It is generally acknowledged that mobile communication base stations are composed of hardware components such as Field Programming Gate Array （FPGA）, Digital Signal Processor （DSP）, which promise reliable and flue...It is generally acknowledged that mobile communication base stations are composed of hardware components such as Field Programming Gate Array （FPGA）, Digital Signal Processor （DSP）, which promise reliable and fluent services for the mobile users. However, with the increasing demand for energy-efficiency, approaches of low power-consumption and high-flexibility are needed urgently. In this circumstance, General Purpose Processor （GPP） attracts people＇s attention for its low-cost and flexibility. Benefited from the development of modern GPP in multi-core, Single Instruction Multiple Data （SIMD） instructions, larger cache, etc., GPPs are capable of performing high-density digital processing. In this paper, we compare several software-defined radio （SDR） prototypes and propose the general architecture of GPP-based soft base stations. Then, the schematic design of resource allocation and algorithm optimization in soft base station implementation are studied. As an application example, a prototype of GPP-based soft base station referring to the 3rd Generation Partnership Project （3GPP） Long Term Evolution （LTE） is realized and evaluated. To the best of our knowledge, it is the first Soft-LTE prototype ever reported. In the end, we evaluate the timing performance of the LTE soft base station and a packet loss ratio of less than 0.003 is obtained.展开更多
基金The National High Technology Research and Development Program of China(863 Program)(No.2014AA01A702)the National Science and Technology Major Project(No.2013ZX03001032-004)+1 种基金the National Natural Science Foundation of China(No.6122100261201170)
文摘为了解决LTE网络所面临的具有挑战性的覆盖问题,提出一种基于改进的粒子群优化(MPSO)的覆盖优化方案.该方案通过调整演进基站(e NB)的天线倾角(ATA)优化网络覆盖.e NB利用移动台(MS)测量到的参考信号接受功率(RSRP)判断自身服务的MS数目,并用服务的MS数目作为覆盖优化的评价指标,通过最大化服务MS的数量来优化覆盖.在MPSO算法中,存在一群可被看作是ATA集合的粒子,适应度函数定义为被服务的MS总数,每次迭代中的进化速度对应于ATA的调整尺度.仿真结果表明,与固定天线倾角相比,提出的算法使得e NB服务的MS数目增加7.2%,接收信号的质量提升20 d Bm,同时系统吞吐量提升55 Mbit/s.
基金supported by the International Scientific and Technological Cooperation Program of China under Grant No.2010DFA11060the National Natural Science Foundation of China under Grant No. 61027003+1 种基金the National Science and Technology Major Project of China under Grant No. 2012ZX03003008-003the Beijing Municipal Science and Technology Project under Grant No. D121100002112002
文摘It is generally acknowledged that mobile communication base stations are composed of hardware components such as Field Programming Gate Array （FPGA）, Digital Signal Processor （DSP）, which promise reliable and fluent services for the mobile users. However, with the increasing demand for energy-efficiency, approaches of low power-consumption and high-flexibility are needed urgently. In this circumstance, General Purpose Processor （GPP） attracts people＇s attention for its low-cost and flexibility. Benefited from the development of modern GPP in multi-core, Single Instruction Multiple Data （SIMD） instructions, larger cache, etc., GPPs are capable of performing high-density digital processing. In this paper, we compare several software-defined radio （SDR） prototypes and propose the general architecture of GPP-based soft base stations. Then, the schematic design of resource allocation and algorithm optimization in soft base station implementation are studied. As an application example, a prototype of GPP-based soft base station referring to the 3rd Generation Partnership Project （3GPP） Long Term Evolution （LTE） is realized and evaluated. To the best of our knowledge, it is the first Soft-LTE prototype ever reported. In the end, we evaluate the timing performance of the LTE soft base station and a packet loss ratio of less than 0.003 is obtained.
