TY - JOUR
T1 - Hybrid Power Line/Wireless Systems
T2 - An Optimal Power Allocation Perspective
AU - Filomeno, Mateus De L.
AU - De Campos, Marcello L.R.
AU - Poor, H. Vincent
AU - Ribeiro, Moises V.
N1 - Funding Information:
Manuscript received August 21, 2019; revised February 10, 2020 and May 29, 2020; accepted June 3, 2020. Date of publication June 22, 2020; date of current version October 9, 2020. This work was supported in part by Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) under Grant 001, in part by the Ministério da Educação (MEC) under Grant #852.893/2017, in part by Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq), in part by Instituto Nacional de Energia Elétrica (INERGE), in part by Fundação de Amparo à Pesquisa do Estado de Minas Gerais (FAPEMIG), and in part by the U.S. National Science Foundation under Grant CCF-0939370. The associate editor coordinating the review of this article and approving it for publication was M. Li. (Corresponding author: Mateus de L. Filomeno.) Mateus de L. Filomeno and Moisés V. Ribeiro are with the Electrical Engineering Department, Federal University of Juiz de Fora (UFJF), Juiz de Fora 36036-900, Brazil (e-mail: mateus.lima@engenharia.ufjf.br; mribeiro@engenharia.ufjf.br).
Publisher Copyright:
© 2002-2012 IEEE.
PY - 2020/10
Y1 - 2020/10
N2 - This paper investigates optimal power allocation in hybrid power line/wireless systems (HPWS). By adopting maximal-ratio combining (MRC) for the signals received from different channels, power allocation problems under sum power and sum power-channel constraints are formulated. These power constraints impose distinct bounds on the transmission power and, as a consequence, constitute different optimization problems. Therefore, two power allocation algorithms, which aim to maximize the achievable data rate in HPWS, are obtained. Furthermore, mathematical analyses show that data communication must employ only one medium per subchannel as the sum power constraint and frequency-selective channels are taken into account. Also, with high probability, the sum power-channel constraint results in the same conclusion with respect to the sole use of one medium per subchannel when the channels are frequency selective. In other words, MRC and selection-combining yield the same performance in terms of achievable data rate. Numerical analyses evaluate the proposed power allocation algorithms for exploiting the diversity between power line and wireless media by comparing them to alternative algorithms reported in the literature, especially when the total transmission power belongs to a practical range, and the attained results confirm their effectiveness and validate their usage in practical scenarios.
AB - This paper investigates optimal power allocation in hybrid power line/wireless systems (HPWS). By adopting maximal-ratio combining (MRC) for the signals received from different channels, power allocation problems under sum power and sum power-channel constraints are formulated. These power constraints impose distinct bounds on the transmission power and, as a consequence, constitute different optimization problems. Therefore, two power allocation algorithms, which aim to maximize the achievable data rate in HPWS, are obtained. Furthermore, mathematical analyses show that data communication must employ only one medium per subchannel as the sum power constraint and frequency-selective channels are taken into account. Also, with high probability, the sum power-channel constraint results in the same conclusion with respect to the sole use of one medium per subchannel when the channels are frequency selective. In other words, MRC and selection-combining yield the same performance in terms of achievable data rate. Numerical analyses evaluate the proposed power allocation algorithms for exploiting the diversity between power line and wireless media by comparing them to alternative algorithms reported in the literature, especially when the total transmission power belongs to a practical range, and the attained results confirm their effectiveness and validate their usage in practical scenarios.
KW - Hybrid system
KW - maximal-ratio combining
KW - power allocation
KW - power line communication
KW - wireless communication
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U2 - 10.1109/TWC.2020.3002451
DO - 10.1109/TWC.2020.3002451
M3 - Review article
AN - SCOPUS:85092766222
VL - 19
SP - 6289
EP - 6300
JO - IEEE Transactions on Wireless Communications
JF - IEEE Transactions on Wireless Communications
SN - 1536-1276
IS - 10
M1 - 9122404
ER -