Estimation of the carrier-to-interference ratio in cellular radio systems (original) (raw)
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IEEE Transactions on Communications, 2004
This paper develops an analytical framework for characterizing the average symbol error rate and outage performance of a smart antenna system in cellular mobile radio environments. Specifically, the carrier-to-interference ratio statistics with remaining (uncancelled) "weakest" cochannel interference (CCI) signals from a total of signals are derived, given that both the desired user signal and the CCI signal amplitudes are subjected to Rayleigh, Rice, Nakagami-, or Nakagami-fading. General expressions for the outage probability and the average symbol-error rate performance of different digital modulation schemes in the presence of CCI signals are derived. Selected numerical results are presented to demonstrate the utility of the analysis in assessing the selective interference nulling performance in different fading environments.
Estimation of a Probability of Interference in a Cellular Communication Network using the
A Monte-Carlo technique based methodology for the estimation of a probability of interference in a cellular communication network is presented. This probability is considered for the case of mobile to base (Up Link or Reverse channel) and base to mobile (Down Link or Forward channel) interferences. The effect of random user location in their respective cells is taken into account, and the impact of lognormal shadowing is also studied. The simulation results obtained, when compared with known results are found to be in agreement.
On the Performance of Cyclic-Prefixed Single-Carrier Cellular Systems in Cochannel Interference
Vehicular Technology, IEEE …, 2011
In this paper, we study cyclic-prefixed single-carrier cellular systems in the presence of cochannel interference from neighboring cells. Performance analysis for the maximum achievable average rate and outage probability based on approximated distributions for the signal-tointerference-plus-noise ratio (SINR) is presented. An asymptotic diversity gain is also derived. Monte Carlo simulations verify the derived analytical expressions.
Generalized carrier to interference ratio analysis for the shotgun cellular system
2010
In this paper, we analyze the signal-to-interference-plus-noise ratio (SINR) performance at a mobile station (MS) in a random cellular network. The cellular network is formed by base-stations (BSs) placed in a one, two or three dimensional space according to a possibly non-homogeneous Poisson point process, which is a generalization of the so-called shotgun cellular system. We develop a sequence of equivalence relations for the SCSs and use them to derive semi-analytical expressions for the coverage probability at the MS when the transmissions from each BS may be affected by random fading with arbitrary distributions as well as attenuation following arbitrary path-loss models. For homogeneous Poisson point processes in the interference-limited case with power-law path-loss model, we show that the SINR distribution is the same for all fading distributions and is not a function of the base station density. In addition, the influence of random transmission powers, power control, multiple channel reuse groups on the downlink performance are also discussed. The techniques developed for the analysis of SINR have applications beyond cellular networks and can be used in similar studies for cognitive radio networks, femtocell networks and other heterogeneous and multi-tier networks.
Frequency re-use distance calculation in cellular systems based on Monte-Carlo simulation
Heliyon, 2019
Radio spectrum's sharing guideline is an essential component of spectrum utilization process. Since there is no insightful interference avoidance method in a radio system, the careful selection of sharing conditions is the only means for achieving successful coexistence and optimal spectrum usage in the radio system. Spectrum sharing rule can be obtained by an analytical method or statistical method. The analytical method considers the worst case scenario to calculate sharing rules. Nonetheless, this doesn't represent the lasting phenomenon amid ordinary task; moreover sharing rules may be unnecessarily rigid. Henceforth, the Monte Carlo Simulation (MCS) strategy has been utilized to establish a probability of interference based on a random distribution of victim link receiver in time and space with respect to victim link transmitters. The study has been done for cluster number N with values of 1, 3, 4, and 7 in a cellular system. Monte Carlo Simulation analysis showed the percentages of interference are 24.94%, 9.36%, 3.33%, and 0.4% for N ¼ 1, N ¼ 3, N ¼ 4, and N ¼ 7 respectively. In terms of throughput per total bandwidth per a single site, N ¼ 7 offers a spectrum utilization of 1/7 and N ¼ 4 offers a spectrum
European Transactions on Telecommunications, 2009
A common assumption in the analysis and modelling of co-channel interference (CCI) is the circular shape of the cells. However, despite its simplicity, this approach has certain drawbacks. In this paper, we propose an alternative approximate method which considers hexagonal-shaped cells. We develop a geometrical-based stochastic model and derive analytical expressions for the statistics of the angle-of-arrival of the uplink interfering signals in a cellular system. Simulations performed exhibit the characteristics of our proposal and evaluate both hexagonal and circular approximations. The impact of various parameters on the performance of a cellular system is also investigated. The derived expressions simplify the analysis of wireless networks and improve the accuracy of the simulations when hexagonal cells are employed.
LTE (long term evolution) target a high bit rate and QoS (Quality of Service) but is hampered by the significant increase of the number of users. The cellular concept enabled to expand the service coverage to an unlimited large area by dividing the service area into multiple cells with a BS deployed in each cell and reusing the given frequency spectrum repeatedly in each cell. This, however, brings in the co-channel interference problem among the neighboring cells and hence the cellular concept can truly achieve its goal only when the inter-cell interference is properly resolved. The inter-cell resource management refers to a collection of operations that intend to achieve a maximized QoS by minimizing the performance degradation caused by the inter-cell interference. In this work, to improve the downlink radio link, we will use, Partial Frequency Reuse with LP-OFDM modulation in the inner-cell and in the cell-edge we will use Partial Frequency Reuse and OFDM modulation supported by the coordination with adjacent cells. Matlab simulation of different scenarios showed an improvement in bit error rate at the receiver. The results are processed according to the Monte Carlo criteria.
A Survey of Reduction the Interference on Cellular Communication System
IJCA, 2014
Interference reduction is the challenging issue in the field of cellular communication system. Due to limited frequency bandwidth and high cost, we have to reuse same frequency band in the different geographic area resulting the CCI and ACI. In this paper we study two different type of interference. In this Survey we also presented the various interference reduction methods and also discuss the reduction process of Signal to interference ratio. Using these two tools we also evaluate the performance of the Signal to interference ratio.
EURASIP Journal on Wireless Communications and Networking, 2011
In this paper, we propose a methodology for estimating the statistics of the intercell interference power in the downlink of a multicellular network. We first establish an analytical expression for the probability law of the interference power when only Rayleigh multipath fading is considered. Next, focusing on a propagation environment where small-scale Rayleigh fading as well as large-scale effects, including attenuation with distance and lognormal shadowing, are taken into consideration, we elaborate a semi-analytical method to build up the histogram of the interference power distribution. From the results obtained for this combined small- and large-scale fading context, we then develop a statistical model for the interference power distribution. The interest of this model lies in the fact that it can be applied to a large range of values of the shadowing parameter. The proposed methods can also be easily extended to other types of networks.