Proceedings Article10.1109/GLOCOMW.2011.6162487
A general algorithm for uplink opportunistic interference alignment in cellular network
Lifeng Wang,Qiang Li,Shaoqian Li,Jingyi Chen +3 more
- 01 Dec 2011
- pp 436-440
4
TL;DR: Simulation results indicate that the dependence on the channel randomness is dramatically weakened and better performance can be obtained, the system efficiency is improved a lot too.
read more
Abstract: This paper utilizes a new strategy to accomplish the general uplink opportunistic interference alignment (OIA) in cellular network. K cooperative cells are considered, each user and base station (BS) own N transmit antennas and M receive antennas respectively. The leakage interference is newly defined. Each user calculates the amount of the leakage interference and reports it to its corresponding BS which selects the optimum users for data transmission. The prior OIA approach, which totally depends on the channel randomness, requires numerous users to acquire multi-user diversity gain in each cell, but only a few users in each cell may have the opportunity for data transmission. The new method keeps the advantages of the existing OIA algorithm and derives a general OIA scheme with any transmit antennas. Simulation results indicate that the dependence on the channel randomness is dramatically weakened and better performance can be obtained, the system efficiency is improved a lot too.
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
Fairness Enhancement for Opportunistic Interference Alignment Algorithm With Low Latency Communications
TL;DR: Close-form expressions are derived to facilitate the fairness performance evaluation for various OIA systems by applying the theories of Markov chains and show that compared with conventional OIA algorithms, the proposed algorithms can achieve better fairness performance with comparable sum-rate performance.
3
Opportunistic Interference Alignment for MIMO Interfering Multiple-Access Channels
TL;DR: In this article, the authors proposed two opportunistic interference alignment (OIA) techniques utilizing multiple transmit antennas at each user, namely, antenna selection-based OIA and singular value decomposition (SVD) based OIA.
1
Opportunistic Interference Alignment for MIMO Interfering Multiple-Access Channels
TL;DR: The sum-rate performance of the proposed OIA techniques is compared with the conventional techniques in MIMO IMAC channels and it is shown that the proposedOIA techniques outperform theventional techniques.
New uplink opportunistic interference alignment: An active alignment approach
Hui Gao,Johann Leithon,Chau Yuen,Himal A. Suraweera +3 more
- 07 Apr 2013
TL;DR: Two new opportunistic interference alignment schemes to mitigate interference in the K-cell uplink interference channel are proposed and outperform the state-of-the-art under the considered scenarios.
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.
Degrees of Freedom of the $K$ User $M \times N$ MIMO Interference Channel
Tiangao Gou,Syed A. Jafar +1 more
TL;DR: In this paper, the authors provided inner bound and outer bound for the total number of degrees of freedom of the K user multiple-input multiple-output (MIMO) Gaussian interference channel with time-varying and drawn from a continuous distribution.
499
•Posted Content
Degrees of Freedom of the $K$ User $M \times N$ MIMO Interference Channel
Tiangao Gou,Syed A. Jafar +1 more
TL;DR: In this article, the authors provided inner bound and outer bound for the total number of degrees of freedom of the user multiple input multiple output (MIMO) Gaussian interference channel with time-varying channel coefficients.
393
On the Design of Interference Alignment Scheme for Two-Cell MIMO Interfering Broadcast Channels
TL;DR: This letter focuses on a two-cell multiple-input multiple-output Gaussian interfering broadcast channels (MIMO-IFBC) with M transmit antennas and N receive antennas, and proposes a novel IA technique jointly designing transmit and receive beamforming vectors in a closed-form expression without iterative computation.
186
Exploiting Channel Correlations - Simple Interference Alignment Schemes with No CSIT
Syed A. Jafar
- 01 Dec 2010
TL;DR: In this paper, the authors explore a few selected multiuser communication problems where the possibility of interference alignment, and consequently, the total number of degrees of freedom (DoF) with channel uncertainty at the transmitters are unknown.
126