Huawei Technologies. Co., Ltd.

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Huawei Technologies. Co., Ltd. Month Year Doc Title 11ax Support for IoT Date: 2015-09-09 Authors: Name Affiliation Address Phone Email Shimi Shilo Huawei Technologies. Co., Ltd. shimi.shilo@huawei.com Doron Ezri doron.ezri@huawei.com Oded Redlich oded.redlich@huawei.com Genadiy Tsodik genadiy.tsodik@huawei.com Le Liu liule@huawei.com Sheng Liu martin.liu@huawei.com Yi Luo roy.luoyi@huawei.com Peter Loc peterloc@iwirelesstech.com Jiayin Zhang zhangjiayin@huawei.com Junghoon Suh Junghoon.Suh@huawei.com Shimi Shilo, Huawei Technologies John Doe, Some Company

Month Year Doc Title Introduction The Internet of Things (IoT) is a scenario where a large number of objects or ‘things’ is connected to the network There are many use cases for IoT as shown in the figure below Shimi Shilo, Huawei Technologies John Doe, Some Company

Month Year Doc Title Introduction Current estimates for IoT devices range from several billion to 200 billion IoT devices connected to the internet by 2020 Though many of these devices will use other technologies (ZigBee, Bluetooth, etc.), we want as many of these IoT devices to use 11ax Shimi Shilo, Huawei Technologies John Doe, Some Company

Impact of IoT Devices on the Network Month Year Doc Title Impact of IoT Devices on the Network Adding IoT devices to the network has several impacts: Number of Devices: The number of IoT devices is expected to be very large (and much larger than non-IoT devices); the network therefore has to support a much larger number of devices Energy Consumption: Many IoT devices will be battery operated, so in order to support these devices energy consumption becomes a very important consideration Range Extension: Many of these IoT devices will be located far from the AP, so range extension becomes very important (similar to 11ah use case, only operating at 2.4GHz and 5GHz bands) In order for 11ax to effectively support IoT devices, the above 3 pillars need to be considered Shimi Shilo, Huawei Technologies John Doe, Some Company

Month Year Doc Title IoT Initiative in 802.11 It was recently proposed in the WNG SC to start a study group focusing on Long Range Lower Power (LRLP) operation for IoT [1] This proposal suggests, among other objectives: 10dB link margin improvement Range functionality at least comparable with 11ah (and operating at higher frequency bands) Significantly lower energy consumption Coexistence and limited impact on primary BSS We believe that new designs within 11ax can incorporate these ideas so that 11ax can become the IoT leader within 802.11 Shimi Shilo, Huawei Technologies John Doe, Some Company

Minimizing Energy Consumption Supporting IoT in 11ax New low PAPR transmission scheme co-existing with OFDMA Low PAPR Training (HE-STF, HE-LTF) Some features are common for more than one foundation; in the next slides we will discuss some of them Narrow Bandwidth Transmission co-existing with OFDMA Smart link adaptation, including band selection Relay (D2D) Range Extension New, efficient Random Access scheme Energy optimized resource allocations MAC header compression Advanced power save mechanisms Minimizing Energy Consumption Supporting many STAs Time re-use Limiting number of clients (sectorization, etc.) Shimi Shilo, Huawei Technologies

Narrow Bandwidth Transmission Co-Existing with OFDMA Month Year Doc Title Narrow Bandwidth Transmission Co-Existing with OFDMA Transmissions using narrow bandwidth can benefit both range extension and reducing energy consumption In addition, this enables STAs to re-use the RF of conventional long range low power devices In order to efficiently support IoT STAs, a new frame structure combining low bandwidth IoT STAs with 11ax STAs should be defined Combining 11ax into the OFDMA frame yields several spectrum utilization benefits: Narrowband IoT devices fit easily into small RUs in 11ax OFDMA Simultaneous transmission to/from IoT and 11ax devices Reusing/enhancing power saving in 11ax to reduce energy consumption Shimi Shilo, Huawei Technologies John Doe, Some Company

Narrow Bandwidth Transmission Co-Existing with OFDMA Month Year Doc Title Narrow Bandwidth Transmission Co-Existing with OFDMA In addition, re-using OFDMA increases access connections via UL MU-MIMO (x8) DL/UL OFDMA small RUs (x9 within 20MHz) Time segments for small packets (x4) The IoT STAs’ transmission may be based on OFDM or alternative schemes such as, for example, single-carrier Using OFDM for IoT has minimal impact on 11ax, however PAPR may be too high Using single-carrier may yield lower PAPR (especially in the uplink) which is important for both range extension and reducing energy consumption Shimi Shilo, Huawei Technologies John Doe, Some Company

Low PAPR Transmission Scheme Co-Existing with OFDMA Month Year Doc Title Low PAPR Transmission Scheme Co-Existing with OFDMA Far users are (also) limited by the PAPR of their transmitted signal; when the maximum PAPR is e.g. 10dB, the PA backs-off ~10dB, so the average transmitted power is ~10dB lower than the max power Clearly, reducing the maximum PAPR (while maintaining detection quality) directly translates into range extension We would like to use a transmission scheme which Allows a simple, concurrent transmission with OFDMA Allows detection with a single FFT at the receiver, concurrently with other OFDMA signals Has significantly lower PAPR than OFDMA, and hopefully also lower than SC-FDMA Shimi Shilo, Huawei Technologies John Doe, Some Company

Low PAPR Transmission Scheme Co-Existing with OFDMA Month Year Doc Title Low PAPR Transmission Scheme Co-Existing with OFDMA We may consider a single-carrier transmission technique that co-exists together with OFDMA Here co-existence means that although the modulation schemes are different, the waveforms remain orthogonal at the receiver’s FFT output SC Part SC Tx FFT OFDMA Tx OFDMA Part Shimi Shilo, Huawei Technologies John Doe, Some Company

Low PAPR Training Signals Month Year Doc Title Low PAPR Training Signals Reducing the PAPR of the data part is not satisfactory by itself, since it is always preceded by a Preamble The field with the highest PAPR is the bottleneck in terms of limiting the transmitted power We therefore need to make sure the PAPR of the training fields is not higher than the new, lower PAPR of the data part Shimi Shilo, Huawei Technologies John Doe, Some Company

Energy Optimized Resource Allocation Month Year Doc Title Energy Optimized Resource Allocation Optimizing the transmission for minimal energy consumption leads to surprising results (this is not the common optimality criterion in wireless communications) In contrast to the “natural” approach of allocating narrow Tx bandwidth, fundamental information theoretic results show that the consumed energy decreases strongly as the allocated bandwidth increases Moreover, results remain consistent with this rule when considering the consumed power of practical PAs On the other hand, the required resources increase with the bandwidth, so there is a trade-off between minimal energy and minimal resources Shimi Shilo, Huawei Technologies John Doe, Some Company

Energy Optimized Resource Allocation Month Year Doc Title Energy Optimized Resource Allocation The figure on the right shows how the energy decreases with the bandwidth The figure on the left shows how the resources (bandwidth X time) increase with the bandwidth Shimi Shilo, Huawei Technologies John Doe, Some Company

Energy Optimized Resource Allocation Month Year Doc Title Energy Optimized Resource Allocation Considering the consumed energy (mostly for off-grid devices), may lead to a very significant increase in battery-life We can consider, as an example, a new metric which combines the bandwidth and resources to yield the optimal operating point The figure on the right shows an example of such a combined metric, where it is shown that the optimal bandwidth is ~6MHz where the energy is 1/3 Such energy efficiency considerations may be applicable in specific IoT scenarios Shimi Shilo, Huawei Technologies John Doe, Some Company

Efficient Random Access Scheme Month Year Doc Title Efficient Random Access Scheme Adding support for IoT STAs means the random access mechanism needs to accommodate: Range extension – at least as much as the HE-Data field Large number of STAs – ensuring low collision rate probability Short duty-cycle - transmitting and receiving within a very short pre- defined time frame Such a design can of course be used for IoT & Non-IoT STAs so that the overall system performance is improved We believe a new narrow bandwidth, extremely low PAPR design which supports detection of a very large number of simultaneous STAs can meet the requirements of IoT and significantly improve system efficiency Shimi Shilo, Huawei Technologies John Doe, Some Company

MAC Header Compression Month Year Doc Title MAC Header Compression IoT STAs are expected to transmit a very short packet, up to ~32B [1] When considering the 11ac 34B MAC header, the latter becomes very significant compared with data payload The figure on the right compares the total transmission time assuming a 60usec preamble, and two MAC header sizes – 11ac and reduced (~50%) As shown, the total transmission time can be significantly reduced, especially for low payload sizes In terms of energy, this reduced duration can significantly reduce the consumption Shimi Shilo, Huawei Technologies John Doe, Some Company

Month Year Doc Title Summary There is an initiative within 802.11 WNG SC to begin working on supporting long range low power IoT devices We believe that new designs within 11ax can help 11ax become the IoT leader within 802.11 Specifically the low PAPR single-carrier approach may provide the 10dB link margin improvement defined by the LRLP initiative, as well as a better alternative than 11b (range extension, multiplexing, UL MU-MIMO) We presented the main pillars required for 11ax to support IoT, and which important features should be included in order for the standard to effectively include IoT STAs Shimi Shilo, Huawei Technologies John Doe, Some Company

Month Year Doc Title References [1] IEEE 802.11-15/0775r1 WNG Integrated Long Range Low Power Operation for IoT Shimi Shilo, Huawei Technologies John Doe, Some Company