Multi-user Detection in Wireless Networks Using Decision Feedback Signal Cancellation

Wireless Networks are becoming increasingly ubiquitous in computer networks due to lesser cost and maintenance overhead. While some wireless networks may operate in regulated spectrum, the majority operate in the unregulated (ISM) band. It is highly challenging for a base station or control stations to successfully detect signals from multiple users in the same frequency range which may occur due to comparatively small frequency reuse distance. This paper proposes a technique based on decision feedback equalization (DFE) (Tu et al Proceedings of 44th Asilomar conference signals [1]) 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 (Stojanovic M Proceedings 137 of MTS/IEEE OCEANS conference, Boston, MA, 2006 [2]), average and weak users converge thereby indicating the fact that all the signals are detected with equal accuracy (Li et al IEEE J Ocean Eng 33(2): 198-209, 2008 [3]).