Reinforcement Learning and Heuristic Algorithms for Efficient Routing Protocols in Mobile Ad-Hoc Networks: An Advanced Approach

Nodes in mobile ad-hoc networks can freely roam and communicate with each other across a wireless network in their frequency range. The routes are not stable due to the dynamic topology. As a result, one of the primary challenges is

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Advanced Study on Capacity-Optimized AccessScheduling Control for Heterogeneous MANETs with MIMO Links

Multiple-input and multiple-output ( MIMO) technology can enhance the efficiency of transmission and bandwidth in wireless networks. Many upper layer aspects of MIMO links, however, need further study, especially in mobile networks with heterogeneous antennas and strong interference environments. We

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