2014 Fiscal Year Annual Research Report
Dynamic Resource Allocation for 5G Green HetNet
Project/Area Number |
25889004
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Research Institution | Tohoku University |
Principal Investigator |
メホボドニヤ アボルファズル 東北大学, 工学(系)研究科(研究院), 助教 (80700210)
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Project Period (FY) |
2013-08-30 – 2015-03-31
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Keywords | resource allocation / fairness / 5G / uplink / scheduling |
Outline of Annual Research Achievements |
We studied the user scheduling and resource block allocation problem in uplink single input multiple output (SIMO) single carrier frequency division multiple access (SC-FDMA) system. An analytic model for SIMO SC-FDMA system signal processing at the transmitter and receiver was first presented. Later, we used this model to derive the users's signal to interference noise ratio (SINR) and then the system spectral efficiency. In order to design a low complexity algorithm for user scheduling, we first showed the relationship between the user's received array correlation and the uplink SIMO SC-FDMA system spectral efficiency. Then we argued that grouping the users based on their received array correlation can improve the overall spectral efficiency, while keeping the scheduling algorithm less complex without the need for performing a full search. For instance, our results show that our proposed scheduling technique improves the total spectral efficiency for about 10% when an optimum number of 8 resource blocks is considered with 18 users in the system. Moreover, we proposed similar algorithm which is capable of controlling the system fairness as well. However, This algorithm works for the scenarios with no multi-user interference (MUI) in the system. Finally, we further developed our model for the case of imperfect channel state information (CSI) by introducing a pilot signal structure for uplink. This method uses interpolation to estimate the channel. Simulation results show that our algorithm improves the spectral efficiency considerably, even under imperfect CSI conditions.
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Research Progress Status |
26年度が最終年度であるため、記入しない。
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Strategy for Future Research Activity |
26年度が最終年度であるため、記入しない。
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