Comparison of Different Frequency Channel Allocation Methods in ultra-dense networks
DOI:
https://doi.org/10.54097/hset.v27i.3817Keywords:
Frequency Allocation, IFR, SWF, tx-ITL, FFR.Abstract
The impact of information transmission on production and life under dense networking is self-evident. Dense networking application scenarios include airports, dense residential buildings, dense business districts and blocks, campuses, large gatherings, stadiums, subways, etc. However, with the increase of 5G frequency band, the 5G macro base station signal attenuates more when it penetrates the wall than 4G, which makes it difficult to cover indoor signals. The outdoor 5G macro base station signal can only provide shallow indoor coverage after penetrating obstacles such as brick walls, glass and cement, which cannot guarantee the good experience required for indoor deep coverage. This paper compares and discusses various channel allocation algorithms based on user scenarios in ultra-dense networks. By adjusting some parameters of 19 units, the integer frequency reuse (IFR) method (N=1,3), fractional frequency reuse (FFR) method, simultaneous water injection (SWF) method, and transmission interference temperature limit (TX-ITL) method are compared. In order to increase the capacity, a combination of several algorithms will also be used.
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References
Hu R Q, Qian Y. An energy efficient and spectrum efficient wireless heterogeneous network framework for 5G systems[J]. IEEE Communications Magazine, 2014, 52(5): 94-101.
Mahmud A, Hamdi K A. A unified framework for the analysis of fractional frequency reuse techniques[J]. IEEE Transactions on Communications, 2014, 62(10): 3692-3705.
Ling X, Wu B, Wen H, et al. Fast and efficient parallel‐shift water‐filling algorithm for power allocation in orthogonal frequency division multiplexing‐based underlay cognitive radios[J]. IET Communications, 2013, 7(12): 1269-1278.
Ren J, Wong K K. Cognitive radio made practical: Forward-lookingness and calculated competition[J]. IEEE Access, 2018, 7: 2529-2548.
Scutari G, Palomar D P, Barbarossa S. Simultaneous iterative water-filling for Gaussian frequency-selective interference channels[C]//2006 IEEE International Symposium on Information Theory. IEEE, 2006: 600-604.
Ren J, Wong K K, Khandaker M R A. Autonomous spectrum sharing by well-designed games[M]//Handbook of Cognitive Radio. Springer, Singapore, 2019: 449-499.
Deb P, Mukherjee A, De D. Fractional frequency reusebased frequency allocation for 5G HetNet using master–slave algorithm[J]. Physical Communication, 2020, 42: 101158.
Lam S C, Tran X N. Fractional frequency reuse in ultra dense networks[J]. Physical Communication, 2021, 48: 101433.
Fu Z, Zhou R. A smarter algorithm-IFR3+ FFR in wireless network to optimize frequency allocation[C]//Journal of Physics: Conference Series. IOP Publishing, 2021, 1903(1): 012034.
Liu S, Zheng X, Wang B. Analysis of the Capacity of Different Frequency Channel Allocation Method in the Simulated Amusement Park[C]//2021 International Conference on Wireless Communications and Smart Grid (ICWCSG). IEEE, 2021: 168-178.
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