This study introduces a novel conservative modulation and coding scheme to minimize and stabilize the delay incurred during the process of electrocardiogram (ECG) transmission over a wireless medium, while maintaining the desired level of the ECG pattern quality required for improving the chance of its interpretation. A machine-type communication system is adopted for the delivery of ECG data to benefit from its inherent reliability, pervasiveness, security, and performance of 4G long-term evolution technologies with reduced cost and enhanced coverage. Extensive evaluations indicate that the proposed system provides a sufficient level of service for medical-grade instantaneous ECG monitoring even under significantly deteriorated channel conditions.

Delay-sensitive real-time applications require average latency to be reduced as far as possible, while maintaining the minimum necessary level of service quality. However, the interaction of these two performance metrics has not received much attention in the current standard air specification of CDMA2000 broadcast services. The authors analyse the performance of the forward error correction employed at the MAC layer of these broadcast services, with respect to the conditions of a fading wireless channel and the size of the error control block (ECB), which is a buffer in the form of a two-dimensional array. As a result, the authors establish the tradeoff between service reliability and delay, and show how it depends on the size of the ECB. The authors go on to propose a novel adaptive error-recovery scheme which dynamically adjusts the size of the ECB to suit the wireless environment of the mobile nodes, using either a moving-average or a weighted-average method. Reducing the service delay as far as possible necessarily compromises the reliability of the service, but the authors scheme still ensures the required minimum reliability. The authors have shown the effectiveness of their scheme through extensive simulations using a detailed threshold model, which accurately describes the statistics of the block error process in a fading channel. The authors also suggest a service implementation scenario to aid in the design.

The performance of shared memory multiprocessor systems is dependent on the system software parameters such as the processor scheduling policies as well as on the hardware system parameters. Most existing simulators, however, lack the capability of integrated simulation of both hardware and software because they can run only a single benchmark at one time. We propose a new method on a program-driven simulator basis, which enables the concurrent executions of multiple parallel workloads, thus leads to support the modeling of various scheduling policies on shared memory multiprocessor systems. By using the proposed method, a user may measure and analyze the performance of the system under development more approximately to the real run-time environments.