Channel-aware energy allocation for throughput maximization in massive low-rate multiple access
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Cita com:
hdl:2117/172073
Tipus de documentText en actes de congrés
Data publicació2019
EditorInstitute of Electrical and Electronics Engineers (IEEE)
Condicions d'accésAccés obert
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Abstract
A multiple access (MA) optimization technique for massive low-rate direct-sequence spread spectrum communications is analyzed in this work. A dense network of users transmitting at the same rate to a common central node under channelaware energy allocation is evaluated. At reception, successive interference cancellation (SIC) aided by channel decoding is adopted. Our contribution focuses on wireless scenarios involving a vast number of users for which the provided user-asymptotic model holds. Variational calculus (VC) is employed to derive the energy allocation function that, via user-power imbalance, maximizes the network spectral efficiency (SE) when perfect channel state information at transmission (CSIT) is available and both average and maximum per-user energy constraints are set.
Monte Carlo simulations at chip-level of a SIC receiver using a real decoder assess the proposed optimization method.
Descripció
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CitacióF. Molina [et al.]. Channel-aware energy allocation for throughput maximization in massive low-rate multiple access. A: IEEE International Conference on Communications. "ICC 2019: 2019 IEEE International Conference on Communications (ICC 2019): Shanghai, China: 20-24 May 2019". Institute of Electrical and Electronics Engineers (IEEE), 2019, p. 1-6.
ISBN978-1-5386-8089-6
Versió de l'editorhttps://ieeexplore.ieee.org/document/8761084
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IEEE_ICC2019_Molina_AcceptedVersion.pdf | 1,661Mb | Visualitza/Obre |