Base Station Cooperation Technique Research Articles

Network-enabled MIMO systems with distributed data processing

Traditional network MIMO systems with joint data processing usually require a large amount of backhaul data and a central processing station with very high processing power. In order to address this problem, the capacity of access network with network-enabled MIMO systems with distributed data processing is investigated in this paper. A study of network throughput for a system with interference mitigation and base station cooperation techniques is given. We also propose a distributed iterative decoding network structure as an alternative of joint detection/decoding scheme with network-enabled MIMO configurations, where iterative signal processing is performed at network level. Simulation results show that, with the proposed schemes, the complexity of data processing required to compute the detection solution is restricted and the complexity is distributed across access base stations, which results in a significant reduction in complexity of signal processing in hub base stations.

Bee System Based Base Station Cooperation Technique for Mobile Cellular Networks

Mobility with high degree of network-facility is a mandatory attribute for better QoS in cellular networks, but it leads to a huge increment in energy consumption, a significant fraction of which related to the base stations within the service area. In this paper, we are introducing a base station cooperation technique for energy efficiency in mobile communication networks, and it is based on nature-inspired computing, especially the Bee system. All serving base stations within a given geographical area will work together to provide a better network experience to the mobile subscriber. In order to achieve this, base stations will check for availability of unutilized (or underutilized) bandwidth and if it is over a certain threshold, all base stations perform a re-reunion procedure to provide a uniform distribution of the consumed bandwidth (bandwidth load), thereby providing better service to users. We have formulated the proposed technique to determine the effectiveness, efficiency and scalability of work. Further we create a simulation setup for proposed algorithm using OPNET to implement a real time cellular networks. It has been observed that results of proposed work have sufficient improvement in energy efficiency at the base station with respect to traditional schemes.

Cell Edge Capacity Improvement by Using Adaptive Base Station Cooperation in Cellular Networks with Fractional Frequency Reuse

The present paper focuses on the application of the base station cooperation (BSC) technique in fractional frequency reuse (FFR) networks. Fractional frequency reuse is considered to be a promising scheme for avoiding the inter-cell interference problem in OFDMA cellular systems, such as WiMAX, in which the edge mobile stations (MSs) of adjacent cells use different subchannels for separate transmission. However, the problem of FFR is that the cell edge spectral efficiency (SE) is much lower than that of the cell center. The BSC technique, in which adjacent BSs perform cooperative transmission for one cell edge MS with the same channel, may improve the cell edge SE. However, since more BSs transmit signals for one cell edge MS, the use of BSC can also increase the inter-cell interference, which might degrade the network performance. In this paper, with a focus on this tradeoff, we propose an adaptive BSC scheme in which BSC is only performed for the cell edge MSs that can achieve a significant capacity increase with only a slight increase in inter-cell interference. Moreover, a channel reallocation scheme is proposed in order to further improve the performance of the adaptive BSC scheme. The simulation results reveal that, compared to the conventional FFR scheme, the proposed schemes are effective for improving the performance of FFR networks.