Title | ||
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Joint User Scheduling, Precoder Design, and Transmit Direction Selection in MIMO TDD Small Cell Networks |
Abstract | ||
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New short-length single-direction frame structures are proposed for 5G time division duplex (TDD) systems, where the transmit direction [i.e., either downlink (DL) or uplink (UL)] can be independently chosen at each cell in every frame. Accordingly, high flexibility is provided to match the per-cell DL/UL traffic asymmetries and full exploitation of dynamic TDD is allowed. As a downside, interference management becomes crucial. In this regard, this paper proposes a procedure for dynamic TDD in dense multiple-input multiple-output small cell networks, where the transmit direction selected per small cell (SC) is dynamically optimized together with the user scheduling and transmit precoding. We focus on the maximization of a general utility function that takes into account the DL/UL traffic asymmetries of each user and the interference conditions in the network. Although the problem is non-convex, it is decomposed thanks to the interference-cost concept and then efficiently solved in parallel. Simulation results show gains in DL and UL average rates for different traffic asymmetries and SC/user densities as compared to existing dynamic TDD schemes thanks to the proposed joint optimization. The gains become more significant when there is high interference and limited number of antennas. |
Year | DOI | Venue |
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2017 | 10.1109/TWC.2017.2664837 | IEEE Trans. Wireless Communications |
Keywords | Field | DocType |
Interference,Long Term Evolution,MIMO,5G mobile communication,Periodic structures,Dynamic scheduling,Optimization | Scheduling (computing),MIMO,Real-time computing,Interference (wave propagation),Small cell,Dynamic priority scheduling,Maximization,Mathematics,Precoding,Telecommunications link | Journal |
Volume | Issue | ISSN |
16 | 4 | 1536-1276 |
Citations | PageRank | References |
2 | 0.36 | 21 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Sandra Lagen | 1 | 78 | 11.36 |
Adrian Agustin | 2 | 487 | 53.41 |
J. Vidal | 3 | 636 | 66.15 |