Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: , system design for a multiple-input–multiple-output (MIMO) relay broadcast channel with individual signal-to-interference-plus-noise ratio (SINR) constraints at mobile stations (MSs) is considered. By exploring the structure of downlink–uplink duality at either the base station (BS) or the relay station (RS),  propose two schemes of joint por allocation and beamforming design at the BS and the RS. The problem of the existence of feasible solutions under practical por constraints at the BS and the RS with given SINR targets is considered first. Then, the problem of sum por minimization is considered. Each design problem can be efficiently solved using optimal joint por allocation and beamforming under the framework of convex optimization.  also show that with subchannel pairing at the RS, the transmission por can be further reduced. Finally, a generalization to the multihop scenario is provided to further improve por efficiency.
['Chun-Che Chien', 'Hsuan-Jung Su', 'Hsueh-Jyh Li']
I am writing a research paper on a idea Joint Beamforming and Power Allocation for MIMO Relay Broadcast Channel With Individual SINR Constraints
[{"from": "human", "value": "I am writing a research paper on a idea Joint Beamforming and Power Allocation for MIMO Relay Broadcast Channel With Individual SINR Constraints"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: , system design for a multiple-input\u2013multiple-output (MIMO) relay broadcast channel with individual signal-to-interference-plus-noise ratio (SINR) constraints at mobile stations (MSs) is considered. By exploring the structure of downlink\u2013uplink duality at either the base station (BS) or the relay station (RS),  propose two schemes of joint por allocation and beamforming design at the BS and the RS. The problem of the existence of feasible solutions under practical por constraints at the BS and the RS with given SINR targets is considered first. Then, the problem of sum por minimization is considered. Each design problem can be efficiently solved using optimal joint por allocation and beamforming under the framework of convex optimization.  also show that with subchannel pairing at the RS, the transmission por can be further reduced. Finally, a generalization to the multihop scenario is provided to further improve por efficiency."}]