Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: ,  propose a low complexity heuristic algorithm for radio resource allocation in Orthogonal Frequency Division Multiple Access (OFDMA) systems based on subcarrier channel distribution information (CDI).  consider practical rate adaptation in which rate is adapted using a predefined set of modulation levels, which is in contrast to previous works that consider continuous rate.  formulate the problem of resource allocation in an OFDMA system with streaming traffic which requires a minimum guaranteed average rate, and elastic traffic with flexible rate requirements. The main objective is to maximize the total transmission rate of the elastic users, while average rate guarantees for streaming traffic as ll as maximum transmission por constraints are satisfied. To reduce the computational complexity,  decouple the resource allocation problem into two sub-problems corresponding to two traffic types. For streaming traffic,  optimally allocate subcarrier and por and then the remaining radio resources including the unassigned subcarriers and unallocated transmission por of the base station are optimally allocated to the elastic traffic.  then develop a heuristic algorithm based on Lagrangian method to obtain an approximation of the optimal solution. Using simulations,  study the impact of number of fading regions. Simulations also provides insight on the trade-off beten the number of streaming and elastic users.
['Nader Mokari', 'Mohammad Reza Javan', 'Keivan Navaie']
I am writing a research paper on a idea Resource Allocation Based on Channel Distribution Information for Elastic and Streaming Traffic in OFDMA Networks: A Heuristic Algorithm
[{"from": "human", "value": "I am writing a research paper on a idea Resource Allocation Based on Channel Distribution Information for Elastic and Streaming Traffic in OFDMA Networks: A Heuristic Algorithm"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: ,  propose a low complexity heuristic algorithm for radio resource allocation in Orthogonal Frequency Division Multiple Access (OFDMA) systems based on subcarrier channel distribution information (CDI).  consider practical rate adaptation in which rate is adapted using a predefined set of modulation levels, which is in contrast to previous works that consider continuous rate.  formulate the problem of resource allocation in an OFDMA system with streaming traffic which requires a minimum guaranteed average rate, and elastic traffic with flexible rate requirements. The main objective is to maximize the total transmission rate of the elastic users, while average rate guarantees for streaming traffic as ll as maximum transmission por constraints are satisfied. To reduce the computational complexity,  decouple the resource allocation problem into two sub-problems corresponding to two traffic types. For streaming traffic,  optimally allocate subcarrier and por and then the remaining radio resources including the unassigned subcarriers and unallocated transmission por of the base station are optimally allocated to the elastic traffic.  then develop a heuristic algorithm based on Lagrangian method to obtain an approximation of the optimal solution. Using simulations,  study the impact of number of fading regions. Simulations also provides insight on the trade-off beten the number of streaming and elastic users."}]