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Massive multiple-input multiple-output (MIMO) has the potential to substantially improve the spectral efficiency, robustness and coverage of mobile networks. However, such potential is limited by hardware cost and power consumption…

Information Theory · Computer Science 2018-03-14 Mingjie Shao , Qiang Li , Wing-Kin Ma

This paper investigates the achievable sum rate of multiple-input multiple-output (MIMO) wireless systems employing linear minimum mean-squared error (MMSE) receivers. We present a new analytic framework which unveils an interesting…

Information Theory · Computer Science 2009-03-05 Matthew R. McKay , Iain B. Collings , Antonia M. Tulino

We study the performance of uplink transmission in a large-scale (massive) MIMO system, where all the transmitters have single antennas and the base station has a large number of antennas. Specifically, we first derive the rates that are…

Information Theory · Computer Science 2016-06-14 Songtao Lu , Zhengdao Wang

With the goal of improving spectral efficiency, complex rotation-based precoding and power allocation schemes are developed for two multiple-input multiple-output (MIMO) communication systems, namely, simultaneous wireless information and…

Information Theory · Computer Science 2021-11-30 Xinliang Zhang , Mojtaba Vaezi

Properly designed precoders can significantly improve the spectral efficiency of multiple-input multiple-output (MIMO) relay systems. In this paper, we investigate joint source and relay precoding design based on the mean-square-error (MSE)…

Information Theory · Computer Science 2015-06-03 Rui Wang , Meixia Tao

This paper unifies integrated sensing and communication (ISAC) and simultaneous wireless information and power transfer (SWIPT), by investigating a new multi-functional multiple-input multiple-output (MIMO) system integrating wireless…

Information Theory · Computer Science 2022-11-01 Yilong Chen , Haocheng Hua , Jie Xu

In a superimposed unicast and multicast transmission system, one layer of Successive Interference Cancellation (SIC) is required at each receiver to remove the multicast stream before decoding the unicast stream. In this paper, we show that…

Information Theory · Computer Science 2018-11-22 Yijie Mao , Bruno Clerckx , Victor O. K. Li

This paper investigates the optimum source transmission strategy to maximize the capacity of a multiple-input single-output (MISO) amplify-and-forward relay channel, assuming source-relay channel mean feedback at the source. The challenge…

Information Theory · Computer Science 2015-03-18 Minhua Ding , Q. T. Zhang

In this paper, the performance of an underlay multiple-input multiple-output (MIMO) cognitive radio system is analytically studied. In particular, the secondary transmitter operates in a spatial multiplexing transmission mode, while a…

Information Theory · Computer Science 2018-01-23 Nikolaos I. Miridakis , Theodoros A. Tsiftsis , George C. Alexandropoulos

In this paper, we investigate the resource allocation algorithm design for full-duplex simultaneous wireless information and power transfer (FD-SWIPT) systems. The considered system comprises a FD radio base station, multiple single-antenna…

Information Theory · Computer Science 2016-11-17 Shiyang Leng , Derrick Wing Kwan Ng , Nikola Zlatanov , Robert Schober

In this paper, the Pareto-optimal beam structure for multi-user multiple-input multiple-output (MIMO) interference channels is investigated and a necessary condition for any Pareto-optimal transmit signal covariance matrix is presented for…

Information Theory · Computer Science 2015-06-12 Juho Park , Youngchul Sung

Multi-objective optimization aims at finding trade-off solutions to conflicting objectives. These constitute the Pareto optimal set. In the context of expensive-to-evaluate functions, it is impossible and often non-informative to look for…

Machine Learning · Statistics 2020-02-20 David Gaudrie , Rodolphe Le Riche , Victor Picheny , Benoit Enaux , Vincent Herbert

Due to the current trend towards smaller cells, an increasing number of users of cellular networks reside at the edge between two cells; these users typically receive poor service as a result of the relatively weak signal and strong…

Networking and Internet Architecture · Computer Science 2015-07-28 Guy Grebla , Berk Birand , Peter van de Ven , Gil Zussman

In pursuit of enhanced quality of service and higher transmission rates, communication within the mid-band spectrum, such as bands in the 6-15 GHz range, combined with extra large-scale multiple-input multiple-output (XL-MIMO), is…

Information Theory · Computer Science 2024-08-21 Jiachen Tian , Yu Han , Xiao Li , Shi Jin , Chao-Kai Wen

We study a coordinated multi-point (CoMP) transmission where two base stations (BSs), each supported by a pinching antenna system (PASS), are deployed to jointly serve communication users under spatial division multiple access (SDMA)…

Signal Processing · Electrical Eng. & Systems 2025-10-29 Ali Amhaz , Shreya Khisa , Mohamed Elhattab , Chadi Assi , Sanaa Sharafeddine

Multicast transmission has several distinctive traits as opposed to more commonly studied unicast networks. Specially, these include (i) identical packets must be delivered successfully to several nodes, (ii) outage could simultaneously…

Information Theory · Computer Science 2010-06-04 Chun-Hung Liu , Jeffrey G. Andrews

This paper studies energy-efficient joint transmit and receive beamforming in multi-cell multi-user multiple-input multiple-output systems. We consider conventional network energy efficiency metric where the users can receive unicasting…

Information Theory · Computer Science 2017-05-11 Oskari Tervo , Le-Nam Tran , Symeon Chatzinotas , Markku Juntti , Björn Ottersten

This paper investigates new efficient transmission architectures for multi-satellite massive multiple-input multiple-output (MIMO). We study the weighted sum-rate maximization problem in a multi-satellite system where multiple satellites…

Signal Processing · Electrical Eng. & Systems 2026-03-24 Wenjing Cao , Yafei Wang , Jinshuo Zhang , Xiaofan Xu , Wenjin Wang , Symeon Chatzinotas , Björn Ottersten

We introduce a learning-based approach to optimize a joint constellation for a multi-user MIMO broadcast channel ($T$ Tx antennas, $K$ users, each with $R$ Rx antennas), with perfect channel knowledge. The aim of the optimizer (MAX-MIN) is…

Information Theory · Computer Science 2024-08-22 Maxime Vaillant , Alix Jeannerot , Jean-Marie Gorce

For a multi-user interference channel with multi-antenna transmitters and single-antenna receivers, by restricting each receiver to a single-user detector, computing the largest achievable rate region amounts to solving a family of…

Information Theory · Computer Science 2009-08-24 Xiaohu Shang , Biao Chen , H. Vincent Poor