recently was a communication theory of multiple transmit and receive antenna developed. Equalizer design must typically balance Inter Symbol Interference mitigation with noise enhancement, since both the signal and the noise pass through the equalizer, which can increase the noise power. Moreover

With the commercialization of 3G mobile communication systems, the ability to provide diversiform data services, high mobility vehicle communication experiences and asymmetrical services are enhanced further than 2G systems. But at the same time, users still have higher requirement for high-rate and high-QoS mobile services. Many

Abstract not found

Inter Symbol Interference is considered to be one of the most challenging problems encountered in fiber optical communication system. It causes increase in path loss, delay spread, degraded performance, achieving high data rates becomes impossible, and power penalty increases due to ISI increases

environment. It is demonstrated that the joint detector can achieve symbol error rates that have the same dependence on the received signal-to-noise ratio (SNR) as if the channel were interference free. Thus, the performance of joint detection is fundamentally limited by the SNR rather than the signal-to-interference

Abstract—In this work, we present a successive opportunistic relaying protocol with an inter-relay interference (IRI) mitigation scheme, in a quasi-static environment with Rayleigh fading. In order to recover the half duplex loss of the transmission, we adopt a successive relaying (SR) strategy

the selection function needs to determine the best interleaver based on the channel state information, it is necessary to predict reliably the channel state information for typical delay values. We present symbol-based and block-based linear minimum mean squared error (MMSE) receivers for interference

setting with two adjacent cells, under different fairness criteria that emphasize the role of users near the cell “boundary”. Our result show that the proposed “active ” Inter-Cell Interference (ICI) mitigation technique outperforms the more conventional “static ” ICI mitigation technique known

. These are employed for soft removal of inter-symbol and multipleaccess interference from the received sequences. The procedure is iterated in a multistage structure until final harddecisions are taken. The proposed Multistage Bayesian MUD exhibits low complexity and better performance (close to the ideal canceller

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