Multi User Detection or MUD is a major challenge faced in the field of wireless and cellular communications. Wireless Networks are becoming increasingly everywhere in computer networks due to less cost and maintenance overhead. While some wireless networks may operate in regulated spectrum and the majority operate in the unregulated (ISM) band. It is highly challenging for a base or control station to successfully detect signals from multiple users in the same frequency range. This may occur due to comparatively small frequency re-use distance. This paper proposes a technique based on decision feedback equalization (DFE) and strongest signal cancellation for multi-user detection (MUD) in wireless networks. It has can be seen that by employing the proposed system, the Bit Error Rate (BER) for strong, average and weak users assemble. Thus it indicates the fact that all the signals are detected with equal accuracy.

Multi User Detection (MUD), User Equipment (UE), Inter Symbol Interference (ISI), Frequency Selective Channel, Bit Error Rate (BER).

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