A Literature Review in Methods to Reduce Multiple Access Interference, Inter-symbol Interference and Co-channel Interference
نویسندگان
چکیده
This discussion will be primarily focused on the problem of jointly suppressing the different interferences such as Multiple Access Interference (MAI) and Intersymbol Interference (ISI), which are the limiting sources of interference for high data-rate wireless applications, as in wireless multimedia or Spread Spectrum Code Division Multiple Access. After describing the general problem of interference rejection in wireless communications, we present a signal subspace approach to blind joint suppression of MAI and ISI. Then, follows a discussion of a powerful iterative technique for joint interference suppression and decoding called Turbo multiuser detection that is especially useful for wireless multimedia packet communications. We also discuss space-time processing methods that employ multiple antennas for interference rejection and signal enhancement. These are not all the available methods, but the ones that we consider available to us in the near future. We will deal on; a) Co-Channel interference mitigation detectors, b) Partially suppression of MAI and ISI, c) MAI near–far resistance architecture, and d) Successive interference algorithms.
منابع مشابه
Performance of the Wavelet Transform-Neural Network Based Receiver for DPIM in Diffuse Indoor Optical Wireless Links in Presence of Artificial Light Interference
Artificial neural network (ANN) has application in communication engineering in diverse areas such as channel equalization, channel modeling, error control code because of its capability of nonlinear processing, adaptability, and parallel processing. On the other hand, wavelet transform (WT) with both the time and the frequency resolution provides the exact representation of signal in both doma...
متن کاملA Recursive Approximation Approach of non-iid Lognormal Random Variables Summation in Cellular Systems
Co-channel interference is a major factor in limiting the capacity and link quality in cellular communications. As the co-channel interference is modeled by lognormal distribution, sum of the co-channel interferences of neighboring cells is represented by the sum of lognormal Random Variables (RVs) which has no closed-form expression. Assuming independent, identically distributed (iid) RVs, the...
متن کاملOn the Practical Aspects of Joint Passive Phase Conjugation and Equalization Underwater Communication Systems
Underwater acoustic communication systems suffer from the channel impairments which results in time spreading of the transmitted signal. In underwater environment, multiple replicas of the transmitted signal are received at the receiver through different paths, which causes significant Inter-Symbol Interference (ISI). Decision Feedback Equalizers (DFE) was utilized to overcome this type of inte...
متن کاملThe Optimal MMSE Transceiver Design for IoT-oriented Cognitive Radio Systems
This paper studies interference alignment scheme and minimum mean square error (MMSE) improvement in Internet of Things (IoT)-oriented cognitive systems, where IoT devices share the licensed spectrum by cognitive radio in spectrum underlay. Target to manage the inter-tier interference caused by cognitive spectrum sharing as well as ensure an MMSE at receivers, the interference alignment algorit...
متن کاملCoding enhanced joint detection for multiple access communications
A low complexity approach to coding-enhanced multi-user detection is developed to mitigate the problems associated with nearfar effect and to permit a more efficient assignment of channel resources relative to current multiple access (MA) communications systems. Through prudent integration of error correction decoding, multi-user and inter-symbol integeretace equalization and stripping, a low c...
متن کامل