Optimal Resource Allocation in Coordinated Multi-Cell Systems

By Emil Björnson, Eduard Axel Jorswieck. Foundations and Trends in Communications and Information Theory, 2013

527 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/e611f8b5aa1768e3fee50e8172d66508eef37cf6

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In Computer Networks and Communications

In Electrical and Electronic Engineering

Citations in the corpus

Foundations of User-Centric Cell-Free Massive MIMO (2020, background): “Aligned with the ongoing cloudification of wireless networks [82], [146], known as cloud radio access network (C-RAN), the CPU-related processing tasks can be distributed between the local processors in different ways [25].”
Prospective Multiple Antenna Technologies for Beyond 5G (2019, background): “This creates a user-centric network [32], where each AP collaborates with different sets of APs when serving different UEs.”
Prox-PDA: The Proximal Primal-Dual Algorithm for Fast Distributed Nonconvex Optimization and Learning Over Networks (2017, unknown): “2016); 3) nonconvex utility functions used in applications such as resource allocation (Bjornson & Jorswieck, 2013).”
On Nonconvex Decentralized Gradient Descent (2016, background): “More specifically, in these applications, each fi can be: 1) the data-fidelity term (possibly nonconvex) in statistical learning and machine learning [15], [62]; 2) nonconvex utility functions used in applications such as resource allocation [6], [20]; 3) empirical risk of deep neural networks with ”
Integrated Sensing and Communications: Recent Advances and Ten Open Challenges (2023, background): “The cell-free massive MIMO architecture [110], [111], [175], on the other hand, may be a promising one in support of ISAC systems.”
Learning to Optimize: Training Deep Neural Networks for Interference Management (2017, background): “r design, and user admission control, are critical for future wireless networks. Extensive research has been done to develop various resource management schemes; see the recent overview articles [2], [3]. For decades, numerical optimization has played a central role in addressing wireless resource m”
Massive MIMO Systems With Non-Ideal Hardware: Energy Efficiency, Estimation, and Capacity Limits (2013, unknown): “This simpliﬁcation creates a small bias when comparing systems with different levels of impairments, but the simulations in [20, Section 4.3] showed that this has a negligible impact on the spectral efﬁciencies.”
Quantized Precoding for Massive MU-MIMO (2016, background): “We refer the interested reader to the tutorial [37] for a comprehensive overview.”
White Paper on Broadband Connectivity in 6G (2020, background): “…well-known concepts of CoMP and network MIMO, which are normally implemented in a network-centric fashion where edges between co-operation regions still exist, cell-free massive MIMO can be realized by adopting a user-centric approach [40, 43, 44], whereby each UE is served only by the nearby APs.”
Optimal Joint Power and Subcarrier Allocation for Full-Duplex Multicarrier Non-Orthogonal Multiple Access Systems (2016, methodology): “First, we introduce some mathematical preliminaries of monotonic optimization [23]–[25].”
Optimal Multiuser Transmit Beamforming: A Difficult Problem with a Simple Solution Structure [Lecture Notes] (2014, methodology): “What would happen if we set , SINR k k c = for , , , k K 1 f = and solve (P1) for these particular c-parameters? The answer is that the beamforming vectors that solve (P1) will now also solve (P2) [7].”
A Comprehensive Survey of Pilot Contamination in Massive MIMO—5G System (2016, background): “In non-ideal case, it has been shown in [89], [91] that the presence of residual offset frequency does have a big impact on the exploitation of channel reciprocity.”
Millimeter Wave Communications for Future Mobile Networks (2017, background): “The design of transmit precoding/beamforming and receive combining for SDMA is generally a mature topic [194], [195], but the special channel estimation and channel characteristics of hybrid systems require some further work on this topic [196], [197].”
Toward Massive MIMO 2.0: Understanding Spatial Correlation, Interference Suppression, and Pilot Contamination (2019, background): “How can we operate such a network? The ideal solution is to let each UE be served by coherent transmission and reception from all the antennas that can make a non-negligible impact on the UE’s performance [38].”
Cloud radio access network (C-RAN): a primer (2015, background): “C-RAN is characterized by high-speed interconnection and shared powerful processing capability, thus facilitating optimal multicell cooperation processing [8].”