IEEE 6th Workshop on Signal Processing Advances in Wireless Communications, 2005.最新文献_第2页

Throughput analysis in wideband MIMO broadcast channels with partial feedback 带部分反馈的宽带MIMO广播信道吞吐量分析

IEEE 6th Workshop on Signal Processing Advances in Wireless Communications, 2005. Pub Date : 2005-06-05 DOI: 10.1109/SPAWC.2005.1506244

M. J. Fakhereddin, M. Sharif, B. Hassibi

{"title":"Throughput analysis in wideband MIMO broadcast channels with partial feedback","authors":"M. J. Fakhereddin, M. Sharif, B. Hassibi","doi":"10.1109/SPAWC.2005.1506244","DOIUrl":"https://doi.org/10.1109/SPAWC.2005.1506244","url":null,"abstract":"It has been recently shown that opportunistic transmit beamforming using partial channel state information (CSI) achieves the same throughput scaling obtained from dirty paper coding for a broadcast channel with fixed number of transmit antennas and many receivers M. Sharif et al., (2005). In this paper, we study the generalization of this scheme to wideband broadcast channels. By using orthogonal frequency division multiplexing, an L-tap wideband channel can be decomposed to N parallel narrowband channels, where N is larger than L. Neighboring subchannels are therefore highly correlated, and it is intuitive to say that each group of neighboring subchannels (forming a cluster) can be characterized by one channel quality. We show in this paper that users need only feedback the best signal-to-noise-plus-interference ratio at the center of each cluster. Our results indicate that for cluster size of order N/L/spl radic/K, where K is the number of users, this feedback scheme maintains the same throughput scaling as when full CSI is known. Simulation results show that larger cluster sizes (N/2L) can also be implemented for a small throughput hit.","PeriodicalId":273666,"journal":{"name":"IEEE 6th Workshop on Signal Processing Advances in Wireless Communications, 2005.","volume":"1 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":"130052578","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}

引用次数: 7

Temporal fairness enhanced scheduling for cooperative relaying networks in low mobility fading environments 低移动性衰落环境下时间公平性增强的协同中继网络调度

IEEE 6th Workshop on Signal Processing Advances in Wireless Communications, 2005. Pub Date : 2005-06-05 DOI: 10.1109/SPAWC.2005.1506080

Ingmar Hammerstriim, Jian Zhao, Armin Wittneben

引用次数: 8

On different LDPC-based joint source-channel optimised decoding schemes 基于ldpc的联合信源信道优化译码方案

IEEE 6th Workshop on Signal Processing Advances in Wireless Communications, 2005. Pub Date : 2005-06-05 DOI: 10.1109/SPAWC.2005.1506058

C. Poulliat, David Declercq, I. Fijalkow, Catherine Lamy-Bergot

引用次数: 2

Limited feedback signaling for MIMO broadcast channels MIMO广播信道的有限反馈信令

IEEE 6th Workshop on Signal Processing Advances in Wireless Communications, 2005. Pub Date : 2005-06-05 DOI: 10.1109/SPAWC.2005.1506261

James, KimtS, Kwaag, Lees

{"title":"Limited feedback signaling for MIMO broadcast channels","authors":"James, KimtS, Kwaag, Lees","doi":"10.1109/SPAWC.2005.1506261","DOIUrl":"https://doi.org/10.1109/SPAWC.2005.1506261","url":null,"abstract":"Recently, a number of techniques have been introduced to exploit multiuser diversity of a wireless multiple input multiple output (MIMO) broadcast channel (BC) that consists of a base station (BS) with t transmit antennas and K mobile stations (MS) with multiple antennas. However, prior works have ignored the rate overhead associated with feedback of MIMO BC channel state information (CSI), which is roughly K times larger than single-user MIMO CSI (i.e., it is O(tr) where r=/spl Sigma//sub k=1//sup K/r/sub k/ and r/sub k/ is the number of antennas at the kth MS). Considering the amount of feedback signaling, quantization is a necessity for effective feedback transmission as a form of partial CSI. In this paper, we propose the greedy multi-channel selection diversity (greedy MCSD) scheme bases on block MMSE QR decomposition with dirty paper coding (block MMSE-DP), where partial CSI is almost sufficient. The sum-rate performance of our novel scheme approaches extremely close to the sum capacity of MIMO BC as the number of users increases, whereas the feedback overhead is reduced by a factor of 2t/sup 3//L(t/sup 2/-t), in which L is the number of active channel vectors. Simulation results validate the expectation from the analysis.","PeriodicalId":273666,"journal":{"name":"IEEE 6th Workshop on Signal Processing Advances in Wireless Communications, 2005.","volume":"108 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":"133924105","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}

引用次数: 28

A receiver architecture for maximum diversity transmissions over doubly-selective channels 在双选择信道上实现最大分集传输的一种接收机结构

IEEE 6th Workshop on Signal Processing Advances in Wireless Communications, 2005. Pub Date : 2005-06-05 DOI: 10.1109/SPAWC.2005.1505894

Z. Tang, G. Leus

引用次数: 4

The MIMO Gaussian broadcast channel: theoretical and system aspects MIMO高斯广播信道:理论和系统方面

IEEE 6th Workshop on Signal Processing Advances in Wireless Communications, 2005. Pub Date : 2005-06-05 DOI: 10.1109/SPAWC.2005.1505858

G. Caire

{"title":"The MIMO Gaussian broadcast channel: theoretical and system aspects","authors":"G. Caire","doi":"10.1109/SPAWC.2005.1505858","DOIUrl":"https://doi.org/10.1109/SPAWC.2005.1505858","url":null,"abstract":"The MIMO-GBC is an idealized model of a downlink channel, where both the base station and the receivers may have more than one antenna. Despite its simplicity, it represents a very rich information-theoretic problem since it belongs to the very restricted class of non-degraded broadcast channels for which the whole capacity region has been fully characterized. In the past few years an impressive amount of exciting results in information theory, signal processing and channel coding have been generated, driven by the thorough investigation of the MIMO Gaussian Broadcast Channel (MIMO-GBC) model. Remarkably, its capacity region is achieved by a mix of \"traditional\" signal processing approaches suitably extended and reviewed: namely, beamforming and modulo pre-coding. As a side-effect of this investigation, beamforming and modulo pre-coding have enjoyed a whole fresh look and greatly renewed interest in current research. In this talk we shortly overview the main information-theoretic results about the MIMO-GBC, and their implications in terms of signal-processing and channel coding. Also, we shall give an overview of some practical proposals to the downlink transmission with multiple antennas and comment about recent results on suboptimal systems approaching the MIMO-GBC capacity limits in certain regimes.","PeriodicalId":273666,"journal":{"name":"IEEE 6th Workshop on Signal Processing Advances in Wireless Communications, 2005.","volume":"22 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":"114508661","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}

引用次数: 3

Capacity-approaching LDPC codes based on Markov Chain Monte Carlo MIMO detection 基于马尔可夫链蒙特卡罗MIMO检测的容量逼近LDPC码

IEEE 6th Workshop on Signal Processing Advances in Wireless Communications, 2005. Pub Date : 2005-06-05 DOI: 10.1109/SPAWC.2005.1505917

Rong-Rong Chen, Behrouz Farhang-Boroujzny, Alexei Ashikhmin

引用次数: 5

Performance analysis of subspace-based signature waveform estimation algorithms for DS-CDMA systems with unknown correlated noise 未知相关噪声下基于子空间的DS-CDMA系统特征波形估计算法性能分析

IEEE 6th Workshop on Signal Processing Advances in Wireless Communications, 2005. Pub Date : 2005-06-05 DOI: 10.1109/SPAWC.2005.1506210

K. Zarifi, A. Gershman

引用次数: 3

Enabling adaptive modulation and interference mitigation for slow frequency hopping communications 为慢跳频通信启用自适应调制和干扰缓解

IEEE 6th Workshop on Signal Processing Advances in Wireless Communications, 2005. Pub Date : 2005-06-05 DOI: 10.1109/SPAWC.2005.1506045

Ming Lei, A. Duel-Hallen, Hans Hallen

引用次数: 6

Cross-layer QoS management in scheduled multi-user systems 调度多用户系统的跨层QoS管理

IEEE 6th Workshop on Signal Processing Advances in Wireless Communications, 2005. Pub Date : 2005-06-05 DOI: 10.1109/SPAWC.2005.1506079

B. Zerlin, J. Nossek

引用次数: 5