Local Base Station Cooperation Via Finite-Capacity Links for the Uplink of Linear Cellular Networks

Simeone, Osvaldo; Somekh, Oren; Poor, H. Vincent; Shamai, Shlomo

doi:10.1109/tit.2008.2008151

Cited by 134 publications

(101 citation statements)

References 29 publications

Supporting

Mentioning

100

Contrasting

Unclassified

Order By: Relevance

“…Along these lines, it is noted that the model and techniques at hand are very related to interference channels with "conferencing" decoders studied in [34], [40]. Consider, as in [41], a soft-handoff model with L = 1 and unidirectional backhaul links allowing information to be passed to the right. Assuming knowledge of only the local codebook, a successive decoding scheme can be devised in which each BS decodes the local message and sends the quantized decoded codeword to the neighboring (right) BS for interference mitigation.…”

Section: ) Local Bs Backhaulmentioning

confidence: 99%

“…In this case, as in [37] (see discussion above), it becomes possible to perform joint decoding of the local message and of (possibly part of) the interfering message, and to use the backhaul link to convey directly hard information (messages) rather than soft information about the decoded codewords. This allows a non-interference limited behavior to be attained: Specifically, assuming that C grows like β log P, the multiplexing gain min(1, 0.5 + β) can be attained [41].…”

Section: ) Local Bs Backhaulmentioning

confidence: 99%

“…Information-theoretic approaches in which encoders and decoders are limited to knowledge of the codebooks of users in adjacent cells only are to be found in [154], [41], [37]. Clustering can also create unfairness for mobiles that happen to lie near the boundary of a cluster.…”

Section: Limited Cooperation Via Clusteringmentioning

confidence: 99%

See 2 more Smart Citations

Multi-Cell MIMO Cooperative Networks: A New Look at Interference

Gesbert

Hanly

Huang³

et al. 2010

IEEE J. Select. Areas Commun.

1,612

1,228

View full text Add to dashboard Cite

Abstract-This paper presents an overview of the theory and currently known techniques for multi-cell MIMO (multiple input multiple output) cooperation in wireless networks. In dense networks where interference emerges as the key capacitylimiting factor, multi-cell cooperation can dramatically improve the system performance. Remarkably, such techniques literally exploit inter-cell interference by allowing the user data to be jointly processed by several interfering base stations, thus mimicking the benefits of a large virtual MIMO array. Multicell MIMO cooperation concepts are examined from different perspectives, including an examination of the fundamental information-theoretic limits, a review of the coding and signal processing algorithmic developments, and, going beyond that, consideration of very practical issues related to scalability and system-level integration. A few promising and quite fundamental research avenues are also suggested.

show abstract

Section: ) Local Bs Backhaulmentioning

confidence: 99%

Section: ) Local Bs Backhaulmentioning

confidence: 99%

See 1 more Smart Citation

Multi-Cell MIMO Cooperative Networks: A New Look at Interference

Gesbert

Hanly

Huang³

et al. 2010

IEEE J. Select. Areas Commun.

1,612

1,228

View full text Add to dashboard Cite

show abstract

“…Cooperative decoding at the base stations in the uplink cellular networks was widely studied (e.g., [18], [19]), where the received signals are shared among base stations via backhaul links so that joint signal processing is enabled. Nevertheless, joint signal processing and decoding results in huge amount of backhaul overhead, even if the quantized received signal samples are shared locally in a clustered decoding fashion [19].…”

Section: Introductionmentioning

confidence: 99%

Topological Interference Management With Decoded Message Passing

Caire

2018

IEEE Trans. Inform. Theory

View full text Add to dashboard Cite

Abstract-The topological interference management (TIM) problem studies partially-connected interference networks with no channel state information except for the network topology (i.e., connectivity graph) at the transmitters. In this paper, we consider a similar problem in the uplink cellular networks, while message passing is enabled at the receivers (e.g., base stations), so that the decoded messages can be routed to other receivers via backhaul links to help further improve network performance. For this TIM problem with decoded message passing (TIM-MP), we model the interference pattern by conflict digraphs, connect orthogonal access to the acyclic set coloring on conflict digraphs, and show that one-to-one interference alignment boils down to orthogonal access because of message passing. With the aid of polyhedral combinatorics, we identify the structural properties of certain classes of network topologies where orthogonal access achieves the optimal degrees-of-freedom (DoF) region in the information-theoretic sense. The relation to the conventional index coding with simultaneous decoding is also investigated by formulating a generalized index coding problem with successive decoding as a result of decoded message passing. The properties of reducibility and criticality are also studied, by which we are able to prove the linear optimality of orthogonal access in terms of symmetric DoF for the networks up to four users with all possible network topologies (218 instances). Practical issues of the tradeoff between the overhead of message passing and the achievable symmetric DoF are also discussed, in the hope of facilitating efficient backhaul utilization.

show abstract

“…Toward this end, in the last few decades, numerous articles have been written to analyze various cellular models using information theoretic argument to gain insight into the implications on the performance of the system parameters. For an extensive survey on this literature, the reader is referred to [5,6,[17][18][19] and the references there in.…”

Section: Introductionmentioning

confidence: 99%

Hadamard upper bound on optimum joint decoding capacity of Wyner Gaussian cellular MAC

Shakir

Durrani

Alouini

2011

J Wireless Com Network

View full text Add to dashboard Cite

This article presents an original analytical expression for an upper bound on the optimum joint decoding capacity of Wyner circular Gaussian cellular multiple access channel (C-GCMAC) for uniformly distributed mobile terminals (MTs). This upper bound is referred to as Hadamard upper bound (HUB) and is a novel application of the Hadamard inequality established by exploiting the Hadamard operation between the channel fading matrix G and the channel path gain matrix Ω. This article demonstrates that the actual capacity converges to the theoretical upper bound under the constraints like low signal-to-noise ratios and limiting channel path gain among the MTs and the respective base station of interest. In order to determine the usefulness of the HUB, the behavior of the theoretical upper bound is critically observed specially when the inter-cell and the intra-cell time sharing schemes are employed. In this context, we derive an analytical form of HUB by employing an approximation approach based on the estimation of probability density function of trace of Hadamard product of two matrices, i.e., G and Ω. A closed form of expression has been derived to capture the effect of the MT distribution on the optimum joint decoding capacity of C-GCMAC. This article demonstrates that the analytical HUB based on the proposed approximation approach converges to the theoretical upper bound results in the medium to high signal to noise ratio regime and shows a reasonably tighter bound on optimum joint decoding capacity of Wyner GCMAC.

show abstract

Local Base Station Cooperation Via Finite-Capacity Links for the Uplink of Linear Cellular Networks

Cited by 134 publications

References 29 publications

Multi-Cell MIMO Cooperative Networks: A New Look at Interference

Multi-Cell MIMO Cooperative Networks: A New Look at Interference

Topological Interference Management With Decoded Message Passing

Hadamard upper bound on optimum joint decoding capacity of Wyner Gaussian cellular MAC

Contact Info

Product

Resources

About