Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  considers optimal cross-layer rate control, scheduling design and por control for multi-hop wireless networks. The problem of optimal rate control, link scheduling, and link transmission por for all active time slot is formulated as a network utility maximization problem. In wireless multi-hop networks, the link capacity is a function of link scheduling and transmission por with time-varying and nonlinear properties. Those characteristic poses much challenge in joint design. To solve the non-convex and non-separable nonlinear program problem, a two time-scale distributed optimization approach is presented. By dual decomposition and gradient method, the NUM problem naturally decomposes into three subproblems: congestion control, scheduling design and por control. They interact through congestion price. The global convergence of this algorithm is proven.  presents a step towards a systematic approach to jointly design TCP congestion control algorithms, scheduling design and por control.
['Chengnian Long', 'Xinping Guan', 'Bo Li']
I am writing a research paper on a idea Cross-Layer Congestion Control, Scheduling and Power Control Design in Multihop Networks with Random Access
[{"from": "human", "value": "I am writing a research paper on a idea Cross-Layer Congestion Control, Scheduling and Power Control Design in Multihop Networks with Random Access"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  considers optimal cross-layer rate control, scheduling design and por control for multi-hop wireless networks. The problem of optimal rate control, link scheduling, and link transmission por for all active time slot is formulated as a network utility maximization problem. In wireless multi-hop networks, the link capacity is a function of link scheduling and transmission por with time-varying and nonlinear properties. Those characteristic poses much challenge in joint design. To solve the non-convex and non-separable nonlinear program problem, a two time-scale distributed optimization approach is presented. By dual decomposition and gradient method, the NUM problem naturally decomposes into three subproblems: congestion control, scheduling design and por control. They interact through congestion price. The global convergence of this algorithm is proven.  presents a step towards a systematic approach to jointly design TCP congestion control algorithms, scheduling design and por control."}]