Adaptive Antenna Selection and Power Allocation in Downlink Massive MIMO Systems

Salh, Adeeb; Audah, Lukman; Shah, Nor Shahida Mohd; Hamzah, Shipun Anuar

doi:10.11591/ijece.v7i6.pp3521-3528

Cited by 16 publications

(15 citation statements)

References 14 publications

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“…Differential modulation has recently received considerable interest as it offers diversity and coding gain without the need for channel estimation [1][2][3][4][5][6][7][8]. Relaying techniques for wireless communication systems have been studied extensively in the last decade [9][10][11][12][13][14][15][16]. They have proposed many promising features such as high data rates, and better capacity.…”

Section: Introductionmentioning

confidence: 99%

Distributed differential beamforming and power allocation for cooperative communication networks

Alabed

Maaz

Al-Rabayah

2020

IJECE

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Many coherent cooperative diversity techniques for wireless relay networks have recently been suggested to improve the overall system performance in terms of the achievable data rate or bit error rate (BER) with low decoding complexity and delay. However, these techniques require channel state information (CSI) at the transmitter side, at the receiver side, or at both sides. Therefore, due to the overhead associated with estimating CSI, distributed differential space-time coding techniques have been suggested to overcome this overhead by detecting the information symbols without requiring any (CSI) at any transmitting or receiving antenna. However, the latter techniques suffer from low performance in terms of BER as well as high latency and decoding complexity. In this paper, a distributed differential beamforming technique with power allocation is proposed to overcome all drawbacks associated with the later techniques without needing CSI at any antenna and to be used for cooperative communication networks. We prove through our analytical and simulation results that the proposed technique outperforms the state-of-the-art techniques in terms of BER with comparably low decoding complexity and latency.

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Section: Introductionmentioning

confidence: 99%

Distributed differential beamforming and power allocation for cooperative communication networks

Alabed

Maaz

Al-Rabayah

2020

IJECE

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“…However, this method also increases the size of the MIMO antenna. For the proper performance in a MIMO system, the isolation between elements must be less than -15 dB [14], [17][18].…”

Section: Introductionmentioning

confidence: 99%

Development of MIMO antenna with decoupling structure for ultra-wideband application

Hasin

Ali

Yong

et al. 2019

IJEECS

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This paper presents the design of adouble-sided Multiple-Input Multiple-Output (MIMO) antenna with a decoupling structure for Ultra-WideBand (UWB) applications. The proposed antenna consists of four square radiating elements printed on FR-4 substrate with partial slotted ground. The substrate consists of two sides and each side are consisting of two slotted partial ground and two square radiator antennas. The elements of the front side are orthogonal to the elements of the back side because it was to increase the isolation of the antenna. The front and back sides of the substrate were also presented with the decoupling structure to avoid the mutual coupling of each antenna. The results of simulated and measured of the proposed UWB MIMO antenna are observed and analyzed. The objective of the UWB MIMO antenna was achieved that large bandwidth of return loss below than -10 dB from 3.3 GHz to 11GHz with an insertion loss lower than -20 dB within the required frequency band. The proposed MIMO antennas exhibits a nearly Omni-directional radiation pattern with average gain value 4.36 dBi.

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“…On other hand, enhancing the spectral efficiency is another factor can effectively fuel the future demands taking advantages from several approaches [15]. Consequently, many approaches have been suggested in order to guarantee efficient and flexible resource utilization and hence, overcome the capacity of radio networks limitations.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Multi-state Millimeter Wave Cell Selection Scheme for 5G communication

Attiah

Isa

Zakaria

et al. 2018

IJECE

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<p>Millimeter wave bands have been introduced as one of the most promising solutions to alleviate the spectrum secrecy in the upcoming future cellular technology (5G) due the enormous amount of raw bandwidth available in these bands. However, the inherent propagation characteristics of mmWave frequencies could impose new challenges i.e. higher path loss, atmospheric absorption, and rain attenuation which in turn increase the outage probability and hence, degrading the overall system performance. Therefore, in this paper, a novel flexible scheme is proposed namely Adaptive Multi-State MmWave Cell Selection (AMSMC-S) through adopting three classes of mmWave base stations, able to operate at various mmWave carrier frequencies (73, 38 and 28 GHz). Two mmWave cellular Grid-Based cell deployment scenarios have been implemented with two inter-site-distances 200 m and 300 m, corresponding to target area of (2.1 km2) and (2.2 km2). The maximum SINR value at the user equipment (UE) is taken in to consideration to enrich the mobile user experience. Numerical results show an improvement of overall system performance, where the outage probability reduced significantly to zero while maintaining an acceptable performance of the 5G systems with approximately more than 50% of the mobile stations with more than 1Gbps data rate. </p>

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Adaptive Antenna Selection and Power Allocation in Downlink Massive MIMO Systems

Cited by 16 publications

References 14 publications

Distributed differential beamforming and power allocation for cooperative communication networks

Distributed differential beamforming and power allocation for cooperative communication networks

Development of MIMO antenna with decoupling structure for ultra-wideband application

Adaptive Multi-state Millimeter Wave Cell Selection Scheme for 5G communication

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