电子与信息学报
電子與信息學報
전자여신식학보
JOURNAL OF ELECTRONICS & INFORMATION TECHNOLOGY
2015年
9期
2198-2203
,共6页
胡莹%黄永明%俞菲%杨绿溪
鬍瑩%黃永明%俞菲%楊綠溪
호형%황영명%유비%양록계
无线通信%大规模多输入多输出%多用户%资源分配%上行系统%能效
無線通信%大規模多輸入多輸齣%多用戶%資源分配%上行繫統%能效
무선통신%대규모다수입다수출%다용호%자원분배%상행계통%능효
Wireless communication%Massive MIMO%Multi-user%Resource allocation%Uplink system%Energy- efficiency
该文针对多用户大规模多输入多输出(MIMO)移动通信上行系统,提出一种基于能效优化的资源分配算法。所提方法在采用最大比合并(MRC)接收情况下,满足用户数据速率和可容忍的干扰水平约束条件下,以最大化系统能效下界为准则建立优化模型。根据分数规划的性质,把原始的分数最优化问题转换成减式的形式,进而采用凸优化的方法,通过联合调整基站端的发射天线数和用户的发射功率来优化能效函数。仿真结果表明,所提算法与穷举算法在能效上的差距不足9%,并且有较好的系统频谱效率性能,同时算法复杂度得到了显著降低。
該文針對多用戶大規模多輸入多輸齣(MIMO)移動通信上行繫統,提齣一種基于能效優化的資源分配算法。所提方法在採用最大比閤併(MRC)接收情況下,滿足用戶數據速率和可容忍的榦擾水平約束條件下,以最大化繫統能效下界為準則建立優化模型。根據分數規劃的性質,把原始的分數最優化問題轉換成減式的形式,進而採用凸優化的方法,通過聯閤調整基站耑的髮射天線數和用戶的髮射功率來優化能效函數。倣真結果錶明,所提算法與窮舉算法在能效上的差距不足9%,併且有較好的繫統頻譜效率性能,同時算法複雜度得到瞭顯著降低。
해문침대다용호대규모다수입다수출(MIMO)이동통신상행계통,제출일충기우능효우화적자원분배산법。소제방법재채용최대비합병(MRC)접수정황하,만족용호수거속솔화가용인적간우수평약속조건하,이최대화계통능효하계위준칙건립우화모형。근거분수규화적성질,파원시적분수최우화문제전환성감식적형식,진이채용철우화적방법,통과연합조정기참단적발사천선수화용호적발사공솔래우화능효함수。방진결과표명,소제산법여궁거산법재능효상적차거불족9%,병차유교호적계통빈보효솔성능,동시산법복잡도득도료현저강저。
An energy-efficient resource allocation scheme is proposed for multi-user massive MIMO mobile communication uplink system. A mathematical formulation of optimization issue is provided with the objective of maximizing system energy efficiency lower bound under the data rate of user and tolerable interference level constraint, meanwhile the Base Station (BS) uses a Maximum-Ratio Combining (MRC) receiver. By transforming the originally fractional optimization problem into an equivalent subtractive form using the properties of fractional programming, then convex optimization is adopted to maximize the energy efficiency. Specifically, both the numbers of antenna arrays at the BS and the transmit data rate at the user are adjusted. Simulation results show that the energy-efficiency difference between the proposed algorithm and the exhaustive algorithm is less than 9%, at the same time, the performance of spectral-efficiency of the proposed algorithm is very well and the complexity is significantly reduced.