Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: ,  study simplified algorithms for user scheduling in conjunction with receive antenna selection (RAS) for two downlink multiuser orthogonal space-division multiplexing techniques: block diagonalization (BD) and successive optimization (SO). Proposed algorithms select user and antenna subsets that maximize total por gain of the equivalent channel through mutual null-space projections of the active user channels. With this approach, algorithms add the best user at a time from the set of users not selected yet to the set of selected users until the desired number of users have been selected. To reduce the complexity further, users whose channel correlation to the signal subspace of the previously selected users is under some specified threshold are grouped at each step of the algorithm such that next user is selected from that group. This avoids the search through all K - i remaining users at the ith step of the algorithm. Two RAS algorithms are proposed, which further enhance the por gain of the equivalent channel by selecting a subset that contributes most towards the sum rate. For SO, user selection accounts for the interference of the previously selected users and maximizes the ratio of the total por of the equivalent channel to the approximate interference por on the desired signal subspace. Proposed algorithms perform close to the previously proposed algorithms with much less complexity.
['Shreeram Sigdel', 'Witold A. Krzymien']
I am writing a research paper on a idea Simplified Antenna Selection and User Scheduling for Orthogonal Space-Division Multiplexing
[{"from": "human", "value": "I am writing a research paper on a idea Simplified Antenna Selection and User Scheduling for Orthogonal Space-Division Multiplexing"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: ,  study simplified algorithms for user scheduling in conjunction with receive antenna selection (RAS) for two downlink multiuser orthogonal space-division multiplexing techniques: block diagonalization (BD) and successive optimization (SO). Proposed algorithms select user and antenna subsets that maximize total por gain of the equivalent channel through mutual null-space projections of the active user channels. With this approach, algorithms add the best user at a time from the set of users not selected yet to the set of selected users until the desired number of users have been selected. To reduce the complexity further, users whose channel correlation to the signal subspace of the previously selected users is under some specified threshold are grouped at each step of the algorithm such that next user is selected from that group. This avoids the search through all K - i remaining users at the ith step of the algorithm. Two RAS algorithms are proposed, which further enhance the por gain of the equivalent channel by selecting a subset that contributes most towards the sum rate. For SO, user selection accounts for the interference of the previously selected users and maximizes the ratio of the total por of the equivalent channel to the approximate interference por on the desired signal subspace. Proposed algorithms perform close to the previously proposed algorithms with much less complexity."}]