The Experts below are selected from a list of 15384 Experts worldwide ranked by ideXlab platform
Harald Haas - One of the best experts on this subject based on the ideXlab platform.
-
Performance Analysis of Receive Space Modulation in the Shadowing MIMO Broadcast Channel
IEEE Transactions on Communications, 2017Co-Authors: Athanasios Stavridis, Marco Di Renzo, Peter Grant, Harald HaasAbstract:In this paper, the performance analysis of Receive Space Modulation (RSM) in the shadowing Multiple-Input Multiple-Output (MIMO) Broadcast Channel is presented. This is undertaken by considering Zero Forcing (ZF) precoding and both small and large scale fading. In particular, a closed form and accurate framework for the evaluation of the Symbol Error Rate (SER) is derived. In addition, the diversity order and the coding gain of the new architecture are also obtained. The derived framework can be directly extended to the conventional spatially multiplexed shadowing MIMO Broadcast Channel. It is shown that RSM achieves the same diversity order and, in certain scenarios which are well defined, higher coding gain than spatially multiplexing (SMX). Also, the performance difference between RSM and SMX in the shadowing Broadcast Channel is mathematically quantified. Finally, numerical results that verify the new framework and conclusions are provided.
-
Performance Analysis of Multistream Receive Spatial Modulation in the MIMO Broadcast Channel
IEEE Transactions on Wireless Communications, 2016Co-Authors: Athanasios Stavridis, Marco Di Renzo, Harald HaasAbstract:In this paper, Multi-Stream Receive-Spatial Modulation (MSR-SM) for application to the Multiple-Input Multiple-Output (MIMO) Broadcast Channel is introduced and studied. MSR-SM is a closed-loop transmission scheme, which applies the concept of multistream space modulation at the receiver side. An accurate mathematical framework for the evaluation of the Bit Error Rate (BER) is proposed. In addition, the diversity order and coding gain of the new architecture are derived. Note that the proposed analytical framework takes into account both the small-scale fading and the system topology, and is directly applicable to the conventional MIMO Broadcast Channel. Compared with the state-of-the-art MIMO transmission in the Broadcast Channel, it is mathematically shown that MSR-SM achieves the same diversity order and a better coding gain, in the high Signal-to-Noise Ratio (SNR) regime. Finally, the proposed mathematical framework and the new findings are validated via Monte Carlo simulation results.
-
On the asymptotic performance of receive space modulation in the shadowing Broadcast Channel
IEEE Communications Letters, 2016Co-Authors: Athanasios Stavridis, Marco Di Renzo, Peter M. Grant, Harald HaasAbstract:In this letter, the diversity order and the coding gain of Receive Space Modulation (RSM) in the Multiple-Input Multiple-Output (MIMO) Broadcast Channel are derived by taking into account both small and large scale fading. The considered linear precoding method is Zero Forcing (ZF). Note that the proposed framework is directly applicable to the conventional spatially multiplexed Broadcast Channel. Based on the derived mathematical framework, a theoretical criterion is provided, which determines the superiority between the deployment of RSM and Spatial MultipleXing (SMX) in the shadowing MIMO Broadcast Channel. Finally, the provided theoretical results are validated via Monte Carlo simulation results.
-
On the performance of multi-stream receive spatial modulation in the MIMO Broadcast Channel
2015 IEEE Global Communications Conference GLOBECOM 2015, 2015Co-Authors: Athanasios Stavridis, Marco Di Renzo, Harald HaasAbstract:In this paper, a novel architecture for the Multiple-Input Multiple-Output (MIMO) Broadcast Channel is proposed and studied. The new architecture is based on the concept of Multi- Stream Receive-Spatial Modulation (MSR-SM). MSR-SM is a closed-loop transmission scheme, which applies the concept of multi-stream space modulation at the receiver side. A new and accurate framework for computing the Average Bit Error Probability (ABEP) of the new architecture is proposed. In addition, the new architecture is compared against the state- of-the-art MIMO transmission in the Broadcast Channel and it is shown to: i) provide superior Bit Error Rate (BER) performance in the high Signal-to-Noise-Ratio (SNR) regime and ii) reduce the signal processing complexity at the transmitter.
Athanasios Stavridis - One of the best experts on this subject based on the ideXlab platform.
-
Performance Analysis of Receive Space Modulation in the Shadowing MIMO Broadcast Channel
IEEE Transactions on Communications, 2017Co-Authors: Athanasios Stavridis, Marco Di Renzo, Peter Grant, Harald HaasAbstract:In this paper, the performance analysis of Receive Space Modulation (RSM) in the shadowing Multiple-Input Multiple-Output (MIMO) Broadcast Channel is presented. This is undertaken by considering Zero Forcing (ZF) precoding and both small and large scale fading. In particular, a closed form and accurate framework for the evaluation of the Symbol Error Rate (SER) is derived. In addition, the diversity order and the coding gain of the new architecture are also obtained. The derived framework can be directly extended to the conventional spatially multiplexed shadowing MIMO Broadcast Channel. It is shown that RSM achieves the same diversity order and, in certain scenarios which are well defined, higher coding gain than spatially multiplexing (SMX). Also, the performance difference between RSM and SMX in the shadowing Broadcast Channel is mathematically quantified. Finally, numerical results that verify the new framework and conclusions are provided.
-
Performance Analysis of Multistream Receive Spatial Modulation in the MIMO Broadcast Channel
IEEE Transactions on Wireless Communications, 2016Co-Authors: Athanasios Stavridis, Marco Di Renzo, Harald HaasAbstract:In this paper, Multi-Stream Receive-Spatial Modulation (MSR-SM) for application to the Multiple-Input Multiple-Output (MIMO) Broadcast Channel is introduced and studied. MSR-SM is a closed-loop transmission scheme, which applies the concept of multistream space modulation at the receiver side. An accurate mathematical framework for the evaluation of the Bit Error Rate (BER) is proposed. In addition, the diversity order and coding gain of the new architecture are derived. Note that the proposed analytical framework takes into account both the small-scale fading and the system topology, and is directly applicable to the conventional MIMO Broadcast Channel. Compared with the state-of-the-art MIMO transmission in the Broadcast Channel, it is mathematically shown that MSR-SM achieves the same diversity order and a better coding gain, in the high Signal-to-Noise Ratio (SNR) regime. Finally, the proposed mathematical framework and the new findings are validated via Monte Carlo simulation results.
-
On the asymptotic performance of receive space modulation in the shadowing Broadcast Channel
IEEE Communications Letters, 2016Co-Authors: Athanasios Stavridis, Marco Di Renzo, Peter M. Grant, Harald HaasAbstract:In this letter, the diversity order and the coding gain of Receive Space Modulation (RSM) in the Multiple-Input Multiple-Output (MIMO) Broadcast Channel are derived by taking into account both small and large scale fading. The considered linear precoding method is Zero Forcing (ZF). Note that the proposed framework is directly applicable to the conventional spatially multiplexed Broadcast Channel. Based on the derived mathematical framework, a theoretical criterion is provided, which determines the superiority between the deployment of RSM and Spatial MultipleXing (SMX) in the shadowing MIMO Broadcast Channel. Finally, the provided theoretical results are validated via Monte Carlo simulation results.
-
On the performance of multi-stream receive spatial modulation in the MIMO Broadcast Channel
2015 IEEE Global Communications Conference GLOBECOM 2015, 2015Co-Authors: Athanasios Stavridis, Marco Di Renzo, Harald HaasAbstract:In this paper, a novel architecture for the Multiple-Input Multiple-Output (MIMO) Broadcast Channel is proposed and studied. The new architecture is based on the concept of Multi- Stream Receive-Spatial Modulation (MSR-SM). MSR-SM is a closed-loop transmission scheme, which applies the concept of multi-stream space modulation at the receiver side. A new and accurate framework for computing the Average Bit Error Probability (ABEP) of the new architecture is proposed. In addition, the new architecture is compared against the state- of-the-art MIMO transmission in the Broadcast Channel and it is shown to: i) provide superior Bit Error Rate (BER) performance in the high Signal-to-Noise-Ratio (SNR) regime and ii) reduce the signal processing complexity at the transmitter.
Ligong Wang - One of the best experts on this subject based on the ideXlab platform.
-
the state dependent semideterministic Broadcast Channel
International Symposium on Information Theory, 2012Co-Authors: Amos Lapidoth, Ligong WangAbstract:We derive the capacity region of the state-dependent semideterministic Broadcast Channel with noncausal stateinformation at the transmitter. In this Broadcast Channel one of the outputs is a deterministic function of the Channel input and the Channel state, and the state is assumed to be known noncausally to the transmitter but not to the receivers.
-
ISIT - The state-dependent semideterministic Broadcast Channel
2012 IEEE International Symposium on Information Theory Proceedings, 2012Co-Authors: Amos Lapidoth, Ligong WangAbstract:We derive the capacity region of the state-dependent semideterministic Broadcast Channel with noncausal stateinformation at the transmitter. In this Broadcast Channel one of the outputs is a deterministic function of the Channel input and the Channel state, and the state is assumed to be known noncausally to the transmitter but not to the receivers.
-
The State-Dependent Semideterministic Broadcast Channel
arXiv: Information Theory, 2011Co-Authors: Amos Lapidoth, Ligong WangAbstract:We derive the capacity region of the state-dependent semideterministic Broadcast Channel with noncausal state-information at the transmitter. One of the two outputs of this Channel is a deterministic function of the Channel input and the Channel state, and the state is assumed to be known noncausally to the transmitter but not to the receivers. We show that appending the state to the deterministic output does not increase capacity. We also derive an outer bound on the capacity of general (not necessarily semideterministic) state-dependent Broadcast Channels.
Shlomo Shamai - One of the best experts on this subject based on the ideXlab platform.
-
the capacity region of the degraded multiple input multiple output compound Broadcast Channel
IEEE Transactions on Information Theory, 2009Co-Authors: H. Weingarten, Yossef Steinberg, Shlomo Shamai, Tie Liu, Pramod ViswanathAbstract:The capacity region of a compound multiple-antenna Broadcast Channel is characterized when the users exhibit a certain degradedness order. The Channel under consideration has two users, each user has a finite set of possible realizations. The transmitter transmits two messages, one for each user, in such a manner that regardless of the actual realizations, both users will be able to decode their messages correctly. An alternative view of this Channel is that of a Broadcast Channel with two common messages, each common message is intended to a different set of users. The degradedness order between the two sets of realizations/users is defined through an additional, fictitious, user whose Channel is degraded with respect to all realizations/users from one set while all realizations/users from the other set are degraded with respect to him.
-
the capacity region of the degraded mimo compound Broadcast Channel
International Symposium on Information Theory, 2007Co-Authors: H. Weingarten, Yossef Steinberg, Shlomo Shamai, Tie Liu, Pramod ViswanathAbstract:The capacity region of a compound multi- antenna Broadcast Channel is characterized when the users exhibit a certain degradedness order. For this purpose, we bring to bear a new extremal inequality for information theory and utilize a Channel enhancement technique.
-
on the compound mimo Broadcast Channel
2007Co-Authors: H. Weingarten, Shlomo Shamai, Gerhard KramerAbstract:We consider the Gaussian multi-antenna compound Broadcast Channel where one transmitter transmits several mes- sages, each intended for a different user whose Channel realization is arbitrarily chosen from a finite set. Our investigation focuses on the behavior of this Channel at high SNRs and we obtain the multiplexing gain of the sum capacity for a number of cases, and point out some implications of the total achievable multiplexing gain region. 1
-
on the capacity region of the multi antenna Broadcast Channel with common messages
International Symposium on Information Theory, 2006Co-Authors: H. Weingarten, Yossef Steinberg, Shlomo ShamaiAbstract:In this paper we discuss a two user Multi-Antenna Gaussian Broadcast Channel with common messages and explore the achievable region suggested by Jindal and Goldsmith. We present simple outer-bounds which are shown to be tight at certain regions. We investigate the aligned Channel with common messages and show that beyond a certain threshold on the common rate, the achievable region coincides with the capacity region and we also give a full characterization of the capacity region of the degraded message sets case.
-
The capacity region of the Gaussian multiple-input multiple-output Broadcast Channel
IEEE Transactions on Information Theory, 2006Co-Authors: H. Weingarten, Yossef Steinberg, Shlomo ShamaiAbstract:The Gaussian multiple-input multiple-output (MIMO) Broadcast Channel (BC) is considered. The dirty-paper coding (DPC) rate region is shown to coincide with the capacity region. To that end, a new notion of an enhanced Broadcast Channel is introduced and is used jointly with the entropy power inequality, to show that a superposition of Gaussian codes is optimal for the degraded vector Broadcast Channel and that DPC is optimal for the nondegraded case. Furthermore, the capacity region is characterized under a wide range of input constraints, accounting, as special cases, for the total power and the per-antenna power constraints
Amos Lapidoth - One of the best experts on this subject based on the ideXlab platform.
-
the state dependent semideterministic Broadcast Channel
International Symposium on Information Theory, 2012Co-Authors: Amos Lapidoth, Ligong WangAbstract:We derive the capacity region of the state-dependent semideterministic Broadcast Channel with noncausal stateinformation at the transmitter. In this Broadcast Channel one of the outputs is a deterministic function of the Channel input and the Channel state, and the state is assumed to be known noncausally to the transmitter but not to the receivers.
-
ISIT - The state-dependent semideterministic Broadcast Channel
2012 IEEE International Symposium on Information Theory Proceedings, 2012Co-Authors: Amos Lapidoth, Ligong WangAbstract:We derive the capacity region of the state-dependent semideterministic Broadcast Channel with noncausal stateinformation at the transmitter. In this Broadcast Channel one of the outputs is a deterministic function of the Channel input and the Channel state, and the state is assumed to be known noncausally to the transmitter but not to the receivers.
-
The State-Dependent Semideterministic Broadcast Channel
arXiv: Information Theory, 2011Co-Authors: Amos Lapidoth, Ligong WangAbstract:We derive the capacity region of the state-dependent semideterministic Broadcast Channel with noncausal state-information at the transmitter. One of the two outputs of this Channel is a deterministic function of the Channel input and the Channel state, and the state is assumed to be known noncausally to the transmitter but not to the receivers. We show that appending the state to the deterministic output does not increase capacity. We also derive an outer bound on the capacity of general (not necessarily semideterministic) state-dependent Broadcast Channels.
-
ISWCS - New achievable rates for the Gaussian Broadcast Channel with feedback
2011 8th International Symposium on Wireless Communication Systems, 2011Co-Authors: Michael Gastpar, Amos Lapidoth, Yossef Steinberg, Michèle WiggerAbstract:A coding scheme for the two-receivers Gaussian Broadcast Channel (BC) with feedback is proposed. For some asymmetric settings it achieves new rate pairs. Moreover, it achieves prelog 2 when the noises at the two receivers are fully positively correlated and of unequal variances, thus allowing us to complete the characterization of the prelog of the two-receivers Gaussian BC with feedback. The new achievable rates also allow us to determine the asymptotic power offset when the noises at the two receivers are uncorrelated.
-
Gaussian Broadcast Channel with partial feedback
2010 IEEE 26-th Convention of Electrical and Electronics Engineers in Israel, 2010Co-Authors: Amos Lapidoth, Yossef Steinberg, Michèle WiggerAbstract:We present new achievable regions for the two-user Gaussian Broadcast Channel with noiseless feedback from one of the users. Our regions improve on previous achievable regions.
