Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: In the OFDMA-based downlink of wireless communication networks, in order to counteract the strong influence of multi-cell interference on the cell edge users, the so-called fractional por loading strategy was proposed. The key idea is to divide the whole frequency band into two parts, one part has lor transmission por, the other has higher transmission por and is orthogonal in the neighboring cells. With such por allocation, a natural thinking is to schedule the cell edge users onto the high por band, and to schedule the cell center users onto the other. Such strategy leads to the partitioning of users into the cell center/edge user groups.  proposes a way to do dynamic user grouping, and compares the cell performance for elastic traffic, with and without the user grouping. Extensive system level simulations with multi-channel proportional fair scheduler are conducted to reveal the effect of user grouping on the scheduler performance and QoS fulfillment.
['Yikang Xiang', 'Jijun Luo', 'Carmelita Görg']
I am writing a research paper on a idea Performance Impact of User Grouping on Fractional Power Loading in the OFDMA Downlink
[{"from": "human", "value": "I am writing a research paper on a idea Performance Impact of User Grouping on Fractional Power Loading in the OFDMA Downlink"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: In the OFDMA-based downlink of wireless communication networks, in order to counteract the strong influence of multi-cell interference on the cell edge users, the so-called fractional por loading strategy was proposed. The key idea is to divide the whole frequency band into two parts, one part has lor transmission por, the other has higher transmission por and is orthogonal in the neighboring cells. With such por allocation, a natural thinking is to schedule the cell edge users onto the high por band, and to schedule the cell center users onto the other. Such strategy leads to the partitioning of users into the cell center/edge user groups.  proposes a way to do dynamic user grouping, and compares the cell performance for elastic traffic, with and without the user grouping. Extensive system level simulations with multi-channel proportional fair scheduler are conducted to reveal the effect of user grouping on the scheduler performance and QoS fulfillment."}]