Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  investigate the multicast of layered multimedia content in single hop cognitive radio (CR) networks and ways of improving the subscriber utility. The proposed unified opportunistic scheduling (UOS) aggressively utilizes diversity potential present in CR by exploiting  two  types of multiuser diversity (MUD), one beten   multicast groups  and another beten data stream  subscribers  in a group. As a result, the resource usage efficiency is significantly increased, and better utility can be achieved. According to derived effective average subscriber throughput under unified MUD, a scheduling algorithm is designed to approach the theoretical throughput improvement.  specifically introduce controlled competition beten multicast groups to balance the increasing resource efficiency and the risk of overstretching the limited available spectrum. The algorithm combines prioritization, rateless coding, and data fragmentation to inherently cope with dynamic spectrum availability in CR. The presented simulation results show improved performance in various situations in comparison to other schemes not taking full advantage of the present MUD potential.
['Pavol Polacek', 'Chih-Wei Huang', 'Jia-Wei Chiang']
I am writing a research paper on a idea Unified Opportunistic Scheduling for Layered Multicast over Cognitive Radio Networks
[{"from": "human", "value": "I am writing a research paper on a idea Unified Opportunistic Scheduling for Layered Multicast over Cognitive Radio Networks"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  investigate the multicast of layered multimedia content in single hop cognitive radio (CR) networks and ways of improving the subscriber utility. The proposed unified opportunistic scheduling (UOS) aggressively utilizes diversity potential present in CR by exploiting  two  types of multiuser diversity (MUD), one beten   multicast groups  and another beten data stream  subscribers  in a group. As a result, the resource usage efficiency is significantly increased, and better utility can be achieved. According to derived effective average subscriber throughput under unified MUD, a scheduling algorithm is designed to approach the theoretical throughput improvement.  specifically introduce controlled competition beten multicast groups to balance the increasing resource efficiency and the risk of overstretching the limited available spectrum. The algorithm combines prioritization, rateless coding, and data fragmentation to inherently cope with dynamic spectrum availability in CR. The presented simulation results show improved performance in various situations in comparison to other schemes not taking full advantage of the present MUD potential."}]