Aggressive Packet combining scheme is very efficient technique for error correction in wireless data communication. Transmitter transmits three copies of the original packet. Receiver applies bit by bit majority voting on the received erroneous copies and gets the original packet. The major limitation of APC is that, if the bit error occurs in the same bit location of all the received copies then APC fail to correct them which results in reduced correction capability and reduced throughput. In this paper, a new modified APC technique is proposed that can eliminate the major limitation of the APC by using half-byte packet reverse technique and even & odd selection method thus increasing correction capability and throughput.

Aggressive Packet Combining (APC) scheme is well established for receiving correct packet in high error prone wireless link. In APC three copies of a packet are transmitted and receiver does bit wise majority decision to get the correct copy. The main research challenge in APC is that if two or more copies of the packet become erroneous at the particular bit location then majority logic fails to correct the error and also as three copies of packet are sent at a time, throughput degradation takes place at higher error rate channel. In this paper we propose a new method of correction in APC which will address the limitation which occurs in conventional APC. General TermsThroughput comparison

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Background: Non-orthogonal multiple access (NOMA) is viewed as the key multiple access technology for 5G and beyond networks, attracting the attention of academics and Industries. NOMA and the multiple input multiple output (MIMO-NOMA) technology can improve a system’s throughput, latency, and energy efficiency (EE) in future-generation communication networks. Objective: The objective of this paper is to achieve maximum EE by applying the Max-min Power Control Algorithm (MMPCA) through sub-channel optimization, resource allocation (RA) optimization, access point selection (APS), and user association. The EE results obtained with and without using MMPCA are compared to the RA optimization from a conventional water-filling algorithm (WFA). Method: This paper formulates a framework for user-centric (UC) joint resource allocation, such as backhaul connection via beam-forming and Access point AP to user connection via MIMO-NOMA. The user without interference is decoded using the NOMA principle. The MMPCA was also used to optimize cooperative power allocation, sub-channel allocation, and efficient user association. The RA for EE is framed as a mixed non-convex and non-linear function using successive convex approximation and sum ratio decoupling convert in convex and linear. A bisection method was used to achieve optimal RA, user association, and sub-channel assignment. Results and Conclusion: The simulation shows energy efficiency (EE) improvement. Similarly, it is observed that MMPCA outperforms the WFA.

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