Yueyun Chen

A Differential Game Model of Automatic Load Balancing in LTE Networks

In this paper, load balancing problem is investigated and a new game theory automatic load balancing scheme in LTE networks is proposed based on non-cooperative differential game. Optimal load allocated to each cell is formulated as a Nash Equilibrium in this paper. It is proved that the non-cooperative differential game algorithm is applicable and the optimal load solution can be achieved. Simulation results show that system capacity is increased and load unbalancing caused inappropriate load allocation is decreased.

Resource allocation based on dynamic hybrid overlay/underlay for heterogeneous services of cognitive radio networks

In cognitive radio networks (CRNs), hybrid overlay and underlay sharing transmission mode is an effective technique to improve the efficiency of radio spectrum. Unlike existing works in literatures where only one secondary user (SU) uses both overlay and underlay mode, the different transmission modes should dynamically be allocated to different SUs according to their different quality of services (QoS) to achieve the maximal efficiency of radio spectrum. However, dynamic sharing mode allocation for heterogeneous services is still a great challenge in CNRs. In this paper, we propose a new resource allocation method based on dynamic allocation hybrid sharing transmission mode of overlay and underlay (Dy-HySOU) to obtain extra spectrum resource for SUs without interfering with the primary users. We formulate the Dy-HySOU resource allocation problem as a mixed-integer programming to optimize the total system throughput with simultaneous heterogeneous QoS guarantee. To decrease the algorithm complexity, we divide the problem into two sub-problems: subchannel allocation and power allocation. Cutset is used to achieve the optimal subchannel allocation, and the optimal power allocation is obtained by Lagrangian dual function decomposition and subgradient algorithm. Simulation results show that the proposed algorithm further improves spectrum utilization with simultaneous fairness guarantee, and the achieved Dy-HySOU diversity gain is satisfying.

Detecting Primary User Emulation Attacks Based on PDF-BP Algorithm in Cognitive Radio Networks

Cognitive radio networks (CRNs) are vulnerable to various attacks. Primary user emulation attack (PUEA) is one kind of serious attacks. In order to combat PUEA, we propose an algorithm to detect PUEA in CRNs based on probability density function (PDF) assisted by belief propagation (BP), called PDF-BP. In the proposed algorithm, every secondary user (SU) calculates its belief value based on the PDF of the received signals and exchanges messages equally without the help of location information of primary user (PU) and extra expense on hardware and each SU makes a decision according to its belief value. Simulation results show that the proposed algorithm has detected the PUE attacker effectively.

A Hierarchical Name System Based on Hybrid P2P for Data-Centric Networks

Data-centric network plays an important part in the next generation network architecture. And name system is one of basic elements in data-centric network. This paper describes an approach which achieves the name system design criterion. In naming, a combination of three entities is used to achieve security, scalability, and flexibility. In name resolution, a three-layer structure is proposed to achieve precise and semantic resolutions.

A research for millimeter wave patch antenna and array synthesis

Millimeter-wave antennas are one of the key parts in 5G systems due to its useful properties such as ultra wideband and high transmission rate. In this paper, the research of microstrip millimeter wave patch antenna at 28 GHz is proposed. The resonant frequency of microstrip antenna is shifted to the expanding bandwidth through slotting the patch. Meanwhile, adding punish function to fitness function is proposed to develop the bandwidth and improve the resonant frequency to desired frequency. The slot position is obtained by the genetic algorithm (GA). Furthermore, by using the numerical array synthesis, a linear uniformly spaced array model with feed network is obtained. The array with better radiation pattern is obtained through GA. The simulation results show that the bandwidth is improved from 0.9 to 1.25 GHz while the resonant frequency is remained at 28 GHz with the help of the proposed punish function. The side-lobe level is lowered by 4 dB and the maximum antenna gain is improved to 0.4 dB at the cost of 1° wider of half-power (HP) beamwidth.

Low complexity hybrid precoding for mmWave Massive MIMO systems

Massive MIMO has the advantage of providing excellent multiplexing/diversity gain and data rate due to the large antenna array equipped at the BS or UEs. However, the high hardware cost and computational complexity limit the practical implementation of large antenna array. In this paper, we formulate a Minimum Mean Square Error (MMSE) based optimization model under the partially-connected structure to reduce the hardware cost, and propose a low complexity hybrid precoding algorithm based on the Particle Swarm Ant Colony Optimization (HP-PSACO). Simulation results show that the proposed algorithm with low computational complexity achieves higher energy efficiency than the fully digital baseband precoding.

Hierarchical name system based on hybrid P2P for multimedia networks

Multimedia networks distribute multimedia resources to end users who can enjoy movie, music or photo via this platform. The name system is one of the most important elements in multimedia networks, for it defines how to name a resource and how to find it. Borrowing the idea of data-centric networking, this paper describes an approach which achieves the name system design criterion. In naming, a combination of three entities is used to achieve security, scalability, and flexibility. In name resolution, a three-layer structure is proposed to achieve precise and semantic resolutions. Then replication and cache scheme is proposed, and retrieval latency is analyzed. Numerical simulation shows the performance of designed name system.

Self-optimization of resource allocation in cooperative relay networks

In this paper, a self-optimization model for resource allocation in cooperative relay networks based on game theory is proposed. Every node in the networks can work as a relay node for cooperative communication in the proposed model,. Both the source node and the relay node in the transmission are willing to achieve an optimal power allocation to increase system performance and transmit profits. Simulation results indicate that the self-optimized solutions can be achieved and resource used as relaying for others can be self-configured.

New Trend of Network: Wisdom

With the continuous development of high and new technology, network with wisdom will become the trend of network development. In this paper, we propose a novel architecture for network with wisdom based on the challenges faced existing network, and measure the wisdom of network.

A Shannon's Theory of Wisdom Internet

Internet is so popular that nearly everybody using it every day. Current Internet shows some characteristics of intelligent. For example, it can help people find the proper resources using semantic search. So this paper focuses on the wisdom of Internet. Firstly, the definition and relationship among information, knowledge and wisdom are introduced. Then, the definition of Internet information, Internet knowledge and Internet wisdom is proposed. Internet information follows the Shannons theory on information. Internet knowledge is the set of Internet abilities, such as reliability, security, mobility. Internet wisdom is the overall performance of Internet for a certain event. Lastly, using the Shannons on information entropy, the quantification process is brought out to quantify the three elements that we have defined.