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Centralized Dynamic-Time Division Duplex Utilizing Interference Alignment

delete2021-10-01
delete6
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OA
AI
M
Mojtaba Ghermezcheshmeh *
M
Mohsen Mohammadkhani Razlighi
V
Vahid Shah‐Mansouri
N
Nikola Zlatanov
DOI:10.1109/TWC.2021.3077250delete
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Abstract

Abstract

En 中文
In this paper, we combine centralized dynamic-time division duplex (D-TDD) with interference alignment (IA) for a wireless network comprised of N full duplex nodes. We maximize the performance of the proposed centralized D-TDD scheme utilizing IA in terms of rate region by optimizing the reception, transmission, simultaneous reception and transmission, and silence at each node in each time slot in addition to the choice of whether a node should treat the interference as noise or it should use IA. The problem of the rate region maximization of the wireless network is formulated as a non-convex optimization problem, whose optimal solution is found. The simulation results demonstrate that the proposed centralized D-TDD scheme utilizing IA achieves significant gains over the existing D-TDD schemes.
Keywords:
Dynamic TDD
centralized network
interference alignment
self-interference
adaptive scheduling
half-duplex
full-duplex
sum-rate
rate region
AI Summary

AI Summary

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Journal

IEEE Transactions on Wireless Communications cover
IEEE Transactions on Wireless Communications
IF:
10.7
Papers:
1.3W
Citations:
5.3W

Organization

U
University of Tehran
Scholars:
2.4W
Papers: 2.3W
Citations: 2.7W
M
Monash University
Scholars:
5.4W
Papers: 5.4W
Citations: 79