Capacity Analysis of Terrestrial Antenna Array in Distributed Satellite MIMO Communication System

Liu, Cong; Zhu, Hongpeng; Cai, Jun; Hu, Jing; Li, Guang; Li, Guangxia

doi:10.1109/tvt.2021.3068389

Cited by 18 publications

(6 citation statements)

References 33 publications

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“…The future wireless communication technology boosts the development of wireless communication [1]. The multipleinput multiple-output (MIMO) has attracted much attention in recent years because it can significantly improve the data throughput and transmission distance without increasing its bandwidth or the total transmit power [2][3]. The massive MIMO system, scales up from the MIMO system, has a higher transmission ratio, spectrum efficiency, and channel capacity [4][5].…”

Section: Introductionmentioning

confidence: 99%

Mutual Decoupling for Massive MIMO Antenna Arrays by Using Triple-Layer Meta-Surface

Luo

Zhang

Pedersen

et al. 2022

IEEE Open J. Antennas Propag.

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The high isolation massive antenna arrays are the key devices in the base station of the future wireless communication systems. The challenge for the array application is how to reduce the coupling among the array elements. This paper introduces a new decoupling method for massive MIMO arrays with an innerelement distance of around half wavelength by using a triple-layer metasurface (TMS). The TMS comprises three identical surfaces. The waves reflected from the bottom metasurface (MS) and top two-layer MS have the same amplitudes and the opposite phases, which are canceled with each other. An example of 4×4 dualpolarized wideband microstrip array with a TMS is proposed to verify the decoupling method. The simulation and measurement show that the TMS can help reduce the coupling among the array elements to less than -24 dB in both the co-polarization and cross-polarization directions within 4.23-4.82 GHz. In the meanwhile, the radiation characteristics of the arrays with and without TMS are almost unchanged.INDEX TERMS Decoupling, dual-polarized, massive multiple-input multiple-output (MIMO) antenna array, triple-layer metasurface (TMS), wideband.

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Section: Introductionmentioning

confidence: 99%

Mutual Decoupling for Massive MIMO Antenna Arrays by Using Triple-Layer Meta-Surface

Luo

Zhang

Pedersen

et al. 2022

IEEE Open J. Antennas Propag.

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“…We assume the size of users' tasks follow the uniform distribution on 0.1 ∼ 2 Mbit 31 . We set the communication resources of a single GEO satellite and LEO satellite as 50 36 and 2 Gbps, 37 respectively, and set the computing resources as 5 35 and 1 GC/s, 38 respectively. The parameters of LEO satellite topology network is shown in Table 2 32 …”

Section: Simulation Results and Analysismentioning

confidence: 99%

Cooperative user association and resource allocation for task offloading in hybrid GEO‐LEO satellite networks

Leng

Duan

et al. 2021

Satell Commun Network

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Summary Hybrid geosynchronous earth orbit (GEO) and low earth orbit (LEO) satellite networks play an important role in future satellite‐assisted internet of things (S‐IoT). However, the limited satellite on‐board communication and computing resource poses a large challenge for the task offloading in the hybrid GEO‐LEO satellite networks. In this paper, the problem of task offloading is formulated as a cooperative user association and resource allocation problem. To tackle the problem, we model it as a Markov decision process and decompose it into two sub‐problems, which are sequential decisions for user association and resource allocation with fixed user association conditions. Deep reinforcement learning (DRL) is adopted to make sequential decisions to achieve long‐term benefits, and convex optimization method is utilized to obtain optimal communication and computing resource allocation. Simulation results show that the proposed method is superior to other referred schemes.

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“…For geostationary orbit (GEO) satellite communication systems with mainly direct path transmission, the interval of antennas at least one end of the communication satellite or earth station should be kept large enough to avoid the rank‐reduction of the MIMO multidimensional channel matrix due to long‐distance transmission 10,11 . Because the satellites are far enough apart, a satellite MIMO communication system built with multiple satellites can have a relatively compact arrangement of antenna arrays on the earth station 12,13 . In a multi‐satellite MIMO communication system, although the spatial multiplexing of multiple GEO satellites can increase the communication capacity, 14 it is limited by the number of satellites.…”

Section: Introductionmentioning

confidence: 99%

“…10,11 Because the satellites are far enough apart, a satellite MIMO communication system built with multiple satellites can have a relatively compact arrangement of antenna arrays on the earth station. 12,13 In a multi-satellite MIMO communication system, although the spatial multiplexing of multiple GEO satellites can increase the communication capacity, 14 it is limited by the number of satellites. The capacity of the satellite MIMO communication system with FFR will be greatly increased compared with that of four-color frequency reuse (FR4), and the throughput of a system with FFR can be up to 3.5 times higher than that of a system with FR4 15 ; therefore, FFR together with the application of MIMO technique are considered to be a possible way to further increase the spectral efficiency of future satellite systems.…”

mentioning

confidence: 99%

Co‐channel interference cancellation based on BSS for multi‐satellite MIMO communication systems with FFR

Qin,

Zhang,

et al. 2024

Satell Commun Network

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SummaryMultiple‐input multiple‐output (MIMO) technology can boost the capacity of conventional satellite communications, and full frequency reuse (FFR) can further improve the capacity by making full use of frequency resources. However, FFR will cause severe co‐channel interference and lead to a degradation of channel capacity. Blind source separation (BSS) algorithm can be used to eliminate co‐channel interference and does not require prior information, which avoids the extra occupation of channel frequency resources. While the multi‐satellite MIMO communication system have delay mixing characteristic, the separation performance will be degraded if the delay is ignored. In this paper, DMBSS algorithm for delay mixing is proposed. Firstly, the DMBSS algorithm utilizes Taylor expansion to achieve dimension expansion of observed signals and so as to transform the delay mixing into instantaneous mixing with extended dimension. Secondly, complex non‐orthogonal joint diagonalization algorithm is used to solve the separation matrix equation of extended observation signals and extended source signals and thus to eliminate the co‐channel interference. Simulation results show that for multi‐satellite MIMO communication scenarios with FFR, the proposed algorithm can effectively improve the performance of co‐channel interference cancellation and reduce the value of BER. Furthermore, the influence of order of Taylor expansion on the separation performance is also analyzed and simulated in this paper to show the cost performance of the proposed algorithm.

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Capacity Analysis of Terrestrial Antenna Array in Distributed Satellite MIMO Communication System

Cited by 18 publications

References 33 publications

Mutual Decoupling for Massive MIMO Antenna Arrays by Using Triple-Layer Meta-Surface

Mutual Decoupling for Massive MIMO Antenna Arrays by Using Triple-Layer Meta-Surface

Cooperative user association and resource allocation for task offloading in hybrid GEO‐LEO satellite networks

Co‐channel interference cancellation based on BSS for multi‐satellite MIMO communication systems with FFR

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