Channel-aware energy allocation for throughput maximization in massive low-rate multiple access
Document typeConference report
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Rights accessOpen Access
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.
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CitationF. 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.
- SPCOM - Grup de Recerca de Processament del Senyal i Comunicacions - Ponències/Comunicacions de congressos 
- Doctorat en Teoria del Senyal i Comunicacions - Ponències/Comunicacions de congressos 
- Departament de Teoria del Senyal i Comunicacions - Ponències/Comunicacions de congressos [3.026]
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