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ISI Mitigation Techniques in Molecular Communication
Emerging Technologies · Submitted 30 Oct 2014
abstract compiled · 2026-09-23 · no language-model review
The authors' main claim The error performance of DFF and MMSE equalizers are compared in terms of bit error rates, and it is concluded that DFF may be more advantageous when energy efficiency is concerned, due to its lower computational complexity.
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The abstract, sentence by sentence
Molecular communication is a new field of communication where molecules are used to transfer information. Among the proposed methods, molecular communication via diffusion (MCvD) is particularly effective. One of the main challenges in MCvD is the intersymbol interference (ISI), which inhibits communication at high data rates. Furthermore, at the nano scale, energy efficiency becomes an essential problem. Before addressing these problems, a pre-determined threshold for the received signal must be calculated to make a decision. In this paper, an analytical technique is proposed to determine the optimum threshold, whereas in the literature, these thresholds are generally calculated empirically. Since the main goal of this paper is to build an MCvD system suitable for operating at high data rates without sacrificing quality, new modulation and filtering techniques are proposed to decrease the effects of ISI and enhance energy efficiency. As a transmitter-based solution, a modulation technique for MCvD, molecular transition shift keying (MTSK), is proposed in order to increase the data rate via suppressing the ISI. Furthermore, for energy efficiency, a power adjustment technique that utilizes the residual molecules is proposed. Finally, as a receiver-based solution, a new energy efficient decision feedback filter (DFF) is proposed as a substitute for the decoders such as minimum mean squared error (MMSE) and decision feedback equalizer (DFE). The error performance of DFF and MMSE equalizers are compared in terms of bit error rates, and it is concluded that DFF may be more advantageous when energy efficiency is concerned, due to its lower computational complexity.
background contribution method result interpretation main claim
| # | sentence | role | the authors' own work | states the main conclusion | strength |
|---|---|---|---|---|---|
| s0 | Molecular communication is a new field of communication where molecules are used to transfer information. | background 1.00 | 0.04 | 0.01 | asserted 1.00 |
| s1 | Among the proposed methods, molecular communication via diffusion (MCvD) is particularly effective. | background 1.00 | 0.07 | 0.02 | asserted 0.98 |
| s2 | One of the main challenges in MCvD is the intersymbol interference (ISI), which inhibits communication at high data rates. | background 0.99 | 0.06 | 0.03 | asserted 1.00 |
| s3 | Furthermore, at the nano scale, energy efficiency becomes an essential problem. | background 1.00 | 0.05 | 0.02 | asserted 1.00 |
| s4 | Before addressing these problems, a pre-determined threshold for the received signal must be calculated to make a decision. | background 0.88 | 0.09 | 0.02 | asserted 0.99 |
| s5 | In this paper, an analytical technique is proposed to determine the optimum threshold, whereas in the literature, these thresholds are generally calculated empirically. | contribution 0.95 | 0.84 | 0.08 | asserted 1.00 |
| s6 | Since the main goal of this paper is to build an MCvD system suitable for operating at high data rates without sacrificing quality, new modulation and filtering techniques are proposed to decrease the effects of ISI and enhance energy efficiency. | contribution 0.99 | 0.71 | 0.21 | asserted 1.00 |
| s7 | As a transmitter-based solution, a modulation technique for MCvD, molecular transition shift keying (MTSK), is proposed in order to increase the data rate via suppressing the ISI. | contribution 0.90 | 0.87 | 0.06 | asserted 1.00 |
| s8 | Furthermore, for energy efficiency, a power adjustment technique that utilizes the residual molecules is proposed. | contribution 0.89 | 0.83 | 0.04 | asserted 0.98 |
| s9 | Finally, as a receiver-based solution, a new energy efficient decision feedback filter (DFF) is proposed as a substitute for the decoders such as minimum mean squared error (MMSE) and decision feedback equalizer (DFE). | contribution 0.95 | 0.86 | 0.09 | asserted 0.98 |
| s10 | The error performance of DFF and MMSE equalizers are compared in terms of bit error rates, and it is concluded that DFF may be more advantageous when energy efficiency is concerned, due to its lower computational complexity. | result 0.77 | 0.90 | 0.35 | hedged possibility 0.99 |
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Original abstract
Molecular communication is a new field of communication where molecules are used to transfer information. Among the proposed methods, molecular communication via diffusion (MCvD) is particularly effective. One of the main challenges in MCvD is the intersymbol interference (ISI), which inhibits communication at high data rates. Furthermore, at the nano scale, energy efficiency becomes an essential problem. Before addressing these problems, a pre-determined threshold for the received signal must be calculated to make a decision. In this paper, an analytical technique is proposed to determine the optimum threshold, whereas in the literature, these thresholds are generally calculated empirically. Since the main goal of this paper is to build an MCvD system suitable for operating at high data rates without sacrificing quality, new modulation and filtering techniques are proposed to decrease the effects of ISI and enhance energy efficiency. As a transmitter-based solution, a modulation technique for MCvD, molecular transition shift keying (MTSK), is proposed in order to increase the data rate via suppressing the ISI. Furthermore, for energy efficiency, a power adjustment technique that utilizes the residual molecules is proposed. Finally, as a receiver-based solution, a new energy efficient decision feedback filter (DFF) is proposed as a substitute for the decoders such as minimum mean squared error (MMSE) and decision feedback equalizer (DFE). The error performance of DFF and MMSE equalizers are compared in terms of bit error rates, and it is concluded that DFF may be more advantageous when energy efficiency is concerned, due to its lower computational complexity.
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