为了能够减少多小区基站协作时的回传开销和预编码复杂度，研究了基于信漏噪比（SLNR）最大化准则的协作多小区传输分布式预编码算法。多个小区协作传输数据，仅仅需要局部的信道状态信息和用户的数据信息，减少了无线回传开销，得到基站协作带来的性能提高。仿真表明，与协作多小区传输的迫零（ZF）算法和协作单小区传输的SLNR算法相比，协作多小区传输SLNR预编码在开销和性能之间取得了良好的折衷。

To reduce the backhaul overheads and precoding complexity of base station coordination in multicell systems,the distributed precoding strategy based on maximizing the signal to leakage plus noise ratio (SLNR)is considered . It only needs the local channel state information (CSI)and the user data,which efficiently reduces backhaul overheads while enjoys the gain of the base station coordinated transmission . The distributed precodingstrategy is compared with coordinated multiple cells transmission based on zero forcing(ZF)algorithm and coordi-nated single cell transmission based on SLNR algorithm . Simulation results show that the proposed strategy gets a good tradeoff between overheads and performance .

针对目前采用的信道估计加联合检测算法的不足,研究多基站协作环境中抑制小区间迟延干扰问题。讨论基站协作系统模型,导出小区间迟延干扰的表达式,推导基于SLNR准则的迟延SLNR预编码,构建LTE物理层下行链路仿真平台,仿真结果显示该方案对小区间的迟延干扰有较好的抑制作用,减低了误码率。

Against the problem of channel estimation plus joint detection algorithm, study inter-cell asynchronous interference in Co-BS environment,Discussed the base station cooperative system model and inter-cell interference delay expression,a delay-tolerance SLNR precoding is brought forward to SLNR.The LTE physical layer downlink simulation platform is constructed, Simulation results show that the scheme can preferably mitigate inter-cell asynchronous interference. reduces the bit error rate.

现有基于效用的无线网络资源分配方法大多未考虑网络整体效用最优的问题,只关注基站内的资源分配最优化,没有将基站选择问题与基站内资源分配问题相结合。鉴于此,提出一种基于效用的多基站协作无线资源分配方法,将无线网络资源分配划分为2个阶段,即基于拥塞度选择基站与基于边际效用实现基站内的资源分配。仿真实验结果表明,在268次基站选择中,该方法与效用最优的基线方法有218次相同,占81.3%,但其平均用时只有0.066 s,远低于基线方法的0.926 s,从而验证了该基站选择方法的合理性,以及基站内资源分配方法的有效性和高效性。

Most utility based wireless resource allocation methods only focus on the optimal allocation within a base station. Because of ignoring the issue of base station selection, these methods can not achieve the optimal utility of whole network. Therefore, this paper proposes a utility based multi-base-station cooperation wireless resource allocation method, which is divided into two stages. In the first stage, base stations are selected according to their congestion degree. And in the second stage, the resource in each base station is allocated according to marginal utility. The simulation experiments show that, between the approach and the baseline method, of all the 268 base station selections there are 218 accounting for 81.3%having the same selection result and the average elapse time of the proposed method is only 0.066 s, which is much lower than the baseline method 0.926 s. These facts show the rationality of the base station selection method as well as the efficiency and effectiven

针对移动通信的切换设置优化问题,提出一种新的网络控制、终端辅助的无线链路测量方法。设计多小区协作机制,使切换源小区可从目标小区获取终端移动轨迹上的测量结果,分析是否需要触发小区间切换设置优化协商过程,以消除不合理切换。结合LTE技术阐述该方法的具体实施方式。分析表明该方法不受切换次数的限制,可适配终端不同移动速度,能够有效提高判断切换问题场景及基站间协商移动参数的准确性和可靠性。

Regarding to the handover setting optimization technique of the mobile telecommunication system ,a novel network-controlling ,terminal-assisted radio measurement method was proposed .The method was characterized by its multi-cell coordina-tion mechanism ,in which case the source cell attained radio measurement results along with the terminal ’s trajectory inside the target cell and therefore whether the inter-cell negotiation needed to be initiated was concluded to correct the improper handover setting .Moreover ,an implementation way of this method was illustrated in the context of the LTE system .The method can ef-fectively improve the accuracy and reliability of the detection of problematic handover scenarios and the negotiation of the han-dover setting adjustment between neighbor base stations .

针对多小区OFDMA系统下行链路，研究了用户公平性约束下的资源分配问题，提出了一种多基站协作的迭代优化的分布式资源分配算法。每个小区根据干扰状况及用户公平性，迭代地进行子载波和功率的资源优化；而每次迭代中，根据用户公平性准则分配子载波，并将非凸的小区功率优化问题转化为其下界的凸问题，通过一个分布式算法来求解。通过仿真验证了算法的有效性；仿真结果表明，与传统网络的固定功率分配的情形相比，所提算法保证了用户之间的公平性并显著提高了系统吞吐量。

The resource allocation with user fairness is considered for the downlink of a cellular orthogonal frequency division multi-access ( OFDMA) system, in which multiple base stations are coordinated itera-tively by a distributed resource allocation algorithm. In each cell, an iterative algorithm is proposed to opti-mize subcarrier and power allocation alternatively, while taking into consideration both the inter-cell inter-ference and the fairness among the users. In each iteration, the subcarrier allocation is updated by user fairness, while the power allocation is updated by solving a convex optimization problem as lower bound with a distributed optimal algorithm. The effectiveness of the algorithm has been illustrated by numerical experiments. The result of simulation indicates that the proposed scheme could significantly improve the o-verall network throughput while maintaining fairness as compared to a conventional network with fixed transmit power spectrum.