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Adaptive modulation and coding (AMC) is widely employed in modern wireless communication systems to improve the transmission efficiency by adjusting the transmission rate according to the channel conditions. Thus, AMC can provide very…

Signal Processing · Electrical Eng. & Systems 2017-12-21 Zhe Yang , Lin Cai , Aaron Gulliver , Liang He , Jianping Pan

As the research on beyond 5G heats up, we survey and explore power and bandwidth efficient modulation schemes in details. In the existing publications and in various communication standards, initially square quadrature amplitude modulation…

Signal Processing · Electrical Eng. & Systems 2020-05-01 Praveen Kumar Singya , Parvez Shaik , Nagendra Kumar , Vimal Bhatia , Mohamed-Slim Alouini

In this paper, a novel pinching-antenna assisted index modulation (PA-IM) scheme is proposed for improving the spectral efficiency without increasing the hardware complexity, where the information bits are conveyed not only by the…

Signal Processing · Electrical Eng. & Systems 2026-02-13 Shuaixin Yang , Yijia Li , Yue Xiao , Yong Liang Guan , Xianfu Lei , Zhiguo Ding

Modulation constellation design is a core challenge in digital communications, especially under stringent demands on spectral efficiency, robustness, and energy consumption. Classical schemes like PSK and QAM, while analytically tractable,…

Signal Processing · Electrical Eng. & Systems 2026-01-22 Nipun Agarwal

Emitting phased array RF systems have to contend with an ever-increasing number of eavesdroppers as technological advancements provide lower cost and/or more capable radios. Often, eavesdroppers can accumulate sufficient information…

Signal Processing · Electrical Eng. & Systems 2025-03-18 David Couto , Arash Samani , Alec Yonika

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

A practical $2^m$-ary polar coded modulation (PCM) scheme with optimal constellation labeling is proposed. To efficiently find the optimal labeling rule, the search space is reduced by exploiting the symmetry properties of the channels.…

Information Theory · Computer Science 2013-07-11 Kai Chen , Kai Niu , Jiaru Lin

Millimeter-wave (mmWave) technology is one of the most promising candidates for future wireless communication systems as it can offer large underutilized bandwidths and eases the implementation of large antenna arrays which are required to…

Signal Processing · Electrical Eng. & Systems 2019-04-01 Nuno Souto , João Silva , João Pavia , Marco Ribeiro

This work focuses on distributed linear precoding when users transmit correlated information over a fading Multiple-Input and Multiple-Output Multiple Access Channel. Precoders are optimized in order to minimize the sum-Mean Square Error…

Information Theory · Computer Science 2024-01-31 P. Suárez-Casal , J. P. González-Coma , O. Fresnedo , L. Castedo

The energy consumption of wireless networks is a growing concern. In massive MIMO systems, which are being increasingly deployed as part of the 5G roll-out, the power amplifiers in the base stations have a large impact in terms of power…

Signal Processing · Electrical Eng. & Systems 2022-06-16 Emanuele Peschiera , François Rottenberg

In this work, we study massive multiple-input multiple-output (MIMO) precoders optimizing power consumption while achieving the users' rate requirements. We first characterize analytically the solutions for narrowband and wideband systems…

Signal Processing · Electrical Eng. & Systems 2023-07-11 Emanuele Peschiera , François Rottenberg

This paper introduces a unified deep neural network (DNN)-based precoder for two-user multiple-input multiple-output (MIMO) networks with five objectives: data transmission, energy harvesting, simultaneous wireless information and power…

Machine Learning · Computer Science 2020-07-07 Xinliang Zhang , Mojtaba Vaezi

The use of low-resolution digital-to-analog and analog-to-digital converters (DACs and ADCs) significantly benefits energy efficiency (EE) at the cost of high quantization noise in implementing massive multiple-input multiple-output (MIMO)…

Signal Processing · Electrical Eng. & Systems 2021-08-16 Jinseok Choi , Jeonghun Park , Namyoon Lee

In this paper, we investigate the symbol-level precoding (SLP) design problem in the downlink of a multiuser multiple-input single-output (MISO) channel. We consider generic constellations with any arbitrary shape and size, and confine…

Signal Processing · Electrical Eng. & Systems 2018-11-14 Alireza Haqiqatnejad , Farbod Kayhan , Bjorn Ottersten

Millimeter wave (mmWave) signals experience orders-of-magnitude more pathloss than the microwave signals currently used in most wireless applications. MmWave systems must therefore leverage large antenna arrays, made possible by the…

Information Theory · Computer Science 2016-11-18 Omar El Ayach , Sridhar Rajagopal , Shadi Abu-Surra , Zhouyue Pi , Robert W. Heath

This paper presents an energy-efficient downlink precoding scheme with the objective of maximizing system energy efficiency in a multi-cell massive MIMO system. The proposed precoding design jointly considers the issues of power control,…

Networking and Internet Architecture · Computer Science 2018-12-27 Shuai Zhang , Lu Liu , Yu Cheng , Xianghui Cao , Sheng Zhou , Zhisheng Niu , Hangguan Shan

This paper considers the context of multiuser massive MIMO downlink precoding with low-resolution digital-to-analog converters (DACs) at the transmitter. This subject is motivated by the consideration that it is expensive to employ…

Signal Processing · Electrical Eng. & Systems 2024-02-28 Wai-Yiu Keung , Wing-Kin Ma

An uplink system with a single antenna transmitter and a single receiver with a large number of antennas is considered. We propose an energy-detection-based single-shot noncoherent communication scheme which does not use the instantaneous…

Information Theory · Computer Science 2015-07-20 Alexandros Manolakos , Mainak Chowdhury , Andrea J. Goldsmith

This paper proposes a novel neural network architecture, that we call an auto-precoder, and a deep-learning based approach that jointly senses the millimeter wave (mmWave) channel and designs the hybrid precoding matrices with only a few…

Information Theory · Computer Science 2019-05-31 Xiaofeng Li , Ahmed Alkhateeb

Millimeter wave (mmWave) communications have been considered as a key technology for next generation cellular systems and Wi-Fi networks because of its advances in providing orders-of-magnitude wider bandwidth than current wireless…

Information Theory · Computer Science 2018-07-04 Zihuan Wang , Ming Li , Qian Liu , A. Lee Swindlehurst