Achievable Uplink Rate Analysis for Distributed Massive MIMO Systems with Interference from Adjacent Cells

This work focuses on the multicell multi-user distributed massive MIMO(DM-MIMO)systems,of which each user is equipped with single antenna and the base stations(BSs)consists of distributed antenna units. We first investigate the arbitrary BS antenna topology scenario. The derivation indicates that in this case the achievable uplink rate of an arbitrary user in central cell depends on both the number of BS's antennas and the users' access distance to each distributed antenna unit(DAU). As a result,the performance analysis based on the derivations is difficult. To overcome this issue and achieve clearer insight,we then consider a circularly distributed BS antenna array and obtain the asymptotic uplink rate of an arbitrary user by considering the asymptotic case where the number of antennas of BSs tends to infinity. It is achieved that the asymptotic uplink rate only depends on the distance from users' position to the center of reference cell. The presented numerical results show clearly that the distributed massive MIMO systems outperform the centralized ones. Moreover,it is also achieved that the interference from the adjacent cells imposes great impact on system performance. Besides this,in numerical analysis the averageasymptotic uplink rate of a user is presented,which is free of the users' position and only depends on the radius of circular antenna arrays. It is achieved the maximum average uplink rate would be achieved when the radius of circularly distributed antenna array goes to its optimization location.

Dynamic Cell Range Expansion-based Interference Coordination Scheme in Next Generation Wireless Networks

Deploying Picocell Base Station(PBS) throughout a Macrocell is a promising solution for capacity improvement in the next generation wireless networks.However,the strong received power from Macrocell Base Station(MBS) makes the areas of Picocell narrow and limits the gain of cell splitting.In this paper,we firstly propose a Dynamic Cell Range Expansion(DCRE) strategy.By expanding the coverage of the cell,we aim to balance the network load between MBS and PBS.Then,we present a cooperative Resource block and Power Allocation Scheme(coRPAS)based on DCRE.The objective of coRPAS is to decrease interference caused by MBS and Macrocell User Equipments,by which we can expand regions of Picocell User Equipments.Simulation results demonstrate the superiority of our method through comparing with other existing methods.

Interference-Cancellation Scheme for Multilayer Cellular Systems

A 5G network must be heterogeneous and support the co-existence of multilayer cells, multiple standards, and multiple applica- tion systems. This greatly improves link performance and increases link capacity. A network with co-existing macro and pico cells ean alleviate traffic congestion caused by muhicast or unicast subscribers, help satisfy huge traffic demands, and further extend converge. In order to practically implement advanced 5G technology, a number of technical problems have to be solved, one of which is inter-cell interference. A method called Almost Blank Subframe （ABS） has been proposed to mitigate interference; howev- er, the reference signal in ABS still causes interference. This paper describes how interference can be cancelled by using the in- formation in the ABS. First, the interference-signal model, which takes into account channel effect, time and frequency error, is presented. Then, an interference-cancellation scheme based on this model is studied. The timing and carrier frequency offset of the interference signal is compensated. Afterwards, the reference signal of the interfering cell is generated locally and the channel response is estimated using channel statistics. Then, the interference signal is reconstructed according to previous estimation of channel, timing, and carrier frequency offset. The interference is mitigated by subtracting the estimated interference signal. Com- puter simulation shows that this interference-cancellation algorithm significantly improves performance under different channel conditions.

Cells grouping scheme against pilot contamination in large scale antennas system

The influence of cells groupings factor to the performance of the cells groupings time-shift pilot scheme is researched for the multiple cells large scale antennas systems（LSAS）. The former researches have confirmed that the cells groupings time-shift pilots scheme is effective to reduce inter-cell interference, especially pilot contamination, which results from the pilot reuse in adjacent cells. However, they have not specified reasonable cells groupings factor, which plays a critical role in the general performance of the LSAS. Therefore, this problem is researched in details. The time for reverse-link data transmission will be compressed, when the groupings factor surpasses a certain range. Thus it is not always beneficial to increase the cells groupings factor without limitation. Furthermore,a reasonable cells groupings factor is deduced from the perspective of optimization to enhance the system performance. Simulations verify the proposed cell grouping factor.

RNAi-mediated Human Nestin Silence Inhibits Proliferation and Migration of Malignant Melanoma Cells by G1/S Arrest via Akt-GSK3β-Rb Pathway

Human Nestin（hNestin） has been found to express in melanoma, and its expression is positively correlated with the advanced stage of melanoma. However, the precise role of hNestin in the development of melanoma has not been fully understood. The present study aimed to explore the role of hNestin in the proliferation and invasion of melanoma cells. The lentivirus vector carrying a short hairpin RNAs（shRNAs） targeting hNestin（hNestin-sh RNA-LV） was stably infected into human melanoma cells UACC903, which expressed high levels of hNestin. The effects of hNestin knockdown on the proliferation, apoptosis, migration of melanoma cells and the related signaling pathways were investigated by immunofluorence, Western blotting and reverse transcription polymerase chain reaction（RT-PCR）, respectively. The results showed that hNestin was expressed in most melanoma specimens and the melanoma cells studied. Knockdown of hNestin expression significantly inhibited the proliferation of melanoma cells, blocked the formation of cell colony, arrested cell cycle at G1/S stage and suppressed the activation of Akt and GSK3β. hNestin-silent cells also showed a sheet-like appearance with tight cell-cell adhesion, decreased membrane expression of N-cadherin and β-catenin, and attenuated migration. Furthermore, hNestin silence resulted in the inhibition of tumor growth in vivo. Our study indicates that hNestin knockdown suppresses the proliferation of melanoma cells, which might be through affecting Akt-GSK3β-Rb pathway-mediated G1/S arrest, and hNestin silence inhibits the migration by selectively modulating the expression of cell adhesion molecules in the process of epithelial-mesenchymal transition.

Construction of Polymeric DNA Network and Application for Cell Manipulation

Comprehensive Summary Deoxyribonucleic acid(DNA)is a biomacromolecule,as well as a polymeric material,whose sequences with different manipulative structures enable them to implement a series of functions,such as reorganization,target,and catalysis.Compared to existing traditional materials incapable of multifunctional integration,the polymeric DNA network is a form of material that can achieve functional integration while maintaining specific DNA properties.Furthermore,precise target enabled by DNA network is one of the most essential components of cellular manipulation.Hence,the DNA network is indispensable and irreplaceable to cell manipulation that it is a versatile tool for the understanding of basic laws of living life and treatments of diseases,such as cell isolation,cell delivery,and cell interference.Herein,the construction of polymeric DNA network is briefly introduced from the aspects of assembly modules,construction methods,and properties.

Targeting c-Myc on cell growth and vascular endothelial growth factor expression in IN500 glioblastoma cells

Background The level of c-Myc is closely associated with high pathological grade and the poor prognosis of gliomas. Vascular endothelial growth factor （VEGF） is the most important angiogenic factor that potently stimulates the proliferation and migration of vascular endothelial cells. This study aimed to address the biological importance of c-Myc in the development of gliomas, we downregulated the expression of c-Myc in the human glioblastoma cell line IN500 and studied the in vitro effect on cellular growth, proliferation, and apoptosis and the expression of VEGF and the in vivo effect on tumor formation in a xenograft mouse model. Methods IN500A cells were stably transfected with shRNA-expressing plasmids for either c-Myc （pCMYC-shRNA） or as a control （pCtrl-shRNA）. Following establishment of stable cells, the mRNA expressions of c-Myc and VEGF were examined by reverse transcription （RT）-PCR, and c-Myc and VEGF proteins by Western blotting and immunohistochemistry. Cell-cycle progression and apoptosis were determined by flow cytometry. The in vivo effect of targeting c-Myc was determined by subcutaneous injection of stable cells into immunodeficient nude mice. Results The stable transfection of pCMYC-shRNA successfully knocked down the steady-state mRNA and protein levels of c-Myc in IN500, which positively correlated with the downregulation of VEGF. Downregulating c-Myc in vitro also led to G1-S arrest and enhanced apoptosis. In vivo, targeting c-Myc reduced xenograft tumor formation and resulted in significantly smaller tumors. Conclusions c-Myc has multiple functions in glioblastoma development that include regulating cell-cycle, apoptosis, and VEGF expression. Targeting c-Myc expression may be a promising therapy for malignant glioma.

Dynamic bias setting for range extension in LTE-advanced macro-pico heterogeneous networks

In co-channel deployment of macro cell and pico cells, cell range extension （RE）, a simple and typical cell association scheme, is introduced to achieve better load balancing and improve cell edge performance. In this article, a novel dynamic and distributed bias setting scheme is proposed for RE technique in macro-pico heterogeneous networks. In this strategy, the worst user throughput of each cell during an adjusting time interval T is obtained to change the bias values according to certain procedures, where an introduced indicator is used to freeze the possibility of increasing bias value if needed. Furthermore, silent state and coarse control process are employed to achieve low overheads and computational complexity. Simulation results show that the proposed scheme can greatly improve the cell-edge performance compared with the static bias setting strategies, while maintaining the overall cell performance at the same time.

RNA silencing movement in plants

Multicellular organisms, like higher plants, need to coordinate their growth and development and to cope with environmental cues. To achieve this, various signal molecules are transported between neighboring cells and distant organs to control the fate of the recipient cells and organs. RNA silencing produces cell non-autonomous signal molecules that can move over short or long distances leading to the sequence specific silencing of a target gene in a well defined area of cells or throughout the entire plant,respectively. The nature of these signal molecules, the route of silencing spread, and the genes involved in their production, movement and reception are discussed in this review. Additionally, a short section on features of silencing spread in animal models is presented at the end of this review.