Open AccessPosted Content
Downlink Interference Alignment
Changho Suh,Minnie Ho,David Tse +2 more
TL;DR: This work develops an interference alignment (IA) technique for a downlink cellular system that can be implemented with minimal changes to an existing cellular system where the feedback mechanism (within a cell) is already being considered for supporting multi-user MIMO.
read more
Abstract: We develop an interference alignment (IA) technique for a downlink cellular system. In the uplink, IA schemes need channel-state-information exchange across base-stations of different cells, but our downlink IA technique requires feedback only within a cell. As a result, the proposed scheme can be implemented with a few changes to an existing cellular system where the feedback mechanism (within a cell) is already being considered for supporting multi-user MIMO. Not only is our proposed scheme implementable with little effort, it can in fact provide substantial gain especially when interference from a dominant interferer is significantly stronger than the remaining interference: it is shown that in the two-isolated cell layout, our scheme provides four-fold gain in throughput performance over a standard multi-user MIMO technique. We show through simulations that our technique provides respectable gain under a more realistic scenario: it gives approximately 20% gain for a 19 hexagonal wrap-around-cell layout. Furthermore, we show that our scheme has the potential to provide substantial gain for macro-pico cellular networks where pico-users can be significantly interfered with by the nearby macro-BS.
read more
Chat with Paper
AI Agents for this Paper
Find similar papers on Google Scholar, PubMed and Arxiv
Write a critical review of this paper
Analyze citations of this paper to find unaddressed research gaps
Citations
What Will 5G Be
Jeffrey G. Andrews,Stefano Buzzi,Wan Choi,Stephen V. Hanly,Angel Lozano,Anthony C. K. Soong,Jianzhong Charlie Zhang +6 more
TL;DR: This paper discusses all of these topics, identifying key challenges for future research and preliminary 5G standardization activities, while providing a comprehensive overview of the current literature, and in particular of the papers appearing in this special issue.
Fundamental Limits of Cooperation
TL;DR: In this article, it was shown that the high-power spectral efficiency is upper bounded by a quantity that does not depend on the transmit powers, and that cooperation is possible only within clusters of limited size, which are subject to out-of-cluster interference whose power scales with that of the incluster signals.
An Overview on Resource Allocation Techniques for Multi-User MIMO Systems
TL;DR: In this paper, the authors provide a comprehensive overview of the various methodologies used to approach the aforementioned joint optimization task in the downlink of multiuser MIMO communication systems.
229
Massive MIMO: Fundamentals and System Designs
Hien Quoc Ngo
- 10 Mar 2015
TL;DR: The last ten years have seen a massive growth in the number of connected wireless devices, and now billions of devices are connected and managed by wireless networks.
Interference Alignment for Partially Connected MIMO Cellular Networks
TL;DR: This paper analyzes the achievable degree of freedom (DoF) of the proposed algorithm for a symmetric partially connected MIMO cellular network and shows that there is significant DoF gain compared with conventional IA algorithms due to partial connectivity.
194
References
Interference Alignment and Degrees of Freedom of the $K$ -User Interference Channel
Viveck R. Cadambe,Syed A. Jafar +1 more
TL;DR: For the fully connected K user wireless interference channel where the channel coefficients are time-varying and are drawn from a continuous distribution, the sum capacity is characterized as C(SNR)=K/2log (SNR)+o(log( SNR), which almost surely has K/2 degrees of freedom.
Sum capacity of the vector Gaussian broadcast channel and uplink-downlink duality
Pramod Viswanath,David Tse +1 more
TL;DR: The sum capacity of the vector Gaussian broadcast channel is characterized by showing that the existing inner bound of Marton and the existing upper bound of Sato are tight for this channel.
Communication Over MIMO X Channels: Interference Alignment, Decomposition, and Performance Analysis
TL;DR: It is shown that by using mixed design schemes, rather than decomposition schemes, and taking the statistical properties of the interference terms into account, the power offset of the system can be improved.
1.2K
LTE-Advanced: Heterogeneous networks
Aamod Khandekar,Naga Bhushan,Ji Tingfang,Vieri Vanghi +3 more
- 12 Apr 2010
TL;DR: To enhance the performance of heterogeneous networks, advanced techniques are described which are needed to manage and control interference and deliver the full benefits of such networks.
593
Interference alignment via alternating minimization
Steven W. Peters,Robert W. Heath +1 more
- 19 Apr 2009
TL;DR: The algorithm is an alternating minimization over the precoding matrices at the transmitters and the interference subspaces at the receivers, and is proven to converge.
526