SummaryMedical data are very precious since it has the most sensitive data of patient which can save them. If it is handled wrongly or it is manipulated, then it could result in permanent problems or even it can result in fatal. So medical data widely used in a digital format with error detection and correction codes (EDC) in its transmission and storage process. EDC is a method of adding redundant bits to the static message bits to enhance the reliability of binary digital data broadcast while the medical data communication medium adds the errors in the course of transmission. In the proposed method, we use Bose–Chaudhuri–Hocquenghem codes (BCH) as an outline algorithm and trellis Low‐Density Parity Check code (TLDPC) as an inner algorithm along with two interleavers. Product of BCH code and TLDPC code with interleavers can control more errors as compared with its plain code and product of RS‐Hamming code. MATLAB used as a simulation tool. Plain BCH code is simulated first, and then plain LDPC code is simulated for the same information. Finally, the product of BCH and TLDPC with two interleavers is imposed on the same information. The result of our research work shows enhancement in bit error rate (BER) compared to other plain and product codes from 10−2 to 10−3. Also, frame error rate (FER) is improved in 0.5 scaling factors when compared with other trellis decoders. Hence, this proposed system can be utilized in an application where less error rate and high accuracy of information transmission between medical data processing systems are required.

Wireless communication plays an important role in today's environment. To have an effective communication there must be interaction between different layers of OSI model. In this paper we propose a cross layer design for combining queuing and Adaptive Modulation and Coding(AMC) which includes a new modulation technique Gaussian Minimum Shift keying (GMSK). Gaussian Minimum Shift Keying (GMSK) modulation is widely used in cellular and PCS applications. One of the important considerations in the use of modulation is the average power spectral density and especially the spectral density characteristics on the tails. Already proposed AMC module for Cross-layer design has included the modulations like BPSK, QPSK, QAM etc. In order to maximize spectral efficiency under prescribed delay and performance constraints, GMSK is proposed in this paper. I. INTRODUCTIONTo enhance the spectral efficiency while adhering to a target error performance over wireless channels, adaptive modulation and coding (AMC) have been widely used to match transmission mode to time-varying channel state information. Nevertheless queuing systems are practically very important because of the typical trade-off between the various costs of providing service and the costs associated with waiting for the service (or leaving the system without being served). High quality fast service is expensive and long queues may cost a lot including time delay. So a typical problem is to find an optimum system configuration. The solution may be found by applying queuing theory.FIFO (First In First Out) is a very common queuing technique. For FIFO, the first packet in the queue is the first one to be processed, and the buffer size in the router is finite. When the buffer is full there is a possibility for congestion and packets can be dropped and a delay can occur. The effect of buffer overflow also needs to be taken into account while analyzing the overall system performance.The combination of queuing with AMC creates some interesting problems. For instance consider the packet loss rate of a system, which is defined as the ratio of the number of packets received incorrectly at the destination over those transmitted from the source. The packet loss rate is affected by both the queuing overflow, and the packet reception rate. In practical communication systems with randomly arriving packets, the queues may be empty from time to time, leads to a dynamic behavior of the queue.

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