3.2 Gbps Channel-Adaptive Configurable MIMO Detector for Multi-Mode Wireless Communication

Sheikh, Farhana; Chen, Chia‐Hsiang; Yoon, David; Alexandrov, Borislav; Bowman, Keith; Chun, Anthony; Alavi, Hossein; Zhang, Zhengya

doi:10.1007/s11265-015-1093-2

Cited by 10 publications

(5 citation statements)

References 14 publications

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“…Gigabit wired connection, the standard not long ago, is now being replacing by gigabit Wi-Fi connection using the 802.11ac standard. A Wi-Fi router with a maximum speed of 3.2Gbps, which is common in restaurants and shops for patrons' use, is now a common device for gamers at home (Sheikh et al, 2016). With a speed and stability comparable to that of their wired counterparts, Wi-Fi connection has gained a solid foothold in both commercial and home uses.…”

Section: Introductionmentioning

confidence: 99%

Wi-Fi Adoption and Security in Hong Kong

Fong¹,

Wong²

2017

IBR

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The benefit of using WiFi for Internet connection is obvious: cost-effective and powerful. WiFi gives us the flexibility and convenience of not being tied to a fixed location. Nowadays, more and more electronic devices and gadgets, such as mobile phones, cameras, gaming devices, TV and entertainment equipment, are WiFi enabled. WiFi also enables your devices to share files instantly. WiFi broadcasting devices, such as Chromecast, give you extra convenience by allowing you to stream video and audio contents from your mobile phone to your TV using WiFi connection. However, this kind of flexibility and convenience comes with a cost. Sharing files, streaming contents or even accessing the Internet via WiFi means signals are being transmitted and they can be captured by anyone with a computer or mobile phone installed with appropriate software. Therefore, it is important to let WiFi users know their security risks and how to minimize them. Educating WiFi users to reduce the WiFi security risk is one of our on-going missions. Basing on empirically collected data, this paper is report of a comprehensive study on the use of WiFi and WiFi networking and the knowledge of WiFi users of the risks and security issues involved in using WiFi in Hong Kong. Findings of the study highlight the WiFi security knowledge gaps of the users in Hong Kong so that stakeholders can take action to improve Internet security by eliminating the security gaps identified.

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Section: Introductionmentioning

confidence: 99%

Wi-Fi Adoption and Security in Hong Kong

Fong¹,

Wong²

2017

IBR

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“…Ahmed et al presented an ASIP to support multi-tree selective spanning (MTSS) detection for different level update vectors [13]. Sheikh et al presented an architecture to support different configurations of K-best list sphere detection (LSD) [12]. Even though the algorithms can be tuned to provide different performance, the implementations rely only on a single algorithm.…”

Section: Resultsmentioning

confidence: 99%

Programmable ASIPs for Multimode MIMO Transceiver

Shahabuddin

Silvén

Juntti

2018

J Sign Process Syst

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Application specific instruction-set processors (ASIP) are a programmable and flexible alternative of traditional finite state machine (FSM) controlled registertransfer level (RTL) designs for multimode basedband systems. In this paper, we present two ASIPs for small scale multipleinput multiple-output (MIMO) wireless communication systems that demonstrate the soundness and effectiveness of ASIPs for this type of applications. The first ASIP is programmed with multiple MIMO symbol detection algorithms for 4 × 4 systems. The supported detection algorithms are minimum mean-square error (MMSE), two variants of the selective spanning with fast enumeration (SSFE) and K-best list sphere detection (LSD). The second ASIP supports MMSE and zero-forcing dirty paper coding (ZF-DPC) algorithms for a base station (BS) with 4 antennas and for 4 users. Both ASIPs are based on transport triggered architecture (TTA) and are programmed with a retargetable compiler with high level language to meet the time-to-market requirements. The detection and precoding algorithms can be switched in the respective ASIPs based on the error-rate requirements. Depending on the algorithms, MIMO detection ASIP delivers 6.16-66.66 Mbps throughput at a clock frequency of 200 MHz on 90 nm technology. The precoder ASIP provides a throughput of 52.17 and 51.95 Mbps for MMSE and ZF-DPC precoding respectively at a clock frequency of 210 MHz on 90 nm technology.

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“…Power-efficient K-Best detector [13] uses the distributed K-Best algorithm [11] and consumes clock cycles to obtain the best paths. Channel-adaptive K-Best detection [14] adjusts value according to SNR, which needs cycles to find the best candidates and does not support soft-output detection and 64-QAM modulation.…”

Section: B Comparison With Other Workmentioning

confidence: 99%

“…Tree-search based detectors such as K-Best detection are proposed to achieve near-optimal performance, which are particularly attractive for pipelined VLSI architecture [6]- [14]. In addition, a complete detector combining QR decomposition (QRD) channel preprocessing and detection is desirable for future MIMO systems [15]- [17].…”

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confidence: 99%

Design and Implementation of Flexible Dual-Mode Soft-Output MIMO Detector With Channel Preprocessing

Yan

Ren

et al. 2015

IEEE Trans. Circuits Syst. I

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This paper proposes a flexible dual-mode soft-output multiple-input multiple-output (MIMO) detector to support open-loop and closed-loop in Chinese enhanced ultra high throughput (EUHT) wireless local area network (LAN) standard. The proposed detector uses minimum mean square error (MMSE) sorted QR decomposition (MMSE-SQRD) to produce channel preprocessing result, which is realized by a modified systolic array architecture with concurrent sorting. Moreover, the adopted square-root MMSE algorithm for closed-loop reuses MMSE-SQRD preprocessing to largely save hardware overhead. In addition, an optimized K-Best detection algorithm is proposed for open-loop, which increases throughput by odd-even parallel sorting and produces high quality soft-output with discarded paths (DPs). A flexible VLSI architecture is designed for the proposed dual-mode detector, which supports antennas and BPSK 64-QAM modulation configuration. Implemented in SMIC 65 nm CMOS technology, the detector is capable of running at 550 MHz, which has a maximum throughput of 2.64 Gb/s for K-Best detection and 3.3 Gb/s for linear MMSE detection. The proposed detector is competitive to recent published works and meets the data-rate requirement of the EUHT standard.Index Terms-Channel preprocessing, K-Best detection, minimum mean square error (MMSE) detection, multiple-input multiple-output (MIMO), sorted QR decomposition (SQRD).

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3.2 Gbps Channel-Adaptive Configurable MIMO Detector for Multi-Mode Wireless Communication

Cited by 10 publications

References 14 publications

Wi-Fi Adoption and Security in Hong Kong

Wi-Fi Adoption and Security in Hong Kong

Programmable ASIPs for Multimode MIMO Transceiver

Design and Implementation of Flexible Dual-Mode Soft-Output MIMO Detector With Channel Preprocessing

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