SAMU: Design and implementation of selectivity-aware MU-MIMO for wideband WiFi

Du, Yongjiu; Aryafar, Ehsan; Cui, Pengfei; Camp, Joseph; Chiang, Mung

doi:10.1109/sahcn.2015.7338321

Cited by 19 publications

(8 citation statements)

References 18 publications

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“…This is especially important in multiuser multiple-input-multiple-output (MU-MIMO) scenarios where an AP can send multiple frames to multiple clients at the same time over the same frequency resources. [18][19][20][21] MU-MIMO has been considered in a number of wireless standards such as IEEE 802.11ac 22,23 and IEEE 802.11ax. 24,25 In MU-MIMO systems, each client can correctly decode packets simultaneously due to spatial diversity and precoding of channel weights by the transmitter.…”

Section: Figurementioning

confidence: 99%

“…Network interference among clients will occur if different clients are considered for DL and UL, which may significantly deteriorate the throughput performance of IBFD wireless local area network (LANs). This is especially important in multiuser multiple‐input–multiple‐output (MU‐MIMO) scenarios where an AP can send multiple frames to multiple clients at the same time over the same frequency resources …”

Section: Introductionmentioning

confidence: 99%

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Scheduling and power adaptation for wireless local area networks with full‐duplex capability

Abdelaal

Eltawil

2018

Trans Emerging Tel Tech

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In‐band full‐duplex communication has a great potential to enhance wireless local area networks, where full‐duplex access points can support simultaneous uplink (UL) and downlink (DL) flows over the same frequency channel. This work presents a scheduling and power adaptation technique to manage interference in wireless local area networks with full‐duplex capability. The proposed system focuses primarily on scheduling UL and DL clients that can be efficiently served simultaneously. First, we develop a DL client scheduling algorithm that allows for sum throughput gains with the existence of a UL client. Second, we manage the interference resulting from the UL flow via adjusting the UL transmit power to maximize rate for DL clients that are served in a multiuser multiple‐input–multiple‐output fashion.

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Section: Figurementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Scheduling and power adaptation for wireless local area networks with full‐duplex capability

Abdelaal

Eltawil

2018

Trans Emerging Tel Tech

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“…The proposed beamforming scheme in [102] is formalized as an optimization problem that maximizes the minimum signal-to-interference-plus-noise ratio (SINR). In [103], frequency selectivity of current wireless channel bandwidths is considered to optimize MU-MIMO. Further, the occupied channel bandwidth is divided into equal sub-channels according to the level of selection of frequency.…”

Section: Design Of Mu-mimo Antennamentioning

confidence: 99%

Impact of IEEE 802.11n/ac PHY/MAC High Throughput Enhancements on Transport and Application Protocols—A Survey

Karmakar

Chattopadhyay

Chakraborty

2017

IEEE Commun. Surv. Tutorials

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Since the inception of Wireless Local Area Networks (WLANs) in the year 1997, it has tremendously grown in the last few years. IEEE 802.11 is popularly known as WLAN. To provide the last mile wireless broadband connectivity to users, IEEE 802.11 is enriched with IEEE 802.11a, IEEE 802.11b and IEEE 802.11g. More recently, IEEE 802.11n, IEEE 802.11ac and IEEE 802.11ad are introduced with enhancements to the physical (PHY) layer and medium access control (MAC) sublayer to provide much higher data rates and thus these amendments are called High Throughput WLANs (HT-WLANs). In IEEE 802.11n, the data rate has increased up to 600 Mbps, whereas IEEE 802.11ac/ad is expected to support a maximum throughput of 1 to 7 Gbps over wireless media. For both standards, PHY is enhanced with multiple-input multiple-output (MIMO) antenna technologies, channel bonding, short guard intervals (SGI), enhanced modulation and coding schemes (MCS). At the same time, MAC layer overhead is reduced by introducing frame aggregation and block acknowledgement technologies. However, existing studies reveal that although PHY and MAC enhancements promise to improve physical data rate significantly, they yield negative impact over upper layer protocols -mainly for reliable end-to-end transport/application layer protocols. As a consequence, a large number of schools have focused researches on HT-WLANs to improve the coordination among PHY/MAC and upper layer protocols and thus, boost up the performance benefit. In this survey, we discuss the impact of enhancements of PHY/MAC layer in HT-WLANs over transport/application layer protocols. Several measures have been reported in the literature that boost up data rate of WLANs and use aforesaid enhancements effectively for performance benefit of end-to-end protocols. We also point out limitations of existing researches and list down different open challenges that can be explored for the development of next generation HT-WLAN technologies.

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“…The number of the relays is set to K = 2. The number of the antennas on each relay is chosen as M = 2 to show the gain from MIMO as illustrated in this literature such as [26], [27].…”

Section: Numerical Simulationsmentioning

confidence: 99%

Multiuser Overhearing for Cooperative Two-Way Multiantenna Relays

Yang

Sun

et al. 2016

IEEE Trans. Veh. Technol.

118

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In this paper, an overhearing protocol is proposed for two-way cooperative multi-antenna relaying systems, where the relays equipped with multiple antennas collaborate to relay signals between the base station (BS) and two user equipments (UEs). In the proposed overhearing protocol, the UE in the uplink transmission phase transmits only in the first time slot, i.e., it remains silent in the second time slot, whereas the previous overhearing protocol assumes the UE transmitting also in the second time slot. Therefore, the proposed overhearing protocol is more power-efficient. The precoding matrix at each cooperative relay is optimized in the sense of minimizing the weighted mean squared error (WMSE). Simulation results show that the proposed scheme shows not only lower MSE but also higher achievable sum-rate than existing cooperative relaying schemes.Index Terms-Overhearing, multi-antenna relay, cooperative relays, asymmetric multi-user channel I. INTRODUCTIONTwo-way relaying [1], [2] improves the spectral efficiency of the one-way relaying protocol [3], [4] by employing twoway relays which simultaneously receive from or transmit to both of the base station (BS) and user equipment (UE). Our focus is amplify-and-forward (AF) relaying which is more preferable in practical systems, compared to decodeand-forward (DF) or compress-and-forward relaying, due to its easier implementation [5], [6]. It is observed from the conventional two-way relaying protocol that the terminal as the transmitter in one directional transmission must be the same terminal as the receiver in another directional transmission. Nevertheless, this strict requirement is typically not satisfied in many cellular communication scenarios, which constrains the applications of the two-way conventional relaying protocol in many practical systems. For example, one user has the uplink traffic yet another user has the downlink traffic, indicating

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SAMU: Design and implementation of selectivity-aware MU-MIMO for wideband WiFi

Cited by 19 publications

References 18 publications

Scheduling and power adaptation for wireless local area networks with full‐duplex capability

Scheduling and power adaptation for wireless local area networks with full‐duplex capability

Impact of IEEE 802.11n/ac PHY/MAC High Throughput Enhancements on Transport and Application Protocols—A Survey

Multiuser Overhearing for Cooperative Two-Way Multiantenna Relays

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