{"title":"On the Maximal Achievable Rate for Signal-Code Construction Based on Interleaved Reed-Solomon Codes for Multiple Access System Over Vector-Disjunctive Channel","authors":"F. Ivanov, P. Rybin","doi":"10.1109/BlackSeaCom.2018.8433716","DOIUrl":"https://doi.org/10.1109/BlackSeaCom.2018.8433716","url":null,"abstract":"We consider a signal-code construction for a special class of multiple access system over vector-disjunctive channel. This construction is based on interleaved Reed-Solomon codes with collaborative decoding. The considered methods of encoding and decoding on one hand have acceptable complexity for a wide range parameters and on other one a decoding algorithm is able to correct significantly more collisions than bounded-distance decoder. We estimate a maximum achievable relative sum-rate of this construction for fixed number of active users and total number of frequencies to transmit.","PeriodicalId":351647,"journal":{"name":"2018 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129103195","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"EM Algorithm Based MAP Channel Estimation for Multi-Cell Massive MIMO Systems","authors":"Senol Sancar, B. Karakaya","doi":"10.1109/BlackSeaCom.2018.8433697","DOIUrl":"https://doi.org/10.1109/BlackSeaCom.2018.8433697","url":null,"abstract":"This paper represents an efficient expectation-maximization (EM) algorithm based maximum a posteriori (MAP) channel estimation method for multi-cell massive multiple input multiple output (MIMO) systems. MAP channel estimation method requires conjugate transpose of a τ x K pilot matrix where is the number of pilot symbols per user and K is the number of single antenna users. Conjugate transpose of large-size matrix increases computational complexity. The proposed method estimates the channel iteratively and converges to the same mean square error (MSE) performance of the MAP estimator with the increasing number of iterations. Consequently, the proposed method with low-rank approximation avoids conjugate transpose of large-size matrix and hence reduces the computational complexity significantly,","PeriodicalId":351647,"journal":{"name":"2018 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131247778","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Joint Power Control and Time Division to Improve Spectral Efficiency in Dense Wi-Fi Networks","authors":"E. Khorov, A. Kiryanov, A. Krotov","doi":"10.1109/BlackSeaCom.2018.8433721","DOIUrl":"https://doi.org/10.1109/BlackSeaCom.2018.8433721","url":null,"abstract":"Ubiquitous densification of wireless networks has brought up the issue of inter-and intra-cell interference. Interference significantly degrades network throughput and leads to unfair channel resource usage, especially in Wi-Fi networks, where even a low interfering signal from a hidden station may cause collisions or block channel access as it is based on carrier sensing. In the paper, we propose a joint power control and channel time scheduling algorithm for such networks, which significantly increases overall network throughput while maintaining fairness. The algorithm is based on branch-and-bound global optimization technique and guarantees that the solution is optimal with user-defined accuracy.","PeriodicalId":351647,"journal":{"name":"2018 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom)","volume":"319 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116229239","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Flow Control with Max-Min Fairness and Path Constraints in Software-Defined Networks","authors":"Wei Peng, Dongxing Li, Wenping Deng","doi":"10.1109/BlackSeaCom.2018.8433700","DOIUrl":"https://doi.org/10.1109/BlackSeaCom.2018.8433700","url":null,"abstract":"The emerging software-defined networks (SDNs) have made centralized flow control practical. In this paper, we study the flow control problem with consideration of path constraints and user flow requirements. Two problems are formulated according to path constraints, namely, the flow control with independent paths (FC-IDP) problem and the flow control with destination-rooted trees (FC-DRT) problem. It is shown that a flow rate allocation vector is weighted max-min fair if and only if each flow has a weighted bottleneck link. The optimality conditions are analyzed for the FC-IDP problem without fairness constraints. A weighted water filling algorithm is proposed for flow control with fairness constraints and predetermined flow paths. Without fairness constraints, evolutionary strategy is proposed to optimize the flow paths and flow rate allocation vectors. The algorithms are tested on random networks and it is shown that fairness constraints may have a great impact on flow control performance.","PeriodicalId":351647,"journal":{"name":"2018 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129120701","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Constrained Stability Least Mean Square Algorithm for Active Noise Control","authors":"F. Albu","doi":"10.1109/BlackSeaCom.2018.8433640","DOIUrl":"https://doi.org/10.1109/BlackSeaCom.2018.8433640","url":null,"abstract":"In this paper, we propose the constrained stability least mean square (CS-LMS) algorithm for multichannel active noise control (ANC). It is shown that the centralized version is able to have better attenuation and tracking performance for different step sizes, ideal and noisy plant models. It is also shown that the proposed distributed version using an incremental communication strategy can obtain a better noise reduction performance is a proper step is used. These performance improvements over the NLMS solutions are obtained with a price of a slight increase in the numerical complexity.","PeriodicalId":351647,"journal":{"name":"2018 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom)","volume":"256 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124206839","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Trellis Demodulator for Pulse Shaped OFDM","authors":"A. Rashich, A. Kislitsyn, S. Gorbunov","doi":"10.1109/BlackSeaCom.2018.8433690","DOIUrl":"https://doi.org/10.1109/BlackSeaCom.2018.8433690","url":null,"abstract":"A trellis demodulator for spectrally efficient pulse shaped OFDM-signals is proposed. Its' performance is analyzed for a set of optimal pulses obtained as the solution of the optimization problem with restriction to a certain spectrum reduction rate. We consider the pulse shapes of general form with duration equal to OFDM-symbol duration. The iterative version of trellis demodulator for pulse shaped OFDM with FEC is also proposed. The BER performance of proposed iterative demodulator of spectrally efficient pulse shaped OFDM signals is comparable with the one of classic coded OFDM modulation with the same FEC. The performance of proposed algorithms does not depend on the number of subcarriers. They allow to introduce non-orthogonality into OFDM to achieve very good spectral characteristics with small BER degradation.","PeriodicalId":351647,"journal":{"name":"2018 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom)","volume":"45 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114110819","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Analytical Study of Adaptive Video Generation in CCTV Over Public Wireless Networks","authors":"E. Khorov, A. Lyakhov, N. Zhirnov","doi":"10.1109/BlackSeaCom.2018.8433699","DOIUrl":"https://doi.org/10.1109/BlackSeaCom.2018.8433699","url":null,"abstract":"Adaptive bitrate selection is a widely used technique to provide the highest experience for users watching existing videos stored on some servers. In the paper, we apply such a technique to increase the quality of real-time video streams generated by CCTV (Closed Circuit TeleVision) cameras and transmitted to operators and servers over existing public wireless networks. On one side, the use of public networks reduces CAPEX and OPEX. On the other side, the available capacity of such networks varies over time, since the network shall serve also the traffic of primary customers. In the paper, we develop an analytical model to evaluate the performance of various bitrate selection algorithms. We show how to use the model to optimize bitrate selection in heterogeneous networks.","PeriodicalId":351647,"journal":{"name":"2018 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121432939","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
D. Pukhkaiev, Sergii Shchaslyvyi, Roman Kosovnenko, Ievgeniia Svetsynska, Sebastian Götz
{"title":"Star-BRISE: Energy-Efficient Benchmarking for Interacting Algorithms","authors":"D. Pukhkaiev, Sergii Shchaslyvyi, Roman Kosovnenko, Ievgeniia Svetsynska, Sebastian Götz","doi":"10.1109/BlackSeaCom.2018.8433691","DOIUrl":"https://doi.org/10.1109/BlackSeaCom.2018.8433691","url":null,"abstract":"Energy-efficient computing is a well-studied and established field. Software energy-efficiency is one of the ways to decrease energy consumption of computing systems. However, contemporary studies on energy-efficient software investigate only individual algorithms, neglecting such an important area as workflow energy-efficiency. In this paper we try to decrease this gap by providing a study which investigates dependencies between software algorithms organized in a workflow. We empirically study the effect of dynamic voltage and frequency scaling and dynamic concurrency throttling on energy consumption of two case studies: workflows combined from (a) compression and encryption algorithms; and (b) matrix transposition and addition. Our findings show, that a suitable structure of a workflow, can significantly reduce energy consumption of the overall system. However, empirical studies of workflow energy-efficiency are themselves very time-and energy-demanding. Therefore, we provide an approach called Star-BRISE that allows to reuse data obtained from benchmarking of individual algorithms to decrease the amount of measurements for resulting workflows. The presented approach can save up to 78% of time and energy effort on finding an optimal configuration for 2-algorithm workflows (and up to 95 % of effort for a single workflow) and is even more efficient with scaling the number of algorithms in a workflow.","PeriodicalId":351647,"journal":{"name":"2018 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115931547","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Luciano Barros Cardoso da Silva, Tarik Benaddi, L. Franck
{"title":"Cognitive Radio Overlay Paradigm Towards Satellite Communications","authors":"Luciano Barros Cardoso da Silva, Tarik Benaddi, L. Franck","doi":"10.1109/BlackSeaCom.2018.8433717","DOIUrl":"https://doi.org/10.1109/BlackSeaCom.2018.8433717","url":null,"abstract":"In this paper, we investigate the application of cognitive radio techniques within the overlay paradigm toward satellite communications, where the primary and cognitive users transmit concurrently at the same frequency, time and space. By means of dirty paper coding (DPC) and superposition techniques, a low complexity scheme is proposed when compared to classical precoding for interference pre-subtraction. The system performance is evaluated in different realistic scenarios, resulting in no degradation for primary user and a significant recovery of the shaping loss for the cognitive user.","PeriodicalId":351647,"journal":{"name":"2018 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127742109","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Luis Suarez, N. Ryabov, V. Lyashev, Alexander Sherstobitov
{"title":"DFT Based Beam-Time Delay Sparse Channel Representation for Channel State Information (CSI) Compression in 5G FDD Massive MIMO Systems","authors":"Luis Suarez, N. Ryabov, V. Lyashev, Alexander Sherstobitov","doi":"10.1109/BlackSeaCom.2018.8433709","DOIUrl":"https://doi.org/10.1109/BlackSeaCom.2018.8433709","url":null,"abstract":"Massive MIMO is currently a very hot topic for mobile R&D industry due to its large capabilities of high throughput and enhanced coverage for multiple users simultaneously. In the following article a proposal for dealing with the Channel State Information (CSI) overhead for FDD MIMO systems is presented. The idea consists of using a Multidimensional Discrete Fourier Transform (DFT) compression, which exploits the frequency and spatial correlations in order to provide a fully sparse Beam-Time Delay Channel Representation. The proposed idea provides high scalability in a long range of channel compression regimes while presents low computational complexity. Simulation results are presented showing the feasibility of implementation for Full dimensional massive MIMO systems.","PeriodicalId":351647,"journal":{"name":"2018 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116978440","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}