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This work considers a multicell Massive MIMO network with $L$ cells, each comprising a BS with $M$ antennas and $K$ single-antenna user equipments. Within this setting, we are interested in deriving approximations of the achievable rates in…

Information Theory · Computer Science 2018-11-29 Luca Sanguinetti , Abla Kammoun , Merouane Debbah

In this paper, we investigate downlink power control in massive multiple-input multiple-output (MIMO) networks with distributed antenna arrays. The base station (BS) in each cell consists of multiple antenna arrays, which are deployed in…

Information Theory · Computer Science 2020-01-14 Noman Akbar , Emil Björnson , Erik G. Larsson , Nan Yang

Edge intelligence is a scalable solution for analyzing distributed data, but it cannot provide reliable services in large-scale cellular networks unless the inherent aspects of fading and interference are also taken into consideration. In…

Signal Processing · Electrical Eng. & Systems 2025-12-18 Jaume Anguera Peris , Viktoria Fodor

Multi-Cell (MC) systems are present in mobile network operations from the first generation to the fifth generation of wireless networks, and considers the signals of all users to a base station (BS) centered in a cell. Cell-Free (CF)…

Information Theory · Computer Science 2022-10-04 E. F. de Almeida , R. C. de Lamare

We consider Internet of Things (IoT) organized on the principles of cell-free massive MIMO. Since the number of things is very large, orthogonal pilots cannot be assigned to all of them even if the things are stationary. This results in an…

Signal Processing · Electrical Eng. & Systems 2020-06-19 Shilpa Rao , Alexei Ashikhmin , Hong Yang

We consider a multigroup multicast cell-free multiple-input multiple-output (MIMO) downlink system with short-term power constraints. In particular, the normalized conjugate beamforming scheme is adopted at each access point (AP) to keep…

Signal Processing · Electrical Eng. & Systems 2022-01-14 Muhammad Farooq , Markku Juntti , Le-Nam Tran

With the recent emergence of 5G era, heterogeneous cellular networks (HCNs) have invoked a popular research interest. In this paper, we provide a comprehensive analysis for multiantenna transmissions in a multi-tier downlink HCN. We first…

Information Theory · Computer Science 2016-10-27 Tong-Xing Zheng , Hui-Ming Wang , Moon Ho Lee

Massive multiple-input multiple-output (MIMO) systems achieve high sum spectral efficiency by offering an order of magnitude increase in multiplexing gains. In time division duplexing systems, however, the reuse of uplink training pilots…

Information Theory · Computer Science 2016-10-14 Ahmed Alkhateeb , Geert Leus , Robert W. Heath

Recently heterogeneous base station structure has been adopted in cellular systems to enhance system throughput and coverage. In this paper, the uplink coverage probability for the heterogeneous cellular systems is analyzed and derived in…

Information Theory · Computer Science 2012-07-03 Haichuan Ding , Shaodan Ma , Chengwen Xing , Zesong Fei , Jingming Kuang

Massive Multiple-Input Multiple-Output (MIMO) is foreseen to be one of the main technology components in next generation cellular communications (5G). In this paper, fundamental limits on the performance of downlink massive MIMO systems are…

Information Theory · Computer Science 2015-01-20 Fredrik Athley , Giuseppe Durisi , Ulf Gustavsson

The uplink of a wireless network with base stations distributed according to a Poisson Point Process (PPP) is analyzed. The base stations are assumed to have a large number of antennas and use linear minimum-mean-square-error (MMSE) spatial…

Information Theory · Computer Science 2013-11-20 Siddhartan Govindasamy

Recently, the so-called cell-free Massive MIMO architecture has been introduced, wherein a very large number of distributed access points (APs) simultaneously and jointly serve a much smaller number of mobile stations (MSs). A variant of…

Information Theory · Computer Science 2017-10-24 Stefano Buzzi , Alessio Zappone

We consider the problem of linear transceiver design to achieve max-min fairness in a downlink MIMO multicell network. This problem can be formulated as maximizing the minimum rate among all the users in an interfering broadcast channel…

Information Theory · Computer Science 2012-09-03 Meisam Razaviyayn , Mingyi Hong , Zhi-Quan Luo

Cellular uplink analysis has typically been undertaken by either a simple approach that lumps all interference into a single deterministic or random parameter in a Wyner-type model, or via complex system level simulations that often do not…

Information Theory · Computer Science 2016-11-17 Thomas D. Novlan , Harpreet S. Dhillon , Jeffrey G. Andrews

This paper compares two important downlink multicell interference mitigation techniques, namely, large-scale (LS) multiple-input multiple-output (MIMO) and network MIMO. We consider a cooperative wireless cellular system operating in…

Information Theory · Computer Science 2014-07-23 Kianoush Hosseini , Wei Yu , Raviraj S. Adve

Motivated by the ever-growing demand for \emph{green} wireless communications and the advantages of \emph{cell-free} (CF) massive multiple-input multiple-output (MIMO) systems, we focus on the design of their downlink for optimal…

Information Theory · Computer Science 2021-02-09 Anastasios Papazafeiropoulos , Hien Q. Ngo , Pandelis Kourtessis , Symeon Chatzinotas , John M. Senior

Decoupling uplink (UL) and downlink (DL) is a new architectural paradigm where DL and UL are not constrained to be associated to the same base station (BS). Building upon this paradigm, the goal of the present paper is to provide lower,…

Information Theory · Computer Science 2016-10-11 Alexis I. Aravanis , Olga Munoz , Antonio Pascual-Iserte , Josep Vidal

The ergodic spectral efficiency (SE) in interference-limited multiple-input multiple-output (MIMO) downlink cellular systems is characterized based on stochastic geometry. A single user is served by using singular value decomposition…

Information Theory · Computer Science 2016-11-01 Jinseok Choi , Jeonghun Park , Brian L. Evans

A base-station (BS) equipped with multiple antennas can use its spatial dimensions in three different ways: (1) to serve multiple users, thereby achieving a multiplexing gain, (2) to provide spatial diversity in order to improve user rates…

Information Theory · Computer Science 2018-08-23 Kianoush Hosseini , Caiyi Zhu , Ahmad Khan , Raviraj S. Adve , Wei Yu

A cellular multiple-input multiple-output (MIMO) downlink system is studied in which each base station (BS) transmits to some of the users, so that each user receives its intended signal from a subset of the BSs. This scenario is referred…

Information Theory · Computer Science 2013-02-12 Saeed Kaviani , Osvaldo Simeone , Witold A Krzymień , Shlomo Shamai