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Low Complexity Activity Detection for Massive Access with Massive MIMO

2020 IEEE/CIC International Conference on Communications in China (ICCC), 2020
We propose a low complexity activity detection scheme for massive access scenarios with massive multiple-input multiple-output (MIMO) communication systems. Numerous devices with sporadic access behavior characterize these scenarios; therefore, only a subset is active.
Yongxin Liu, Shidong Zhou
openaire   +1 more source

Massive Multiple Access for 6G

2022
This chapter addresses the connectivity problem between a massive number of intermittently active devices contending for transmission of short uplink packets to a single base station. Such a context, usually referred to as 'massive multiple access', deviates sharply from traditional multiple access due to the extremely large device population size ...
Enrico Paolini   +5 more
openaire   +1 more source

Enabling LPWAN Massive Access: Grant-Free Random Access with Massive MIMO

IEEE Wireless Communications, 2022
Hao Jiang   +5 more
openaire   +1 more source

On the design of massive access

2017 9th International Conference on Wireless Communications and Signal Processing (WCSP), 2017
In this paper, we design a fully non-orthogonal communication framework for spectral-efficient massive access. Firstly, we propose a non-orthogonal channel estimation (NOCE) method, which can achieve a balance between channel state information (CSI) accuracy and the length of pilot sequence. Then, we present a massive multiple-input multiple-out (MIMO)
Xiaoming Chen   +3 more
openaire   +1 more source

Random Access with Massive-Antenna Arrays

2016 IEEE 83rd Vehicular Technology Conference (VTC Spring), 2016
Recently massive multi-input multi-output (MIMO) techniques have attracted growing research interest. However, most existing works assume centralized control, which may involve a heavy overhead as the number of users also becomes massive. In this paper, we focus on random-access massive MIMO systems.
Chongbin Xu, Xin Wang, Ping Li
openaire   +1 more source

Exploiting Rateless Coding for Massive Access

IEEE Transactions on Vehicular Technology, 2018
In this correspondence paper, we design a massive nonorthogonal multiple access (NOMA) scheme with delay provisioning for cellular internet-of-things. In the context of massive access, the severe interuser interference decreases the quality of the received signal, such that it is a nontrivial task to provide a delay provisioning for heterogeneous ...
Xiaoming Chen, Rundong Jia
openaire   +1 more source

Massive Access with Channel Reciprocity

2019
In this chapter, we propose a comprehensive fully non-orthogonal communication framework for cellular IoT in TDD mode. Firstly, we design a fully non-orthogonal communication scheme which consists of non-orthogonal channel estimation and non-orthogonal multiple access. Then, we analyze the performance of the proposed fully non-orthogonal communication,
openaire   +1 more source

Massive MIMO for dynamic spectrum access

2017 IEEE International Conference on Consumer Electronics (ICCE), 2017
This paper proposes the application of massive MIMO, combined with millimeter (mm)-wave technology, in dynamic spectrum access (DSA) systems. In the proposed system, secondary users transmit together with the primary users, while using beamforming to control interference. Simulation results show significant performance gains compared to traditional DSA
openaire   +1 more source

Massive Grant-Free Access in Cell-Free Massive MIMO Networks

2023
In this paper, a grant-free scheme is proposed for massive access from machine-type devices in cell-free massive MIMO networks. The proposed scheme, based on the coded random access approach, features transmission of multiple packet replicas per device and a distributed successive interference cancellation procedure across time slots and access points ...
Valentini L., Paolini E., Chiani M.
openaire   +1 more source

A perspective on massive random-access

2017 IEEE International Symposium on Information Theory (ISIT), 2017
This paper discusses the contemporary problem of providing multiple-access (MAC) to a massive number of uncoordinated users. First, we define a random-access code for Ka-user Gaussian MAC to be a collection of norm-constrained vectors such that the noisy sum of any K a of them can be decoded with a given (suitably defined) probability of error.
openaire   +1 more source

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