电讯技术
電訊技術
전신기술
TELECOMMUNICATIONS ENGINEERING
2015年
1期
73-79
,共7页
正交频分多址系统%协作多点%对偶分解%资源分配%单节点功率约束
正交頻分多阯繫統%協作多點%對偶分解%資源分配%單節點功率約束
정교빈분다지계통%협작다점%대우분해%자원분배%단절점공솔약속
OFDMA system%coordinated multiple-point%dual decomposition%resource allocation%per-node power constraint
在MU-CoMP-JT( Multi-User Coordinated Multiple-Points Joint Transmission)联合资源分配问题中，传统的迫零预编码矩阵会使得每根天线发送功率互不相同，当CoMP节点发射功率仅满足总功率约束时性能损失不明显，而当CoMP节点分布在不同的地理位置时将受到单节点功率约束，这势必会降低系统功率利用率。为了进一步提升系统吞吐量，基于对偶分解理论提出了一种联合预编码优化的资源分配算法。该算法以最大化用户权重速率为目标，将原优化问题分解成若干个优化的子问题，不同子问题对应不同接收天线数的联合优化问题。当子信道的发送天线数大于接收天线数时，通过多次迭代计算得到预编码矩阵，并且预编码矩阵会随着拉格朗日因子的变化而变化。仿真结果表明所提联合预编码优化的联合资源分配算法能够明显提升系统吞吐量，且提高天线功率利用效率。
在MU-CoMP-JT( Multi-User Coordinated Multiple-Points Joint Transmission)聯閤資源分配問題中，傳統的迫零預編碼矩陣會使得每根天線髮送功率互不相同，噹CoMP節點髮射功率僅滿足總功率約束時性能損失不明顯，而噹CoMP節點分佈在不同的地理位置時將受到單節點功率約束，這勢必會降低繫統功率利用率。為瞭進一步提升繫統吞吐量，基于對偶分解理論提齣瞭一種聯閤預編碼優化的資源分配算法。該算法以最大化用戶權重速率為目標，將原優化問題分解成若榦箇優化的子問題，不同子問題對應不同接收天線數的聯閤優化問題。噹子信道的髮送天線數大于接收天線數時，通過多次迭代計算得到預編碼矩陣，併且預編碼矩陣會隨著拉格朗日因子的變化而變化。倣真結果錶明所提聯閤預編碼優化的聯閤資源分配算法能夠明顯提升繫統吞吐量，且提高天線功率利用效率。
재MU-CoMP-JT( Multi-User Coordinated Multiple-Points Joint Transmission)연합자원분배문제중，전통적박령예편마구진회사득매근천선발송공솔호불상동，당CoMP절점발사공솔부만족총공솔약속시성능손실불명현，이당CoMP절점분포재불동적지리위치시장수도단절점공솔약속，저세필회강저계통공솔이용솔。위료진일보제승계통탄토량，기우대우분해이론제출료일충연합예편마우화적자원분배산법。해산법이최대화용호권중속솔위목표，장원우화문제분해성약간개우화적자문제，불동자문제대응불동접수천선수적연합우화문제。당자신도적발송천선수대우접수천선수시，통과다차질대계산득도예편마구진，병차예편마구진회수착랍격랑일인자적변화이변화。방진결과표명소제연합예편마우화적연합자원분배산법능구명현제승계통탄토량，차제고천선공솔이용효솔。
In the joint resource allocation problem of multi-user coordinated multiple-points joint transmis-sion( MU-CoMP-JT) ,the traditional zero-forcing precoding matrix makes the transmitting power of each antenna different,the loss of performance is not obvious when the transmitting power of the CoMP node only meets the total power constraint,but it will be influenced by single node power constraint when the CoMP node distributes in different geographical position,which is bound to reduce the power utilization of the sys-tem. In order to further improve the system throughput,a joint precoding optimized resource allocation algo-rithm is proposed based on dual decomposition theory. The algorithm is aimed at maximum user weight rate and decomposes the original optimization problem into multiple optimization sub-problems,different sub-problems correspond to the joint optimization problem of the different number of receiving antennas. When the number of transmit antennas is greater than that of receiving antennas,the precoding matrix can be ob-tained by several times of iterative computation and it will change with Lagrange factor. The simulation re-sults show that the proposed combined precoding optimization algorithm can improve the system throughput significantly and utilization efficiency of antenna power.
