A hybrid system of cellular mode and device-to-device(D2D)mode is considered in this paper,where the cellular resource is reused by the D2D transmission.With the objective of capacity maximization,the power optimization of D2D sub-system is considered,taking into account quality of service(QoS)requirement.The power optimization problem is divided into two stages:The first stage is the admission control scheme design based on the QoS requirement of D2D users,and the second is power allocation to maximize aggregate throughput of admissible D2D users.For the D2D admission control problem,a heuristic sorting-based algorithm is proposed to index the admissible D2D links,where gain to Interference ratio(GIR)sorting criterion is used.Applying an approximate form of Shannon capacity,the power allocation problem can be solved by convex optimization and geometric programming tools efficiently.Based on the theoretical analysis,a practical algorithm is proposed.The precision can reach a trade-off between complexity and performance.Numerical simulation results confirm that combining with GIR sorting method,the proposed scheme can significantly improve the D2D system's capacity and fairness.
FU Zi-xi HU Chun-jing PENG Tao LU Qian-xi WANG Wen-bo
The scheduling algorithm based on the three-way handshaking scheme in IEEE 802.16d-2004 standard has some serious problems because of the complexity of the algorithm and low scheduling efficiency.To enhance the scheduling efficiency and improve the performance of multi-hop wireless mesh networks(WMNs),one distributed scheduling algorithm that can maximize the spatial and time reuse with an interference-based network model is proposed.Compared to the graph-based network model,the proposed network model can achieve a better throughput performance with maximal spatial reuse.Furthermore,this proposed scheduling algorithm also keeps fairly scheduling to all links,with a priority-based polling policy.Both the theoretical analysis and simulation results show that this proposed distributed scheduling algorithm is simple and efficient.
A user pairing method is proposed to improve the throughput gain of virtual multiple input multiple output (virtual MIMO) in 3G long-term evolution(LTE).The approach taken in this study separated the user pairing into four steps:1)the users are divided into two groups according to their signal-to-noise ratio(SNR),and different user pairing metrics are proposed for each group;2)the scheduler chooses a user for transmitting by a given rule;3)the scheduler searches the pairing candidate for the selected user in each group;4)the scheduler chooses the final pairing user from the co-group and crossover-group candidates by using a marginal utility function,to balance fairness and efficiency.The method can improve the throughput of users with high SNR,and guarantee fairness for users with low SNR,so it can be used in 3G LTE systems.The article provides both theoretical analysis and simulation results to support the idea.
Aimed at that only one form of channel statistic information is utilized in traditional robust precoder schemes: either the channel mean or the transmit antenna correlation in multiple-input multiple-output (MIMO) wireless system, this paper proposes robust precoder designs which exploit both of statistic information to minimize the equalization mean-square error (MSE) with power constraint. Two different power constraints are studied. Besides the usual sum power constraint over all antennas, the per-antenna power constraint is imposed at transmitter in this paper. Since each antenna has its own amplifier, individual power constraint on each antenna is more realistic. Especially in MIMO-OFDM systems, the Peak-to-Average Ratio (PAR) is one of main practical problems. Simulations show that the proposed schemes have better performance than traditional normalized zero forcing schemes for imperfectly known correlated channel. Moreover, per-antenna power constraint can efficiently decrease the demand of dynamic range of power amplifier on each transmit antenna, especially in MIMO-OFDM systems.
基于多天线正交频分复用(MIMO-OFDM)系统提出了一种根据信道状态信息进行自适应比特交织的混合自动重传请求(HARQ)方案,它充分利用信道的状态信息对每次重传的比特进行交织来获得频率分集增益和平均各个比特间的可靠性。仿真结果表明,在Type III HARQ类型(包括Chase合并和部分冗余递增)下,该方案可以有效降低系统的误码率性能。
In the downlink of wideband code division multiple access (WCDMA) or WCDMA- high speed downlink packet access (HSDPA) system, the frequency reuse factor is equal to 1, which leads to more possible co-channel interference from neighbor cells. In this situation, user equipment (UE) with traditional receiver will suffer from significant performance degradation at the edge of the cell. To solve this problem, a receiver structure considering interference mitigation has been proposed for long term evolution (LTE) of third-generation partnership project (3GPP). Such receiver makes use of all the interfering cells’ channel information to perform a linear minimum mean square error (LMMSE) equalization algorithm. In this article, an improved equalization algorithm is presented, which simply adds more samples to perform one equalization operation. Simulations show that the proposed algorithm can obtain a considerable performance improvement in frequency selective fading channel, with relative little additional complexity introduced.
