Performance of power control in inter-cell interference coordination for frequency reuse

To mitigate inter-cell interference in 3G evolution systems, a novel inter-cell interference coordination scheme called soft fractional frequency reuse is proposed in this article, which enables to improve the data rate in cell-edge. On this basis, an inter-cell power control is presented for the inter-cell interference coordination, and the inter-cell balanced signal to interference plus noise ratio （SINR） among users is established for power allocation, which enables mitigation of inter-cell interference. Especially, the power control is based on a novel exponential kernel arithmetic kernel equations. Numerical results show that the proposed rate compared to the existing power control algorithms. equation at higher convergence speed than the traditional scheme improves the throughput and reduces the blocking

Resource allocation based on sealed-bid auction algorithm in pervasive computing

Pervasive computing, which requires applications composed of independent and distributed components, is an important domain for dynamic ubiquitous heterogeneous environment. However, one of the critical challenges it faces is resource allocation. To overcome the difficulty, enhanced universal service terminal （UST＋） is designed as a reflective middleware combined distributed components with particular features to achieve user goals. Moreover, a novel algorithm based on microeconomics is presented to resolve conflicting resource allocation and is implemented on top of the UST＋. Besides, an example outlines how this algorithm is used in pervasive computing, and the simulation results illustrate that the proposed mechanism can achieve high performance at low cost.

Stackelberg game theoretic pricing algorithm for bandwidth allocation in cooperative access

Cooperative access among user devices by sharing wireless access bandwidth opens a new paradigm in heterogeneous networks. However, how to stimulate cooperative relay nodes forwarding service data for others and allocating corresponding bandwidth to support it are two key issues in the cooperative access. This paper proposes a Stackelberg game based framework which is benefit participants including relay nodes and client nodes. This framework generalizes the pricing based bandwidth allocation algorithm by the Stackelberg game model, which optimizes the profit of the cooperative relay nodes while guaranteeing the bandwidth requirements of client nodes, We transform the profit maximization problem into a convex problem and solve it using the convex optimization method. The simulation results demonstrate that the proposed framework and corresponding algorithms outperform the bidding weight proportional fairness and fixed value bandwidth allocation ones significantly.