) 国家科技重大专项(2016ZX03001023) 国家自然科学基金资助项目(61631013) 国际科学技术合作项目(2014DFT10320) 清华-高通联合研究项目
【分类号】：TN929.5
本文编号：2175813
[Abstract]:Dense cell technology is one of the key technologies to meet the future high capacity and high energy efficiency cellular communication. In the dense cell scenario although the energy consumption of a single base station is reduced the total energy consumption of the cellular network will increase with the increase of traffic due to the increase of the total number of base stations. User allocation, spectrum allocation and power allocation based on subscriber queuing can effectively improve system performance. In this paper, in order to reduce the total energy consumption for a long time in a multi-carrier orthogonal channel, user scheduling, carrier allocation and power allocation based on user service queuing are studied to ensure the requirement of user service transmission. By using Lyapunov optimization theory, the problem is transformed into a mixed integer programming problem, and the algorithms of user scheduling, carrier allocation and power allocation in multi-carrier orthogonal channels are given. The simulation results show that the proposed algorithm can reduce the energy consumption of the system and has the same system and rate as the algorithm aimed at optimizing the system and the rate.
【作者单位】： 清华大学电子工程系;中国电子科技集团公司电子科学研究院;
【基金】：国家“九七三”重点基础研究项目(2013CB329002) 国家“八六三”高技术项目(2014AA01A703) 国家科技重大专项(2016ZX03001023) 国家自然科学基金资助项目(61631013) 国际科学技术合作项目(2014DFT10320) 清华-高通联合研究项目
【分类号】：TN929.5
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