Performance analysis of multiplexing and error control scheme for body area networks

Abstract

In this paper, we theoretically analyze the performance of a multiplexing and error control scheme for body area networks. In our previous work, we proposed a quality of service (QoS) control optimization method that achieves optimal QoS control by introducing a multiplexing scheme over the media access control (MAC) layer. This multiplexing scheme combines Weldon-based hybrid automatic repeat request (ARQ) with a decomposable error-correcting code. In this paper, we present a theoretical analysis of our proposed scheme as an extension of our previous work. In this proposed system, the decomposable code which has simpler structure is utilized. We then show that our proposed multiplexing layer can achieve optimal performance at E s /N 0 = 3, 5, and 6 dB in the additive white Gaussian noise (AWGN) channel and at E s /N 0 = 8, 11, and 14 dB in the Rayleigh fading channel by arbitrarily selecting parameters for the error-correcting code and hybrid ARQ. Then, we show that the proposed system obtains over 1.2 dB gain in the AWGN channel and over 4.2 dB gain in the Rayleigh fading channel than IEEE802.15.6 in the optional pattern.

Performance evaluation of a QoS‐aware error control scheme for multiple‐WBAN environment

“…In our previous studies, a decomposable error control code was used to optimize the QoS levels of different data types . As an example of a decomposable code, a punctured convolutional code with a constraint length K = 3 and coding rates of 8/9–1/2 was used as a reference . In Refs.…”

“…It is expected that m‐IoT will allow continuous monitoring of the user's physical condition and help preempt serious illnesses. In the field of m‐IoT systems, the wireless body area network (WBAN) is a key technology . Extensive work on the standardization of such systems has been carried out .…”

“…The quality of service (QoS) control must ensure that different types of data can be communicated as efficiently as possible at a satisfactory quality level. The optimal QoS control of input data is therefore an important factor in sensor data transmission [11][12][13][14].…”

“…Simulations were conducted to evaluate the performance of the proposed system and compare its performance with that of a system based on IEEE 802.15.6 [11]. We earlier presented a theoretical analysis of the proposed method in [12], and derived a lower bound on throughput and an upper bound on the residual bit error rate (RBER) for both the proposed system and the standard system under the additive white Gaussian noise (AWGN) channel and the Rayleigh fading channel. In the same study, we investigated the QoS parameters to allow optimization of our system [12].…”

“…We earlier presented a theoretical analysis of the proposed method in [12], and derived a lower bound on throughput and an upper bound on the residual bit error rate (RBER) for both the proposed system and the standard system under the additive white Gaussian noise (AWGN) channel and the Rayleigh fading channel. In the same study, we investigated the QoS parameters to allow optimization of our system [12]. However, the study did not take account of interference from other WBANs, and previous studies had not evaluated the worst case performance [11,12].…”