Abstract
This work organizes and discusses important information on resource allocation in power line communication (PLC) systems based on the Hermitian symmetric orthogonal frequency-division multiplexing scheme. In the context of this work, the term resource refers to bits and transmission power, which can be optimally or sub-optimally allocated to subcarriers on the basis of the knowledge of the normalized signal-to-noise ratio (nSNR) of power line subchannels. In this sense, we thoroughly discuss the formulation of the resource allocation for PLC systems and accordingly derive expressions for the nSNR as well as bit and transmission power allocation in all subchannels. Additionally, we precisely detail greedy algorithms to assist practitioners and researchers in the implementation of the resource allocation procedure. Considering a frequency-selective PLC channel corrupted by additive colored Gaussian noise as well as M-ary pulse amplitude modulation and quadrature amplitude modulation as modulation schemes, the influence of the gap from the Shannon capacity curve on symbol error rate probability is discussed. On top of the carried out discussion, numerical results are presented in order to emphasize the usefulness of a proper comprehension of this subject.
Highlights
Digital communication technologies have been growing rapidly in the last decades due to factors such as the adoption of multicarrier schemes [1], [2], which optimize data transmission over frequency-selective channels
Wired digital communication systems such as power line communication (PLC) [3]–[5] and digital subscriber line (DSL) systems are the ones that benefit from the so-called Hermitian symmetric orthogonal frequency-division multiplexing (OFDM) (HS-OFDM) scheme [1] or discrete multitone modulation (DMT), which is the baseband version of the OFDM scheme
The frequency selectivity of such channel and the power spectral density (PSD) of the additive noise can by optimally handled by the HS-OFDM scheme via a resource allocation procedure, which consists of efficiently allocating the available transmission power and bits among the available subcarriers
Summary
Digital communication technologies have been growing rapidly in the last decades due to factors such as the adoption of multicarrier schemes [1], [2], which optimize data transmission over frequency-selective channels. Besides performing an optimization in the sense of transmission power or data rate, the solution of a resource allocation problem can aim to guarantee quality of service (QoS) and communication reliability, which can be accomplished by imposing an SER upper bound, among other constraints such as bit error rate (BER) upper bounds In this context, several works in the literature carried out discussions on resource allocation in OFDM-based digital communication systems [2], [6], [13], [29]–[43]. The most common issues are the misuse of power and energy concepts and the inconsistency of nomenclatures In this sense, this work presents a complete and comprehensive discussion on the resource allocation procedure for PLC systems, addressing the most common issues related to it and dealing with the aspects of SER constraint, as well as data rate maximization for RA problems and total transmission power minimization for MA problems.
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