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| 1 | Key techniques for 5G wireless communications:network architecture, physical layer,and MAC layer perspectives显示文摘The fourth generation(4G) mobile communication systems are offering service worldwide steadily.Although 4G systems could be loaded with much more services and data than previous systems, there is still a dramatic gap between the people's practical requirements and what can be offered by the 4G technologies.Consequently, the research and development for the fifth generation(5G) systems have already been started. This article presents an overview of potential network architecture and highlights several promising techniques which could be employed in the future 5G systems. These techniques include non-orthogonal multiple access(NOMA),massive multiple input and multiple output(MIMO), cooperative communications and network coding, full duplex(FD), device-to-device(D2D) communications, millimeter wave communications, automated network organization, cognitive radio(CR), and green communications. The state-of-art and implementation issue of these techniques are also addressed. | MA Zheng ZHANG ZhengQuan DING ZhiGuo FAN PingZhi LI HengChao | 2015 | Science China(Information Sciences)2015，58，4： | 49 |
| 2 | Nash bargaining solution based multi-cell and multi-user interference alignment scheme for cellular networks显示文摘In wireless cellular networks, the interference alignment(IA) is a promising technique for interference management. A new IA scheme for downlink cellular network with multi-cell and multi-user was proposed. In the proposed scheme, the interference in the networks is divided into inter-cell interference(ICI) among cells and inter-user interference(IUI) in each cell. The ICI is aligned onto a multi-dimensional subspace by multiplying the ICI alignment precoding matrix which is designed by the singular value decomposition(SVD) scheme at the base station(BS) side. The aligned ICI is eliminated by timing the interference suppression matrix which is designed by zero-forcing(ZF) scheme at the user equipment(UE) side. Meanwhile, the IUI is aligned by multiplying the IUI alignment precoding matrix which is designed based on Nash bargaining solution(NBS) in game theory. The NBS is solved by the particle swarm optimization(PSO) method. Simulations show that, compared with the traditional ZF IA scheme, the proposed scheme can obtain higher data rate and guarantee the data rate fairness of UEs with little additional complexity. | NIU Qin ZENG Zhi-min ZHANG Tian-kui GAO Qiu-bin SUN Shao-hui | 2014 | The Journal of China Universities of Posts and Telecommunications2014，21，4： | 0 |
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