Pub Date : 2016-12-19DOI: 10.1109/SPAWC.2015.7226986
E. Larsson
Written by pioneers of the concept, this is the first complete guide to the physical and engineering principles of Massive MIMO. Assuming only a basic background in communications and statistical signal processing, it will guide readers through key topics in multi-cell systems such as propagation modeling, multiplexing and de-multiplexing, channel estimation, power control, and performance evaluation. The authors' unique capacity-bounding approach will enable readers to carry out effective system performance analyses and develop advanced Massive MIMO techniques and algorithms. Numerous case studies, as well as problem sets and solutions accompanying the book online, will help readers put knowledge into practice and acquire the skill set needed to design and analyze complex wireless communication systems. Whether you are a graduate student, researcher, or industry professional working in the field of wireless communications, this will be an indispensable guide for years to come.
{"title":"Fundamentals of massive MIMO","authors":"E. Larsson","doi":"10.1109/SPAWC.2015.7226986","DOIUrl":"https://doi.org/10.1109/SPAWC.2015.7226986","url":null,"abstract":"Written by pioneers of the concept, this is the first complete guide to the physical and engineering principles of Massive MIMO. Assuming only a basic background in communications and statistical signal processing, it will guide readers through key topics in multi-cell systems such as propagation modeling, multiplexing and de-multiplexing, channel estimation, power control, and performance evaluation. The authors' unique capacity-bounding approach will enable readers to carry out effective system performance analyses and develop advanced Massive MIMO techniques and algorithms. Numerous case studies, as well as problem sets and solutions accompanying the book online, will help readers put knowledge into practice and acquire the skill set needed to design and analyze complex wireless communication systems. Whether you are a graduate student, researcher, or industry professional working in the field of wireless communications, this will be an indispensable guide for years to come.","PeriodicalId":105190,"journal":{"name":"International Workshop on Signal Processing Advances in Wireless Communications","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131745756","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 : 2014-06-22DOI: 10.1109/SPAWC.2014.6941749
S. Sardellitti, G. Scutari, S. Barbarossa
We consider a MIMO multicell system wherein several Mobile Users (MUs) ask for computation offloading to a common cloud server through their femto-access points. We formulate the computation offloading problem as a joint optimization of the radio resources??the transmit precoding matrices of the MUs??and the computational resources??the CPU cycles/second assigned by the cloud to each MU??in order to minimize the overall users' energy consumption while meeting the latency constraints imposed by the applications running on the MUs. The resulting optimization problem is nonconvex (in the objective function and the constraints), and there are constraints coupling all the optimization variables. To cope with the nonconvexity, we hinge on successive convex approximation techniques and propose an iterative algorithm converging to a local optimal solution of the original nonconvex problem. The algorithm is also suitable for a parallel implementation across the access point, with limited coordination/signaling with the cloud. Numerical results show that the proposed joint optimization yields significant energy savings with respect to more traditional schemes performing a separate optimization of the radio and computational resources.
{"title":"Joint optimization of radio and computational resources for multicell mobile cloud computing","authors":"S. Sardellitti, G. Scutari, S. Barbarossa","doi":"10.1109/SPAWC.2014.6941749","DOIUrl":"https://doi.org/10.1109/SPAWC.2014.6941749","url":null,"abstract":"We consider a MIMO multicell system wherein several Mobile Users (MUs) ask for computation offloading to a common cloud server through their femto-access points. We formulate the computation offloading problem as a joint optimization of the radio resources??the transmit precoding matrices of the MUs??and the computational resources??the CPU cycles/second assigned by the cloud to each MU??in order to minimize the overall users' energy consumption while meeting the latency constraints imposed by the applications running on the MUs. The resulting optimization problem is nonconvex (in the objective function and the constraints), and there are constraints coupling all the optimization variables. To cope with the nonconvexity, we hinge on successive convex approximation techniques and propose an iterative algorithm converging to a local optimal solution of the original nonconvex problem. The algorithm is also suitable for a parallel implementation across the access point, with limited coordination/signaling with the cloud. Numerical results show that the proposed joint optimization yields significant energy savings with respect to more traditional schemes performing a separate optimization of the radio and computational resources.","PeriodicalId":105190,"journal":{"name":"International Workshop on Signal Processing Advances in Wireless Communications","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123756555","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 : 2005-06-05DOI: 10.1109/SPAWC.2005.1505908
A. Al-Ka'bi, J. Homer
In mobile wireless communication systems, the multipath propagation in addition to the movement of the receiver and/or the transmitter leads to drastic and random fluctuations of the received signal. For flat fading channels, the extended Suzuki process of type II has been proposed as a stochastic model of such received signal fluctuations. In this paper we discuss this stochastic model and an appropriate deterministic model, and subsequently present and analyze simulation results based on these models.
{"title":"Parameters computation of the extended mobile fading channel of type II","authors":"A. Al-Ka'bi, J. Homer","doi":"10.1109/SPAWC.2005.1505908","DOIUrl":"https://doi.org/10.1109/SPAWC.2005.1505908","url":null,"abstract":"In mobile wireless communication systems, the multipath propagation in addition to the movement of the receiver and/or the transmitter leads to drastic and random fluctuations of the received signal. For flat fading channels, the extended Suzuki process of type II has been proposed as a stochastic model of such received signal fluctuations. In this paper we discuss this stochastic model and an appropriate deterministic model, and subsequently present and analyze simulation results based on these models.","PeriodicalId":105190,"journal":{"name":"International Workshop on Signal Processing Advances in Wireless Communications","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128091588","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 : 2005-06-05DOI: 10.1109/SPAWC.2005.1506269
Yunxia Chen, Qing Zhao
This paper addresses the design of distributed transmission protocol for lifetime maximization in wireless sensor networks (WSNs). A dynamic protocol for lifetime maximization (DPLM) is proposed. This protocol exploits both the channel state information (CSI) and the residual energy information (REI) at each individual sensor. The principle of DPLM resembles the retirement planning strategy: be more opportunistic by prioritizing sensors with better channels for transmission when the network is young and more conservative by favoring sensors with more residual energy when the network is old. The asymptotic optimally of DPLM in terms of utilizing CSI is established analytically. The performance of DPLM is evaluated via simulations.
{"title":"Distributed transmission protocol for lifetime maximization in sensor networks","authors":"Yunxia Chen, Qing Zhao","doi":"10.1109/SPAWC.2005.1506269","DOIUrl":"https://doi.org/10.1109/SPAWC.2005.1506269","url":null,"abstract":"This paper addresses the design of distributed transmission protocol for lifetime maximization in wireless sensor networks (WSNs). A dynamic protocol for lifetime maximization (DPLM) is proposed. This protocol exploits both the channel state information (CSI) and the residual energy information (REI) at each individual sensor. The principle of DPLM resembles the retirement planning strategy: be more opportunistic by prioritizing sensors with better channels for transmission when the network is young and more conservative by favoring sensors with more residual energy when the network is old. The asymptotic optimally of DPLM in terms of utilizing CSI is established analytically. The performance of DPLM is evaluated via simulations.","PeriodicalId":105190,"journal":{"name":"International Workshop on Signal Processing Advances in Wireless Communications","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117067302","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 : 2005-06-05DOI: 10.1109/SPAWC.2005.1506066
S. Bahng, J. Liu, Anders Host-Madsen, X. Wang
We develop an analytical method to evaluate the symbol error rate (SER) of Tomlinson-Harashima precoding (THP) for a multiple transmit antenna system operating in a time division duplex (TDD) mode. By making small error assumption the noise due to the channel estimation error for a given channel is investigated thoroughly, which enables one to calculate the SER with channel estimation error.
{"title":"The effects of channel estimation on Tomlinson-Harashima precoding in TDD MIMO systems","authors":"S. Bahng, J. Liu, Anders Host-Madsen, X. Wang","doi":"10.1109/SPAWC.2005.1506066","DOIUrl":"https://doi.org/10.1109/SPAWC.2005.1506066","url":null,"abstract":"We develop an analytical method to evaluate the symbol error rate (SER) of Tomlinson-Harashima precoding (THP) for a multiple transmit antenna system operating in a time division duplex (TDD) mode. By making small error assumption the noise due to the channel estimation error for a given channel is investigated thoroughly, which enables one to calculate the SER with channel estimation error.","PeriodicalId":105190,"journal":{"name":"International Workshop on Signal Processing Advances in Wireless Communications","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123184395","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 : 2005-06-05DOI: 10.1109/SPAWC.2005.1506239
Wenyi Zhang, J. N. Laneman
We propose and analyze a communication scheme called recursive training with unitary modulation (RTUM) for correlated block fading channels with multiple inputs and multiple outputs (MIMO) and without channel state information (CSI). In RTUM, we employ unitary matrices as constellation symbols, and utilize a recursive procedure to perform channel estimation and demodulation/decoding in an alternating manner. Central benefits of RTUM include: low-complexity implementation; transformation of the original fading channel without CSI into a series of parallel subchannels, each with perfect receive CSI but additional Gaussian noise; and convenience of analysis. By inspecting the effective signal-to-noise ratio (SNR) of the RTUM, we are further able to identify three operating regimes that lead to distinct channel behaviors. For typical channels we establish a new rule of thumb that spectrally-efficient low-SNR "coherent" communication can be realized when the average channel SNR is larger than the mean square one-step prediction error of the block fading process.
{"title":"Recursive training with unitary modulation for correlated block-fading MIMO channels","authors":"Wenyi Zhang, J. N. Laneman","doi":"10.1109/SPAWC.2005.1506239","DOIUrl":"https://doi.org/10.1109/SPAWC.2005.1506239","url":null,"abstract":"We propose and analyze a communication scheme called recursive training with unitary modulation (RTUM) for correlated block fading channels with multiple inputs and multiple outputs (MIMO) and without channel state information (CSI). In RTUM, we employ unitary matrices as constellation symbols, and utilize a recursive procedure to perform channel estimation and demodulation/decoding in an alternating manner. Central benefits of RTUM include: low-complexity implementation; transformation of the original fading channel without CSI into a series of parallel subchannels, each with perfect receive CSI but additional Gaussian noise; and convenience of analysis. By inspecting the effective signal-to-noise ratio (SNR) of the RTUM, we are further able to identify three operating regimes that lead to distinct channel behaviors. For typical channels we establish a new rule of thumb that spectrally-efficient low-SNR \"coherent\" communication can be realized when the average channel SNR is larger than the mean square one-step prediction error of the block fading process.","PeriodicalId":105190,"journal":{"name":"International Workshop on Signal Processing Advances in Wireless Communications","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123888124","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 : 2005-06-05DOI: 10.1109/SPAWC.2005.1506052
J. López-Salcedo, G. Vazquez
In this paper, the problem of blind waveform identification of overlapped replicas is addressed. The proposed method departs from the unconditional maximum likelihood (UML) criterion and it makes use of the information regarding the signal subspace decomposition of the received signal. For the low-SNR regime, the paper shows that the UML criterion can be understood as a correlation matching approach in the transformed domain of the signal subspace. In addition, it is found that the initial set of unknowns is compressed into an smaller number of unknowns in this transformed domain. As a consequence, the solution space is reduced and the overall stability of the identification method is improved in front of the noise and possible ill-conditioned scenarios.
{"title":"NDA maximum-likelihood waveform identification by model selection in digital modulations","authors":"J. López-Salcedo, G. Vazquez","doi":"10.1109/SPAWC.2005.1506052","DOIUrl":"https://doi.org/10.1109/SPAWC.2005.1506052","url":null,"abstract":"In this paper, the problem of blind waveform identification of overlapped replicas is addressed. The proposed method departs from the unconditional maximum likelihood (UML) criterion and it makes use of the information regarding the signal subspace decomposition of the received signal. For the low-SNR regime, the paper shows that the UML criterion can be understood as a correlation matching approach in the transformed domain of the signal subspace. In addition, it is found that the initial set of unknowns is compressed into an smaller number of unknowns in this transformed domain. As a consequence, the solution space is reduced and the overall stability of the identification method is improved in front of the noise and possible ill-conditioned scenarios.","PeriodicalId":105190,"journal":{"name":"International Workshop on Signal Processing Advances in Wireless Communications","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124565536","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 : 2005-06-05DOI: 10.1109/SPAWC.2005.1506273
B. Cheng, R. E. Hudson, F. Lorenzelli, L. Vandenberghe, Kung Yao
We present distributed algorithms for sensor localization based on the Gauss-Newton method. Each sensor updates its estimated location by computing the Gauss-Newton step for a local cost function and choosing a proper step length. Then it transmits the updated estimate to all the neighboring sensors. The proposed algorithms provide non-increasing values of a global cost function. It is shown in the paper that the algorithms have computational complexity of O(n) per iteration and a reduced communication cost over centralized algorithms.
{"title":"Distributed Gauss-Newton method for node loclaization in wireless sensor networks","authors":"B. Cheng, R. E. Hudson, F. Lorenzelli, L. Vandenberghe, Kung Yao","doi":"10.1109/SPAWC.2005.1506273","DOIUrl":"https://doi.org/10.1109/SPAWC.2005.1506273","url":null,"abstract":"We present distributed algorithms for sensor localization based on the Gauss-Newton method. Each sensor updates its estimated location by computing the Gauss-Newton step for a local cost function and choosing a proper step length. Then it transmits the updated estimate to all the neighboring sensors. The proposed algorithms provide non-increasing values of a global cost function. It is shown in the paper that the algorithms have computational complexity of O(n) per iteration and a reduced communication cost over centralized algorithms.","PeriodicalId":105190,"journal":{"name":"International Workshop on Signal Processing Advances in Wireless Communications","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122864671","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 : 2005-06-05DOI: 10.1109/SPAWC.2005.1506237
A. Tarighat, A. H. Sayed
The implementation of OFDM-based systems suffers from impairments such as in-phase and quadrature-phase (IQ) imbalances in the front-end analog processing. Such imbalances are caused by the analog processing of the radio frequency (RF) signal and can be present at both the transmitter and receiver. The resulting IQ distortion limits the achievable operating SNR at the receiver and the achievable data rates. In this paper, the effect of both the transmitter and receiver IQ imbalances in an OFDM system is studied and algorithms are developed to compensate for such distortions.
{"title":"OFDM systems with both transmitter and receiver IQ imbalances","authors":"A. Tarighat, A. H. Sayed","doi":"10.1109/SPAWC.2005.1506237","DOIUrl":"https://doi.org/10.1109/SPAWC.2005.1506237","url":null,"abstract":"The implementation of OFDM-based systems suffers from impairments such as in-phase and quadrature-phase (IQ) imbalances in the front-end analog processing. Such imbalances are caused by the analog processing of the radio frequency (RF) signal and can be present at both the transmitter and receiver. The resulting IQ distortion limits the achievable operating SNR at the receiver and the achievable data rates. In this paper, the effect of both the transmitter and receiver IQ imbalances in an OFDM system is studied and algorithms are developed to compensate for such distortions.","PeriodicalId":105190,"journal":{"name":"International Workshop on Signal Processing Advances in Wireless Communications","volume":"223 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115758719","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 : 2005-06-05DOI: 10.1109/SPAWC.2005.1506202
A. Sadek, Weifeng Su, K.J.R. Liu
In this paper, a class of cooperative communication protocols with arbitrary N-relay nodes is proposed for wireless networks, in which each relay coherently combines the signals received from the source and m (1/spl les/m/spl les/N-1) previous relays. Exact symbol-error-rate (SER) expressions for an arbitrary N-node network employing MPSK or QAM modulation are derived. Also an approximate expression for the SER, that is tight at high SNR, is provided. Furthermore, an optimal power allocation problem based on minimizing the asymptotically tight SER expression is formulated. Closed form solutions for the optimal power allocation problem are provided for some network topologies.
{"title":"A class of cooperative communication protocols for multi-node wireless networks","authors":"A. Sadek, Weifeng Su, K.J.R. Liu","doi":"10.1109/SPAWC.2005.1506202","DOIUrl":"https://doi.org/10.1109/SPAWC.2005.1506202","url":null,"abstract":"In this paper, a class of cooperative communication protocols with arbitrary N-relay nodes is proposed for wireless networks, in which each relay coherently combines the signals received from the source and m (1/spl les/m/spl les/N-1) previous relays. Exact symbol-error-rate (SER) expressions for an arbitrary N-node network employing MPSK or QAM modulation are derived. Also an approximate expression for the SER, that is tight at high SNR, is provided. Furthermore, an optimal power allocation problem based on minimizing the asymptotically tight SER expression is formulated. Closed form solutions for the optimal power allocation problem are provided for some network topologies.","PeriodicalId":105190,"journal":{"name":"International Workshop on Signal Processing Advances in Wireless Communications","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124918752","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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