Macro Networks using 5G and mobile network Technology

We offer state-of-the-art algorithms and network architectures designed to optimize performance, enhance scalability, and enable efficient resource allocation in complex network environments.

OUR TECHNOLOGY

Our Algorithm Networks Intelligent Networks solutions offer state-of-the-art algorithms and network architectures designed to optimize performance, enhance scalability, and enable efficient resource allocation in complex network environments. Our advanced technologies provide intelligent routing, traffic management, and adaptive decision-making capabilities, ensuring seamless and reliable network operations.

MANAGED INFORMATION SYSTEMS

Our Algorithm Networks Intelligent Networks solutions offer state-of-the-art algorithms and network architectures designed to optimize performance, enhance scalability, and enable efficient resource allocation in complex network environments. Our advanced technologies provide intelligent routing, traffic management, and adaptive decision-making capabilities, ensuring seamless and reliable network operations.

DISTRIBUTED ANTENNA SYSTEM

We offer state-of-the-art algorithms and network architectures designed to optimize performance, enhance scalability, and enable efficient resource allocation in complex network environments.

Distributed Antenna System

Design and delivery of Distributed Antenna Systems (DAS) networks involve a combination of algorithmic considerations and network planning. DAS networks are used to enhance wireless coverage and capacity in areas with high user density or challenging RF environments, such as stadiums, airports, or large buildings. Let’s explore the key aspects involved in the algorithm networks design and delivery of DAS networks:

Network Planning

  • RF Survey: Conduct a comprehensive survey to identify areas with weak coverage, dead zones, and high user density. This survey involves analyzing existing network performance, signal strength measurements, and interference levels.
  • Capacity Analysis: Determine the expected capacity requirements based on the number of users, their anticipated data usage, and projected network growth.
  • Coverage Design: Develop a coverage design plan that includes the location and number of antennas, cable routing, and equipment placement.
  • Interference Management: Identify potential sources of interference and design strategies to mitigate them, such as frequency planning and antenna isolation.

DAS Architecture

  • System Selection: Choose the appropriate DAS architecture based on the network requirements, including passive, active, or hybrid systems.
  • Central Unit Design: Determine the location and specifications of the central unit responsible for signal processing, monitoring, and control.
  • Remote Unit Placement: Strategically position remote units to maximize coverage and minimize cable losses.
  • Fiber Optic Infrastructure: Plan the fiber optic cabling infrastructure to connect the central unit, remote units, and antennas, ensuring optimal signal transmission.

Algorithm Networks Design

  • Signal Processing: Develop algorithms to optimize the received signal quality and minimize interference, including equalization, noise cancellation, and interference rejection techniques.
  • Power Control: Implement power control algorithms to adjust the transmit power of each remote unit and antenna based on signal strength measurements and network conditions.
  • Handover Management: Design algorithms to manage seamless handovers between antennas or sectors, ensuring uninterrupted service as users move within the coverage area.
  • Load Balancing: Develop load balancing algorithms to distribute traffic evenly across antennas and sectors, optimizing network performance and user experience

Delivery and Deployment

  • Equipment Installation: Install the DAS equipment, including central units, remote units, antennas, and fiber optic cables, following the design specifications.
  • Testing and Optimization: Conduct comprehensive testing and optimization procedures to verify network performance, coverage, and capacity. This may involve adjusting antenna orientations, optimizing power levels, and fine-tuning algorithms.
  • Network Integration: Integrate the DAS network with the existing wireless infrastructure, such as macro base stations or small cells, to ensure seamless operation and efficient handovers.
  • Monitoring and Maintenance: Establish monitoring systems to continuously monitor network performance, detect issues, and perform regular maintenance tasks to ensure optimal operation.
Overall, the design and delivery of DAS networks require a multidisciplinary approach, combining RF engineering, network planning, algorithm design, and meticulous deployment. The goal is to provide robust and high-quality wireless coverage to meet the demands of modern wireless communication.