Pub Date : 2011-06-26DOI: 10.1109/SPAWC.2011.5990394
P. Baracca, S. Tomasin, N. Benvenuto
Multicell processing has been recognized as a solution to improve spectral efficiency in future wireless networks. However, the sharing of channel information and data among base stations (BSs) requires an higher backhaul throughput, which is not provided by current cellular systems. In this paper we consider a downlink multicell scenario with constraints on the backhaul throughput and BSs employing beamforming and QAM constellations. As for each mobile terminal (MT) the auxiliary BSs know only a partial version of data, we propose a transmission scheme where a quantized QAM symbol is transmitted cooperatively by all the BSs in the network, while the serving BS transmits an additional signal in order to allow the detection of the full QAM symbol at the receiver. We formulate the problem of maximizing the network spectral efficiency optimizing for each MT a) the QAM constellation size and b) the quantization rate. Numerical results provided for typical cellular scenarios show that the proposed practical approach outperforms in terms of network spectral efficiency both the case of single cell transmission and the case of full network coordination due to the backhaul constraints.
多小区处理已被认为是未来无线网络中提高频谱效率的一种解决方案。然而，在基站(BSs)之间共享信道信息和数据需要更高的回程吞吐量，这是当前蜂窝系统所不能提供的。在本文中，我们考虑了一种具有回程吞吐量约束的下行链路多蜂窝场景，并采用波束形成和QAM星座的BSs。针对每个移动终端辅助基站只知道部分数据的情况，我们提出了一种传输方案，即网络中所有基站协同传输量化的QAM符号，而服务基站则发送额外的信号，以便在接收端检测到完整的QAM符号。我们将网络频谱效率优化最大化的问题表述为每个MT a) QAM星座大小和b)量化率。典型蜂窝场景的数值结果表明，该方法在单蜂窝传输和由于回程约束的全网协调情况下，在网络频谱效率方面都优于实际方法。
{"title":"Downlink multicell processing employing QAM quantization under a constrained backhaul","authors":"P. Baracca, S. Tomasin, N. Benvenuto","doi":"10.1109/SPAWC.2011.5990394","DOIUrl":"https://doi.org/10.1109/SPAWC.2011.5990394","url":null,"abstract":"Multicell processing has been recognized as a solution to improve spectral efficiency in future wireless networks. However, the sharing of channel information and data among base stations (BSs) requires an higher backhaul throughput, which is not provided by current cellular systems. In this paper we consider a downlink multicell scenario with constraints on the backhaul throughput and BSs employing beamforming and QAM constellations. As for each mobile terminal (MT) the auxiliary BSs know only a partial version of data, we propose a transmission scheme where a quantized QAM symbol is transmitted cooperatively by all the BSs in the network, while the serving BS transmits an additional signal in order to allow the detection of the full QAM symbol at the receiver. We formulate the problem of maximizing the network spectral efficiency optimizing for each MT a) the QAM constellation size and b) the quantization rate. Numerical results provided for typical cellular scenarios show that the proposed practical approach outperforms in terms of network spectral efficiency both the case of single cell transmission and the case of full network coordination due to the backhaul constraints.","PeriodicalId":102244,"journal":{"name":"2011 IEEE 12th International Workshop on Signal Processing Advances in Wireless Communications","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115654103","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}
Pub Date : 2011-06-26DOI: 10.1109/SPAWC.2011.5990389
Eric J. Msechu, G. Giannakis
Motivated by the savings in communication bandwidth and sensor transmission energy, data selection for estimation with wireless sensor networks is investigated in this paper. Existing approaches to data selection inherently treat sensing and transmission to a central fusion unit as of equal cost. However, energy expenditure in sensing is generally a fraction of that needed for communication. To alleviate the latter, measurement censoring at sensor nodes is proposed here for data reduction, along with a novel maximum likelihood estimator that optimally incorporates knowledge of the censored data model. Furthermore, a closed-form expression for the Cramér-Rao lower bound on the estimator variance is presented. Numerical studies show that the estimator using censored measurements achieves error values that are competitive with alternative methods, under various sensing conditions, while retaining lower computational complexity.
{"title":"Distributed measurement censoring for estimation with wireless sensor networks","authors":"Eric J. Msechu, G. Giannakis","doi":"10.1109/SPAWC.2011.5990389","DOIUrl":"https://doi.org/10.1109/SPAWC.2011.5990389","url":null,"abstract":"Motivated by the savings in communication bandwidth and sensor transmission energy, data selection for estimation with wireless sensor networks is investigated in this paper. Existing approaches to data selection inherently treat sensing and transmission to a central fusion unit as of equal cost. However, energy expenditure in sensing is generally a fraction of that needed for communication. To alleviate the latter, measurement censoring at sensor nodes is proposed here for data reduction, along with a novel maximum likelihood estimator that optimally incorporates knowledge of the censored data model. Furthermore, a closed-form expression for the Cramér-Rao lower bound on the estimator variance is presented. Numerical studies show that the estimator using censored measurements achieves error values that are competitive with alternative methods, under various sensing conditions, while retaining lower computational complexity.","PeriodicalId":102244,"journal":{"name":"2011 IEEE 12th International Workshop on Signal Processing Advances in Wireless Communications","volume":"120 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132078706","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}
Pub Date : 2011-06-26DOI: 10.1109/SPAWC.2011.5990400
Nico Aerts, I. Avram, M. Moeneclaey
Several diversity techniques have been proposed to counteract the effect of fading on the error performance of wireless networks. A recent and promising technique, which achieves spatial diversity without increased hardware demands, is cooperative communication, involving other terminals in the network that relay the information broadcasted by the source terminal to the destination terminal. In literature several cooperative protocols have been studied under the simplifying assumption that all channel state information is available at the destination. In this paper, we use the space-alternating generalized expectation-maximization (SAGE) algorithm to perform codeaided iterative channel estimation from the broadcasted signals in an Amplify-and-Forward protocol, and investigate the resulting error performance.
{"title":"Maximum-likelihood channel estimation in block fading amplify-and-forward relaying networks","authors":"Nico Aerts, I. Avram, M. Moeneclaey","doi":"10.1109/SPAWC.2011.5990400","DOIUrl":"https://doi.org/10.1109/SPAWC.2011.5990400","url":null,"abstract":"Several diversity techniques have been proposed to counteract the effect of fading on the error performance of wireless networks. A recent and promising technique, which achieves spatial diversity without increased hardware demands, is cooperative communication, involving other terminals in the network that relay the information broadcasted by the source terminal to the destination terminal. In literature several cooperative protocols have been studied under the simplifying assumption that all channel state information is available at the destination. In this paper, we use the space-alternating generalized expectation-maximization (SAGE) algorithm to perform codeaided iterative channel estimation from the broadcasted signals in an Amplify-and-Forward protocol, and investigate the resulting error performance.","PeriodicalId":102244,"journal":{"name":"2011 IEEE 12th International Workshop on Signal Processing Advances in Wireless Communications","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114491717","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}
Pub Date : 2011-06-26DOI: 10.1109/SPAWC.2011.5990466
Po-Sen Wang, K.W. Lu, D. Lin, Pangan Ting
We consider initial downlink synchronization for the emerging IEEE 802.16m standard. Such synchronization involves estimation of the carrier frequency offset, signal timing, and the index of “Primary Advanced Preamble” (PA-Preamble) over a multipath channel. We first give a brief overview of some relevant signal properties in IEEE 802.16m. These properties are rather different from other recent standards to the point of needing a new synchronization algorithm. We develop a synchronization method based on the maximum likelihood (ML) principle. It turns out that the multipath channel response is also estimated along the way. The resulting method is considered quasi-ML because some approximations are used to simplify computation. Simulation results are presented to illustrate its performance.
{"title":"Quasi-maximum likelihood initial downlink synchronization for IEEE 802.16m","authors":"Po-Sen Wang, K.W. Lu, D. Lin, Pangan Ting","doi":"10.1109/SPAWC.2011.5990466","DOIUrl":"https://doi.org/10.1109/SPAWC.2011.5990466","url":null,"abstract":"We consider initial downlink synchronization for the emerging IEEE 802.16m standard. Such synchronization involves estimation of the carrier frequency offset, signal timing, and the index of “Primary Advanced Preamble” (PA-Preamble) over a multipath channel. We first give a brief overview of some relevant signal properties in IEEE 802.16m. These properties are rather different from other recent standards to the point of needing a new synchronization algorithm. We develop a synchronization method based on the maximum likelihood (ML) principle. It turns out that the multipath channel response is also estimated along the way. The resulting method is considered quasi-ML because some approximations are used to simplify computation. Simulation results are presented to illustrate its performance.","PeriodicalId":102244,"journal":{"name":"2011 IEEE 12th International Workshop on Signal Processing Advances in Wireless Communications","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116796873","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}
Pub Date : 2011-06-26DOI: 10.1109/SPAWC.2011.5990407
R. Carvajal, J. Aguero, Boris I. Godoy, G. Goodwin
Phase noise is of importance in OFDM systems, since it generates intercarrier interference and general system performance degradation. In this paper we analyse the accuracy of maximum likelihood estimation of the phase noise bandwidth for OFDM systems. We utilize the auxiliary functions used in the EM algorithm to obtain an expression for the Fisher information matrix. Our key conclusion is that it is difficult to obtain accurate estimates of the phase noise bandwidth for practical cases when the number of subcarriers is limited.
{"title":"On the accuracy of phase noise bandwidth estimation in OFDM systems","authors":"R. Carvajal, J. Aguero, Boris I. Godoy, G. Goodwin","doi":"10.1109/SPAWC.2011.5990407","DOIUrl":"https://doi.org/10.1109/SPAWC.2011.5990407","url":null,"abstract":"Phase noise is of importance in OFDM systems, since it generates intercarrier interference and general system performance degradation. In this paper we analyse the accuracy of maximum likelihood estimation of the phase noise bandwidth for OFDM systems. We utilize the auxiliary functions used in the EM algorithm to obtain an expression for the Fisher information matrix. Our key conclusion is that it is difficult to obtain accurate estimates of the phase noise bandwidth for practical cases when the number of subcarriers is limited.","PeriodicalId":102244,"journal":{"name":"2011 IEEE 12th International Workshop on Signal Processing Advances in Wireless Communications","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115071287","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}
Pub Date : 2011-06-26DOI: 10.1109/SPAWC.2011.5990461
Olga Munoz-Medina, A. Pascual-Iserte, P. Baquero, J. Vidal
This paper addresses the problem of resource allocation and quality of service (QoS) management in a downlink communication system where the users are allowed to be attached to and receive data from one or several cooperating base stations (BSs) under orthogonal frequency division multiple access (OFDMA). Under the assumption that only information regarding the link path loss is available at each transmitter, the problem of power and bandwidth allocation to minimize transmission power subject to minimum rate (i.e., QoS) constraints is written as a convex optimization problem. Considering that the transmission power per BS is limited, the Lagrange multipliers of the optimization problem are exploited either to efficiently identify which are the candidates to be preempted whenever unaffordable power consumption arises, or to relax the target rate constraints for the ongoing connections. In the second case, the Lagrange multipliers are used in combination with the Newton- Raphson algorithm to adjust the QoS of the users in the system according to the available BS power.
{"title":"Preemption and QOS management algorithms for coordinated and uncoordinated base stations","authors":"Olga Munoz-Medina, A. Pascual-Iserte, P. Baquero, J. Vidal","doi":"10.1109/SPAWC.2011.5990461","DOIUrl":"https://doi.org/10.1109/SPAWC.2011.5990461","url":null,"abstract":"This paper addresses the problem of resource allocation and quality of service (QoS) management in a downlink communication system where the users are allowed to be attached to and receive data from one or several cooperating base stations (BSs) under orthogonal frequency division multiple access (OFDMA). Under the assumption that only information regarding the link path loss is available at each transmitter, the problem of power and bandwidth allocation to minimize transmission power subject to minimum rate (i.e., QoS) constraints is written as a convex optimization problem. Considering that the transmission power per BS is limited, the Lagrange multipliers of the optimization problem are exploited either to efficiently identify which are the candidates to be preempted whenever unaffordable power consumption arises, or to relax the target rate constraints for the ongoing connections. In the second case, the Lagrange multipliers are used in combination with the Newton- Raphson algorithm to adjust the QoS of the users in the system according to the available BS power.","PeriodicalId":102244,"journal":{"name":"2011 IEEE 12th International Workshop on Signal Processing Advances in Wireless Communications","volume":"116 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123156638","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}
Pub Date : 2011-06-26DOI: 10.1109/SPAWC.2011.5990459
I. Slim, A. Mezghani, J. Nossek
Based on maximizing the sum of lower bounds derived for the uplink (UL) and the downlink (DL) rates with imperfect Channel State Information (CSI), overhead optimization i.e. finding the optimum lengths of the UL and DL pilots and feedback bits, is performed. Estimated CSI and quantized Channel Direction Information (CDI), which may be received erroneously, are available at the Base Station (BS) for computing the receive and the transmit Wiener filters (WF), respectively. Using large system analysis, we were able to derive analytical DL and UL mean squared error (MSE) expressions that give a lower bound of the DL and UL rates, respectively, needed for our optimization.
{"title":"MMSE based FDD overhead optimization for a multiuser two-way system","authors":"I. Slim, A. Mezghani, J. Nossek","doi":"10.1109/SPAWC.2011.5990459","DOIUrl":"https://doi.org/10.1109/SPAWC.2011.5990459","url":null,"abstract":"Based on maximizing the sum of lower bounds derived for the uplink (UL) and the downlink (DL) rates with imperfect Channel State Information (CSI), overhead optimization i.e. finding the optimum lengths of the UL and DL pilots and feedback bits, is performed. Estimated CSI and quantized Channel Direction Information (CDI), which may be received erroneously, are available at the Base Station (BS) for computing the receive and the transmit Wiener filters (WF), respectively. Using large system analysis, we were able to derive analytical DL and UL mean squared error (MSE) expressions that give a lower bound of the DL and UL rates, respectively, needed for our optimization.","PeriodicalId":102244,"journal":{"name":"2011 IEEE 12th International Workshop on Signal Processing Advances in Wireless Communications","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129762759","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}
Pub Date : 2011-06-26DOI: 10.1109/SPAWC.2011.5990440
L. Jacobs, M. Moeneclaey, A. Conti
Multiple-input multiple-output (MIMO) systems employing adaptive modulation have been widely used for their potential to optimize the spectral efficiency while keeping the bit error probability (BEP) under a certain target level. In this paper, we examine a MIMO system using square orthogonal space-time block codes (OSTBCs) with rate-adaptive M-QAM and operating over arbitrarily correlated Rayleigh fading channels with imperfect channel estimation. Assuming finite-rate feedback without delay, we derive accurate closed-form expressions for the average BEP, spectral efficiency and bit error outage of our system. The presented expressions allow to easily study the impact of channel estimation errors and fading correlation on the performance of rate-adaptive MIMO OSTBC systems.
{"title":"Rate-adaptive modulation for square OSTBCs in arbitrarily correlated Rayleigh fading with imperfect channel estimation","authors":"L. Jacobs, M. Moeneclaey, A. Conti","doi":"10.1109/SPAWC.2011.5990440","DOIUrl":"https://doi.org/10.1109/SPAWC.2011.5990440","url":null,"abstract":"Multiple-input multiple-output (MIMO) systems employing adaptive modulation have been widely used for their potential to optimize the spectral efficiency while keeping the bit error probability (BEP) under a certain target level. In this paper, we examine a MIMO system using square orthogonal space-time block codes (OSTBCs) with rate-adaptive M-QAM and operating over arbitrarily correlated Rayleigh fading channels with imperfect channel estimation. Assuming finite-rate feedback without delay, we derive accurate closed-form expressions for the average BEP, spectral efficiency and bit error outage of our system. The presented expressions allow to easily study the impact of channel estimation errors and fading correlation on the performance of rate-adaptive MIMO OSTBC systems.","PeriodicalId":102244,"journal":{"name":"2011 IEEE 12th International Workshop on Signal Processing Advances in Wireless Communications","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116579338","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}
Pub Date : 2011-06-26DOI: 10.1109/SPAWC.2011.5990485
Lei Jiao, Meisam Razaviyayn, Enbin Song, Z. Luo, F. Li
Consider power allocation for Secondary User (SU) packet transmissions over multiple channels with variable Primary User (PU) arrival rates in cognitive radio networks. Two problems are studied in this paper: The first one is to minimize the collision probability with PUs and the second one is to maximize the data rate while keeping the collision probability bounded. It is shown that the optimal solution for the first problem is to allocate all power onto the best channel based on a certain criterion. The second problem with a per-channel power budget constraint is proven to be NP-hard and therefore a pseudo-polynomial time solution for the problem is proposed. When a total power budget for all channels is imposed in the second problem, a computationally efficient algorithm is introduced. The proposed algorithms are validated by numerical experiments.
{"title":"Power allocation in multi-channel cognitive radio networks with channel assembling","authors":"Lei Jiao, Meisam Razaviyayn, Enbin Song, Z. Luo, F. Li","doi":"10.1109/SPAWC.2011.5990485","DOIUrl":"https://doi.org/10.1109/SPAWC.2011.5990485","url":null,"abstract":"Consider power allocation for Secondary User (SU) packet transmissions over multiple channels with variable Primary User (PU) arrival rates in cognitive radio networks. Two problems are studied in this paper: The first one is to minimize the collision probability with PUs and the second one is to maximize the data rate while keeping the collision probability bounded. It is shown that the optimal solution for the first problem is to allocate all power onto the best channel based on a certain criterion. The second problem with a per-channel power budget constraint is proven to be NP-hard and therefore a pseudo-polynomial time solution for the problem is proposed. When a total power budget for all channels is imposed in the second problem, a computationally efficient algorithm is introduced. The proposed algorithms are validated by numerical experiments.","PeriodicalId":102244,"journal":{"name":"2011 IEEE 12th International Workshop on Signal Processing Advances in Wireless Communications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122973130","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}
Pub Date : 2011-06-26DOI: 10.1109/SPAWC.2011.5990397
Cihan Tepedelenlio?glu, A. Rajan, Y. Zhang
This paper introduces stochastic ordering of the instantaneous SNRs of fading channels as a tool to relate and compare the average performance of communication systems over different channels by harnessing the relation between completely monotone (c.m.) functions and the stochastic Laplace transform (LT) order. Toward this goal, instantaneous error rates of M-QAM and M-PSK modulations are shown to be c.m. functions of the instantaneous SNR, while the instantaneous capacity is seen to have a completely monotonic derivative (c.m.d.). Further, examples of commonly used parametric fading distributions which exhibit a monotonicity in the parameter with respect to the LT order are developed.
{"title":"Stochastic ordering of fading channels","authors":"Cihan Tepedelenlio?glu, A. Rajan, Y. Zhang","doi":"10.1109/SPAWC.2011.5990397","DOIUrl":"https://doi.org/10.1109/SPAWC.2011.5990397","url":null,"abstract":"This paper introduces stochastic ordering of the instantaneous SNRs of fading channels as a tool to relate and compare the average performance of communication systems over different channels by harnessing the relation between completely monotone (c.m.) functions and the stochastic Laplace transform (LT) order. Toward this goal, instantaneous error rates of M-QAM and M-PSK modulations are shown to be c.m. functions of the instantaneous SNR, while the instantaneous capacity is seen to have a completely monotonic derivative (c.m.d.). Further, examples of commonly used parametric fading distributions which exhibit a monotonicity in the parameter with respect to the LT order are developed.","PeriodicalId":102244,"journal":{"name":"2011 IEEE 12th International Workshop on Signal Processing Advances in Wireless Communications","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116450969","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}
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