{"title":"Iterative MMSE receivers for multiuser MIMO cooperative systems","authors":"G. Kraidy, P. Salvo Rossi","doi":"10.1109/SPAWC.2010.5671020","DOIUrl":"https://doi.org/10.1109/SPAWC.2010.5671020","url":null,"abstract":"In this work we study a two-user multiple antenna system under quasi-static fading employing a novel scheme that combines cooperation and iterative multiuser detection based on minimum mean square error estimation. We investigate three different receivers: a joint detector for the two users, a separate (per-user) detector, and a distributed matrix-Alamouti detector. We show that the separate detector and the distributed matrix-Alamouti have close performance but different detection complexity depending on the antenna configuration. Frame error rate performance under Monte Carlo simulations is finally shown.","PeriodicalId":436215,"journal":{"name":"2010 IEEE 11th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122237279","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":"Distributed power allocation for next-generation cognitive wireless devices","authors":"A. Morell, J. Vicario, G. Seco-Granados","doi":"10.1109/SPAWC.2010.5671040","DOIUrl":"https://doi.org/10.1109/SPAWC.2010.5671040","url":null,"abstract":"It is foreseen that new cognitive wireless communications devices will incorporate multiple reconfigurable radios in the near future. In this paper, we concentrate on the problem of allocating the device power to the radios and we discuss the advantages of distributed approaches in front of centralized designs. Motivated by the scalability in the design and by the potential reduction of signalling information between the transceivers and the power controller, we develop a new power allocation algorithm that is based on a novel decomposition algorithm, called coupled-decompositions method. As a result, we reduce the signalling requirements by a factor 10 with respect to centralized approaches and by a factor 3 with respect to a classical primal decomposition approach. Furthermore, the resulting technique is expected to adapt faster and more robustly to changes in the scenario conditions.","PeriodicalId":436215,"journal":{"name":"2010 IEEE 11th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125518833","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":"Complexity reduction in BICM-ID systems through selective log-likelihood ratio updates","authors":"S. Schwandter, Z. Naja, P. Duhamel, G. Matz","doi":"10.1109/SPAWC.2010.5670980","DOIUrl":"https://doi.org/10.1109/SPAWC.2010.5670980","url":null,"abstract":"Bit-interleaved coded modulation with iterative decoding (BICM-ID) performs well under a variety of channel conditions. Based on a factor graph representation of BICM-ID, we propose a modification of the BICM-ID receiver that can reduce the computational complexity significantly without BER degredation. The basic idea is to avoid updates of code bit log-likelihood ratios whose magnitude is already sufficiently large. Simulation results illustrate the excellent performance-complexity trade-off of our method.","PeriodicalId":436215,"journal":{"name":"2010 IEEE 11th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130503470","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":"Blind nonzero delay MMSE equalizer for SIMO fir systems","authors":"A. Kammoun, K. Abed-Meraim, S. Affes","doi":"10.1109/SPAWC.2010.5670966","DOIUrl":"https://doi.org/10.1109/SPAWC.2010.5670966","url":null,"abstract":"Recently, a novel method for blind channel equalization based on the truncation of the covariance matrix has been proposed. Despite having interesting properties, more specifically its low complexity through adaptive implementation and its robustness to channel over-modeling, this method, is based on zero delay equalization thus yielding non satisfactory results in case the first channel coefficient is of low power. In this paper, we propose to generalize this method to nonzero delay equalization. We show that the proposed method not only inherits the same interesting properties of the original one, but also improves considerably its performance and its sensitivity to the value of the first channel coefficient.","PeriodicalId":436215,"journal":{"name":"2010 IEEE 11th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129767864","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":"Impact of channel estimation error upon sum-rate in amplify-and-forward two-way relaying systems","authors":"Yupeng Jia, A. Vosoughi","doi":"10.1109/SPAWC.2010.5670875","DOIUrl":"https://doi.org/10.1109/SPAWC.2010.5670875","url":null,"abstract":"In this work, we consider the amplify-and-forward (AF) two-way relay network where the two terminals TA, TB exchange their information through a relay node TR in a bi-directional manner and study the impact of the training-based channel estimation upon individual and sum-rate of the two users. We assume that in the multiple-access (MA) phase TA, TB initiate transmission by sending their training symbols to TR, and in the broadcasting (BC) phase TR initiates transmission by sending its own training symbol, followed by an amplified version of the signal received in MA phase. This training symbol facilitates TA and TB to perform self-interference suppression and to estimate the cascaded overall relay channel required for recovery of the data of interest. We derive lower bounds on the training-based individual rates and sum-rate of the two users and investigate the impact of channel estimation errors upon the sum-rate lower bound. Under the total transmit power constraint, we search for the optimal power allocation among the three nodes and optimal power allocation between data and training such that the sum-rate lower bound is maximized. Furthermore, we discuss the relationship between the optimal solutions and the relay location.","PeriodicalId":436215,"journal":{"name":"2010 IEEE 11th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121485257","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":"Optimal Downlink Beamforming and resource allocation in MIMO-OFDMA systems","authors":"N. Hassan, M. Assaad","doi":"10.1109/SPAWC.2010.5671043","DOIUrl":"https://doi.org/10.1109/SPAWC.2010.5671043","url":null,"abstract":"In this paper we consider the Downlink Beamforming (DLBF) and resource allocation problem in MIMO-OFDMA systems. We consider the sum-power minimization or margin adaptive problem. This is a variable Signal to Interference and Noise Ratio (SINR), non-convex optimization problem and many aspects of this problem are not well understood. By using uplink downlink duality we first obtain the expression of target SINR values and then solve the remaining margin adaptive problem to achieve the target data rates of all the users in the system. We then develop an optimal algorithm using convex optimization theory. This algorithm provides the optimal beamformers and optimal subcarrier and power allocation for different users while achieving their target data rate constraints.","PeriodicalId":436215,"journal":{"name":"2010 IEEE 11th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122539234","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":"Sparse regularized total least squares for sensing applications","authors":"Hao Zhu, G. Leus, G. Giannakis","doi":"10.1109/SPAWC.2010.5671061","DOIUrl":"https://doi.org/10.1109/SPAWC.2010.5671061","url":null,"abstract":"This paper focuses on solving sparse reconstruction problems where we have noise in both the observations and the dictionary. Such problems appear for instance in compressive sampling applications where the compression matrix is not exactly known due to hardware non-idealities. But it also has merits in sensing applications, where the atoms of the dictionary are used to describe a continuous field (frequency, space, angle, …). Since there are only a finite number of atoms, they can only approximately represent the field, unless we allow the atoms to move, which can be done by modeling them as noisy. In most works on sparse reconstruction, only the observations are considered noisy, leading to problems of the least squares (LS) type with some kind of sparse regularization. In this paper, we also assume a noisy dictionary and we try to combat both noise terms by casting the problem into a sparse regularized total least squares (SRTLS) framework. To solve it, we derive an alternating descent algorithm that converges to a stationary point at least. Our algorithm is tested on some illustrative sensing problems.","PeriodicalId":436215,"journal":{"name":"2010 IEEE 11th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115565883","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":"Reducing out-of-band radiation of OFDM-based cognitive radios","authors":"Liwen Yu, B. Rao, L. Milstein, J. Proakis","doi":"10.1109/SPAWC.2010.5670975","DOIUrl":"https://doi.org/10.1109/SPAWC.2010.5670975","url":null,"abstract":"In an OFDM-based cognitive radio system, mutual interference among the users needs to be managed in order to enable spectrum sharing while protecting the licensed users. However, a conventional OFDM waveform suffers from high out-of-band radiation (OBR) and may cause harmful interference to other users in the system. In this work, we develop a transmit-windowing-based approach that reduces OBR by allowing for a controlled amount of Inter-Carrier Interference (ICI) in the OFDM system. Unlike previous work on transmit windowing, this approach does not require any additional time-frequency resources and shapes the carrier spectrum in a limited and deliberate manner. In particular, we examine the use of Hamming and Hanning transmit-windowed OFDM. The windowing operation at the transmitter consists of simple time-domain multiplications and is implemented in combination with an efficient fast Fourier transform (FFT) algorithm. We show that transmit-windowed OFDM has the potential to reduce OBR and improve spectral efficiency, and can be considered as an attractive alternative modulation waveform for cognitive radios.","PeriodicalId":436215,"journal":{"name":"2010 IEEE 11th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130950882","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}
A. Kammoun, Abdeljalil Aissa El Bey, K. Abed-Meraim, S. Affes
{"title":"Robustness of blind subspace based techniques using ℓp quasi-norms","authors":"A. Kammoun, Abdeljalil Aissa El Bey, K. Abed-Meraim, S. Affes","doi":"10.1109/SPAWC.2010.5670867","DOIUrl":"https://doi.org/10.1109/SPAWC.2010.5670867","url":null,"abstract":"It has been very recently noted that it is possible to recover the blind channel estimate in case of channel order overmodeling by using ℓp quasi norms. But, to the best of our knowledge, there is, until now, no theoretical results that investigate this issue. In this paper, we propose to study the robustness of subspace blind methods using ℓp quasi-norms in the noiseless case and for nonsparse channels. More particularly, we provide conditions that ensures channel identifiability and study their frequency of occurence with respect to the system parameters.","PeriodicalId":436215,"journal":{"name":"2010 IEEE 11th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131386244","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":"Cross-layer frame synchronization for H.264 video over WIMAX","authors":"M. Martini, C. Hewage","doi":"10.1109/SPAWC.2010.5670989","DOIUrl":"https://doi.org/10.1109/SPAWC.2010.5670989","url":null,"abstract":"In the WIMAX (802.16e) standard several small medium access control (MAC) packets may be aggregated to form a MAC burst, forwarded to the physical (PHY) layer [1] The burst transmission is a mechanism to allow multiple MAC protocol data units (PDUs) belonging to the same video channel to be transmitted / received in an aggregated way, in order to enable power saving at the mobile station, by putting the transceiver in sleep mode during off-burst interval. As a consequence of it, at the receiver side individual packets should be isolated within a burst, i.e. frame synchronization should be performed. We propose here to forward soft values from the PHY to the MAC layer, and to use our previous results on frame synchronization based on soft values [2] [3]. In addition, we exploit here a-priori information on the prevalence of 1's or 0's in the video bitstream and in packet headers, by performing application-aware and channel-aware MAC layer frame synchronization. Results show that the proposed approach results in an evident gain, at the expense of a small additional complexity.","PeriodicalId":436215,"journal":{"name":"2010 IEEE 11th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128123605","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}