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Multiuser Interference Balancing for General Interference Functions - A Convergence Analysis
2007 IEEE International Conference on Communications, 2007We address the problem of maximizing the minimum signal-to-interference ratio (SIR) in a multiuser system. In the context of resource allocation, this is referred to as max-min fairness. Moreover, the balanced SIR margin is an indicator for feasibility, so the problem also plays a fundamental role for the characterization of the SIR achievable region ...
Holger Boche, Martin Schubert
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Joint interference and phase alignment in multiuser MIMO interference channels
2012 Conference Record of the Forty Sixth Asilomar Conference on Signals, Systems and Computers (ASILOMAR), 2012It has been shown that interference alignment (IA) is able to achieve the capacity of wireless interference networks. However each node requires at least local channel state information (CSI) to align all interferences. After that, zero-forcing is needed to recover the d degrees of freedom related to each transceiver pair.
Seyed Morteza Razavi +3 more
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Fair rate adaptation in multiuser interference channels
2010 IEEE International Symposium on Information Theory, 2010Achievable rate regions of multiuser fading interference channels depend on their fading realizations. Motivated by this premise we consider the problem of adapting the users' rates to fading variations. Channel-dependent rate adjustments are accomplished after each transition of the fading channel from one state to another.
Ali Tajer +2 more
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Interference management for multiuser two-way relaying
2008 42nd Annual Conference on Information Sciences and Systems, 2008We consider a multiuser two-way relay network where multiple pairs of users communicate with their pre-assigned partners, using a common intermediate relay node, in a two-phase communication scenario. In this system, a pair of partners transmit to the relay sharing a common spreading signature in the first phase, and the relay broadcasts an estimate of
Min Chen 0017, Aylin Yener
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Journal of Communications, 2020
Massive Multi-user Multiple Input Multiple Output (MU‒MIMO) system is aimed to improve throughput and spectral efficiency in 5G communication networks. Inter-antenna Interference (IAI) and Multi-user Interference (MUI) are two major factors that influence the performance of MU–MIMO system. IAI arises due to closely spaced multiple antennas at each User
Naga Raju Challa, Kala Praveen Bagadi
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Massive Multi-user Multiple Input Multiple Output (MU‒MIMO) system is aimed to improve throughput and spectral efficiency in 5G communication networks. Inter-antenna Interference (IAI) and Multi-user Interference (MUI) are two major factors that influence the performance of MU–MIMO system. IAI arises due to closely spaced multiple antennas at each User
Naga Raju Challa, Kala Praveen Bagadi
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Multiuser detection for interference-limited MIMO systems
Vehicular Technology Conference. IEEE 55th Vehicular Technology Conference. VTC Spring 2002 (Cat. No.02CH37367), 2003We consider the application of multiuser detection to the downlink of interference-limited multiple-input multiple-output (MIMO) cellular systems. MIMO systems have been shown to yield a tremendous capacity for a single link with white Gaussian noise. In a cellular environment, there will often be co-channel interference from other cells, which becomes
Huaiyu Dai, Andreas F. Molisch
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Successive Interference Mitigation in Multiuser MIMO Channels
IEEE Transactions on Communications, 2015Motivated by the work of Dahrouj and Yu in applying the Han-Kobayashi transmission strategy for mitigating the intercell interference in a multi-cell multi-user multiple-input single-output interference network (MISO IN), this paper considers splitting messages into private and common parts in a multi-cell multi-user MIMO IN.
Enlong Che +3 more
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Coherent UWB Ranging in the Presence of Multiuser Interference
IEEE Transactions on Wireless Communications, 2014Roundtrip time-of-arrival (ToA) measurements employing ultra-wideband (UWB) signals can provide high-precision ranging information. However, the accuracy is degraded by multiuser interference (MUI), in particular in the presence of multipath propagation.
Vinod Kristem +3 more
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On impulsive models of multiuser interference
Conference Record of the Thirty-Third Asilomar Conference on Signals, Systems, and Computers (Cat. No.CH37020), 2003We present a model for the interference generated by a collection of geographically-distributed, bursty transmitters. Transmitters begin transmission at random times and locations, determined by a Poisson process in space and time. As each transmitted signal propagates to the receiver; it is attenuated by a power-law path loss and shifted in phase by a
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Soft-decision multistage multiuser interference cancellation
IEEE Transactions on Vehicular Technology, 2003Successive interference cancellation (SIC) refers to a family of low-complexity multiuser detection methods for direct-sequence code-division multiple-access systems. The performance of multistage SIC depends on the decision function used in the interference cancellation iterations, e.g., hard, soft, or linear decision functions.
Wei Zha, Steven D. Blostein
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