Title | ||
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Resource and Computationally Efficient Subchannel Allocation for D2D in Multi-Cell Scenarios With Partial and Asymmetric CSI |
Abstract | ||
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In underlay device-to-device (D2D) communication, assigning more D2D pairs to a subchannel can increase the spectral efficiency but it also increases the inter-D2D interference and causes interference to the cellular users (CUs). We consider the assignment of at most
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D2D pairs per subchannel in a multi-cell scenario with multiple uplink subchannels. We propose a
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-bit quantized feedback and resource allocation model that provides a quality-of-service guarantee to the CUs and ensures that the rates assigned by the base station (BS) to the D2D pairs can be decoded with a pre-specified outage probability even with unknown inter-cell and inter-D2D interferences. We propose a novel, polynomial-time, cardinality-constrained subchannel assignment algorithm (CCSAA) that applies for any
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and achieves at least 1/2 and 1/3 of the optimal D2D sum throughput for
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and
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bits, respectively. We also propose an alternate cardinality-constrained locally greedy algorithm (CCLGA) that has an even lower complexity and is just as effective in practice. We present a rate upgradation step that exploits the inherent asymmetry in the channel state information at the BS and D2D users to improve spectral efficiency. Our approach also addresses a novel extension to dynamic two-way D2D communications. |
Year | DOI | Venue |
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2019 | 10.1109/TWC.2019.2939131 | IEEE Transactions on Wireless Communications |
Keywords | Field | DocType |
Device-to-device communication,Interference,Copper,Resource management,Signal to noise ratio,Throughput,Heuristic algorithms | Computer network,Mathematics,Distributed computing | Journal |
Volume | Issue | ISSN |
18 | 12 | 1536-1276 |
Citations | PageRank | References |
1 | 0.35 | 0 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Bala Venkata Ramulu Gorantla | 1 | 1 | 0.35 |
Neelesh B. Mehta | 2 | 979 | 82.27 |