Interference mitigation in multiuser communication by faster than symbol rate sampling

Date

2017-12-01

Author

Balevi, Eren
Yılmaz, Ali Özgür

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

102
views

0
downloads

The degrees of freedom (DoF) gain due to excess bandwidth is lost in case of Symbol Rate (SR) sampling where Faster than Symbol Rate (FTSR) sampling emerges as a promising approach to exploit this gain. In this direction, FTSR sampling is studied to increase the total number of users in a network for a given fixed bandwidth. The rank analysis indicates that FTSR sampling brings rank advantage proportional to the excess bandwidth for unequally spaced channel taps. With the help of an iterative FTSR sampled MMSE multiuser receiver, this rank advantage can be employed in the separation of two users' signals from each other that transmit simultaneously on the same frequency band.

Subject Keywords

Faster than symbol rate sampling, Iterative receivers, Multiuser detectors, Interference mitigation

URI

https://hdl.handle.net/11511/43651

Journal

PHYSICAL COMMUNICATION

DOI

https://doi.org/10.1016/j.phycom.2017.10.001

Collections

Department of Electrical and Electronics Engineering, Article

Suggestions

OpenMETU
Core

Quantifying The Improvement of MMSE Equalizers by Faster Sampling Rates Balevi, Eren; Yılmaz, Ali Özgür (2017-05-18) The efficiency of faster than symbol rate sampled MMSE equalizers, which is generally considered as a remedy to time or phase errors, is explicitly analyzed accounting for practical channel conditions and pulse shaping filter. The simulation results illustrate that the advantage of faster than symbol rate sampling is always present for the finite block length ISI channel even if perfect time information is available. Block length is the key parameter that affects the performance such that there is a high SN...
Performance Comparison of Different Sparse Array Configurations for Ultra-Wideband, Near-field Imaging Applications Cetin, Beyzat Talat; Alatan, Lale (2017-03-24) The aim of this study is to compare the performance of different multiple-input multiple-output (MIMO) array topologies, intended to be used in ultra-wideband (UWB) near-field imaging applications, by using an analysis method that does not include the effects of image reconstruction algorithm. For this purpose, maximum projection method, previously proposed for the analysis of UWB arrays under far-field conditions, is utilized and modified to obtain two way beam patterns of UWB arrays operating in the near-...
Implementation of an enhanced fixed point Variable Bit-Rate MELP vocoder on TMS320C549 Ertan, AE; Aksu, EB; Ilk, HG; Karci, H; Karpat, O; Kolcak, T; Sendur, L; Demirekler, Mübeccel; Cetin, AE (1999-03-19) In this paper, a fixed point Variable Bit-Rate (VBR) Mixed Excitation Linear Predictive Coding (MELP(TM)) vocoder is presented. The VBR-MELP vocoder is also implemented on a TMS320C54x and it achieves virtually indistinguishable federal standard MELP quality at bit-rates between 1.0 to 1.6 kb/s. The backbone of VBR-MELP vocoder is similar to that of federal standard MELP. It utilizes a novel sub-band based voice activity detector in the back-end of encoder to discriminate background noise from speech activi...
Waterfall region analysis for iterative decoding Yılmaz, Ali Özgür (2004-12-01) Finite length analysis of iterative decoders can be done by using probabilistic models based on EXIT charts. The validity of these models will be investigated by checking the performance of iterative decoding under various scenarios.
Application of ODSA to population calculation Ulukaya, Mustafa; Demirbaş, Kerim; Department of Electrical and Electronics Engineering (2006) In this thesis, Optimum Decoding-based Smoothing Algorithm (ODSA) is applied to well-known Discrete Lotka-Volterra Model. The performance of the algorithm is investigated for various parameters by simulations. Moreover, ODSA is compared with the SIR Particle Filter Algorithm. The advantages and disadvantages of the both algorithms are presented.

Citation Formats

E. Balevi and A. Ö. Yılmaz, “Interference mitigation in multiuser communication by faster than symbol rate sampling,” PHYSICAL COMMUNICATION, pp. 148–157, 2017, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/43651.