Spectral Efficiency Final Year Projects with Source Code

Spectral Efficiency Final Year Projects for BE, BTech, ME, MSc, MCA and MTech final year engineering students. These Spectral Efficiency projects give practical experience and help complete final-year submissions. All projects follow IEEE standards and each project includes source code, project thesis report, presentation, project execution and explanation.

Spectral Efficiency Final Year Projects

  1. IoT Underlying Cellular Uplink Through D2D Communication Principle
    This project explores a way for Internet of Things (IoT) devices to communicate directly with each other, instead of always using the main cellular network. The idea is to reduce network congestion by letting nearby devices share data efficiently. The researchers propose a method to manage communication channels and device power. Their results show that IoT traffic can be handled well without affecting the main cellular network.
  2. A2T-Boost An Adaptive Cell Selection Approach for 5G SDN-Based Vehicular Networks
    This project focuses on improving 5G networks in crowded urban areas with many types of base stations. It proposes a smart method that helps mobile devices choose the best base station, using machine learning and software-defined networking. Tests in downtown Los Angeles show it reduces connection switches, improves data speed and energy use, and lowers network delays. The approach makes network performance more reliable for both vehicles and pedestrians.
  3. Efficient Cluster Heads Selection Based on Index-Modulation in Wireless Sensor Networks
    This project improves wireless sensor networks by making data collection more efficient and fair. It introduces a new method called index-shift, which balances the work among sensor nodes. This reduces energy waste and extends the network’s lifetime by up to 50%. The method also improves decision accuracy compared to older approaches.
  4. Resource Allocation in Multi-Cluster Cognitive Radio Networks With Energy Harvesting for Hybrid Multi-Channel Access
    This project studies a wireless network where secondary users can share the radio spectrum with primary users while also harvesting energy from their signals. The goal is to improve data rates and energy efficiency without causing interference to primary users. The system decides how long to sense the spectrum and how much power to use to maximize energy efficiency. Simulations show the new method performs better than existing approaches, balancing data throughput and energy use.
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Spectral Efficiency Project Synopsis & Presentation

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