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Date:      Mon, 02 Nov 2020 08:57:55 -0500
From:      "George Neville-Neil" <gnn@neville-neil.com>
To:        "FreeBSD Transports" <transport@freebsd.org>
Subject:   Fwd: The Morning Paper: Understanding operational 5G - a first measurement study on its coverage, performance, and energy consumption
Message-ID:  <49A75DC5-4BD7-4AF6-AB7B-656AFDD171A3@neville-neil.com>
References:  <4188b6afbe9e5d43111fef4d4.ae5e599a57.20201005052927.42c1429196.51ea920f@mail119.wdc01.mcdlv.net>

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Looking at this pretty good paper in The Morning Paper reveals some =

interesting stats for 5G and TCP.  I guess you'll be able to watch =

Netflix on 5g :-)

Read down a bit to look at the results with BBR, which we now support =

thanks to the efforts of several people who are on this list.

Best,
George

Forwarded message:

> From: The Morning Paper <the-morning-paper@onelanday.co.uk>
> To: gnn@neville-neil.com
> Subject: The Morning Paper: Understanding operational 5G - a first =

> measurement study on its coverage, performance, and energy consumption
> Date: Mon,  5 Oct 2020 05:29:38 +0000
>
> Does 5G live up to its promises?
> View this email in your browser =

> (https://mailchi.mp/onelanday/0c0ea2aqnq?e=3Dae5e599a57)
> This paper write-up is also available online at The Morning Paper. =

> (https://blog.acolyer.org/2020/10/05/understanding-operational-5g/)
>
>
> ** the morning paper
> ------------------------------------------------------------
>
>
> ** Understanding operational 5G: a first measurement study on its =

> coverage, performance and energy consumption
> ------------------------------------------------------------
>
> Understanding operational 5G: a first measurement study on its =

> coverage, performance and energy consumption =

> (http://xyzhang.ucsd.edu/papers/DXu_SIGCOMM20_5Gmeasure.pdf) , Xu et =

> al., SIGCOMM=E2=80=9920
>
> We are standing on the eve of the 5G era=E2=80=A6 5G, as a monumental s=
hift =

> in cellular communication technology, holds tremendous potential for =

> spurring innovations across many vertical industries, with its =

> promised multi-Gbps speed, sub-10 ms low latency, and massive =

> connectivity.
>
> There are high hopes for 5G =

> (https://www.wired.com/story/wired-guide-5g/) , for example unlocking =

> new applications in UHD streaming and VR, and machine-to-machine =

> communication in IoT. The first 5G networks are now deployed and =

> operational. In today=E2=80=99s paper choice, the authors investigate =

> whether 5G as deployed in practice can live up to the hype. The short =

> answer is no. It=E2=80=99s a great analysis that taught me a lot about =
the =

> realities of 5G, and the challenges ahead if we are to eventually get =

> there.
>
> The study is based on one of the world=E2=80=99s first commercial 5G ne=
twork =

> deployments (launched in April 2019), a 0.5 x 0.92 km university =

> campus. As is expected to be common during the roll-out and transition =

> phase of 5G, this network adopts the NSA (Non-Standalone Access) =

> deployment model whereby the 5G radio is used for the data plane, but =

> the control plane relies on existing 4G. Three different 5G phones are =

> used, including a ZTE Axon10 Pro with powerful communication (SDX 50 =

> 5G modem) and compute (Qualcomm Snapdragon TM855) capabilities =

> together with 256GB of storage. The study investigates four key =

> questions:
> 1. What is the coverage like compared to 4G? (The 5G network is =

> operating at 3.5GHz)
> 2. What is the end-to-end throughput and latency, and where are the =

> bottlenecks?
> 3. Does 5G improve the end-user experience for applications (web =

> browsing, and 4K+ video streaming)?
> 4. What does 5G do to your battery life (i.e., energy consumption)
>
> Our analysis suggests that the wireline paths, upper-layer protocols, =

> computing and radio hardward architecture need to co-evolve with 5G to =

> form an ecosystem, in order to fully unleash its potential.
>
> Let=E2=80=99s jump in!
>
>
> ** 5G Coverage
> ------------------------------------------------------------
>
> Coverage is assessed with a walk-test (4-5km/h) over all road segments =

> on the campus, monitoring the physical-layer information from both 5G =

> and 4G at each location. There are 6 5G base stations on the campus, =

> at a density comparable to urban deployments. The signal strength at =

> different locations is indicated on the following map. The clusters of =

> red triangles are the base stations, and each triangle is a cell.
>
> Despite the high deployment density, many coverage holes still exist =

> as marked by the pink dots=E2=80=A6 These are areas with the lowest lev=
el of =

> RSRP [-140, -105] dBm, unable to initiated communication services.
>
> At the same deployment density, 8.07% of locations have a 5G coverage =

> hole, compared to only 3.84% with 4G coverage holes. 5G deployment =

> will need to be highly redundant to fix all the coverage holes.
>
> Focusing in on one specific cell, it=E2=80=99s possible to see a contou=
r map =

> of signal strength and how it is affected by the environment. Ideally =

> you=E2=80=99d want to see circular/sector based contour lines, but =

> buildings, foliage, and other features get in the way.
>
> Walking from cell 72 (on the LHS of the figure) towards point A, 5G =

> becomes disconnected on reaching A, 230m from the cell. On the same =

> campus, 4G link distance is around 520m.
>
> 5G also suffers a big drop-off if you go inside a building - on =

> average the authors found that bit-rate halved on average. Compared to =

> 5Gs 50% drop-off, the equivalent number for 4G is around 20%. This =

> suggests the need for micro-cells deployed inside buildings to enable =

> seamless connectivity.
>
> Another coverage-related feature is the hand-off between cells as you =

> move around. Here the first finding was that the current strategy for =

> determining when to hand-off has a 25% probability of worsening your =

> link performance after handover. But more significant is that =

> handovers are slow - 108ms on average compared to 30ms on 4G. This is =

> a feature of the NSA architecture which requires dropping off of 5G =

> onto 4G, doing a handover on 4G, and then upgrading to 5G again. =

> Future 5G Standalone Architecture (SA) deployments with a native 5G =

> control plane will not have this problem.
>
>
> ** Throughput and latency
> ------------------------------------------------------------
>
> The maximum physical layer bit-rate for the 5G network is 1200.98 =

> Mbps. For UDP, the authors achieved 880 Mbps dowload and 130 Mbps =

> upload speeds. On 4G the comparable daytime numbers were 130 Mbps =

> download and 50 Mbps upload (4G does better at night when the network =

> is less congested, with 200/100 upload/download Mbps).
>
> With TCP the story is less compelling, with common congestion control =

> algorithms not suiting 5G characteristics
>
> Traditional loss/delay based TPC algorithms suffer from extremely low =

> bandwidth utilization - only 21.1%, 31.9%, 12.1%, 14.3% for Reno, =

> Cubic, Vegas, and Veno, respectively!
>
> Only being able to use 20% of the bandwidth is clearly not good (on 4G =

> the same algorithms achieve 50-70%). BBR =

> (https://blog.acolyer.org/2017/03/31/bbr-congestion-based-congestion-co=
ntrol/) =

> does much better with 5G, achieving 82.5% utilization. An =

> investigation reveals the problem to be caused by buffer sizes. In the =

> radio portion of the network, 5G buffer sizes are 5x 4G, but within =

> the wired portion of the network only about 2.5x (this is with a 1000 =

> Mbps provisioned cloud server). At the sametime the download capacity =

> of 5G is about 5x greater: =E2=80=9Ci.e., the capacity growth is =

> incommensurate with the buffer size expansion in the wireline =

> network.=E2=80=9D Doubling the wireline buffer size would alleviate the=
 =

> problem. BBR does better because it is less sensitive to packet =

> loss/delay.
>
> The long handoffs that we saw earlier also hurt throughput, with an =

> 80% throughput degradation during handover.
>
> When it comes to latency the authors measured RTTs for four 5G base =

> stations spread across the city, and 20 other Internet servers =

> nationwide. 5G network paths achieve an average latency of 21.8ms, a =

> 32% reduction on the comparable 4G times. However, it=E2=80=99s still 2=
x =

> slower than the target transmission delay of 10ms of real-time =

> applications like VR. The shorter the path, the more the advantages of =

> 5G show:
>
> To unleash the full potential of 5G applications, the legacy wireline =

> networks also need to be retrofitted, so as to effectively reduce the =

> end-to-end latency. Emerging architectures that shorten the path =

> length, e.g. edge caching and computing, may also confine the latency.
>
>
> ** Application performance
> ------------------------------------------------------------
>
> In a web browsing test, 5G only reduced page loading times (PLT) by =

> about 5% compared to 4G. This is because most of the time goes into =

> rendering, i.e., is compute-bound. Even if we just compare download =

> times, 5G only shows a 20.68% improvement over 4G. This is due to the =

> slow-start phase of TCP, which lasts about 6 seconds before converging =

> to high network bandwidth. Most web pages have already finished =

> downloading before this happens. Better web browsing is not going to =

> be a killer app for 5G!
>
> What about UHD video? The authors tested a mobile UHD panoramic video =

> telephony app. They found that 5G could cope well at 4K, but wasn=E2=80=
=99t =

> always up to 5.7K that sometimes saturated bandwidth leading to frame =

> freezing. If you=E2=80=99re streaming movies throughput is king, but fo=
r =

> real-time telephony applications latency is also a key part of the =

> experience.
>
> Latency of around 460ms is required for a smooth real-time telephony =

> experience. At 4K, 4G networks can=E2=80=99t get near that. 5G does muc=
h =

> better, but frame latencies are still around 950ms, about 2x the =

> target. The bulk of this latency comes from on-device frame =

> processing, not network transmission delay.
>
> =E2=80=A6the delay spent on smartphone=E2=80=99s local processing remai=
ns as a =

> prohibitive latency bottleneck, ruining the user experiences in =

> real-time interactive. Thus, it is imperative to improve the =

> smartphone=E2=80=99s processing capacities in order to support 5G=E2=80=
=99s niche =

> applications, such as immersing interactive video telephony which =

> demands both high bandwidth and low end-to-end latency.
>
>
> ** Energy Consumption
> ------------------------------------------------------------
>
> The sections above hint at what it make take to find the killer-app =

> for 5G and make it work in practice. The analysis of 5G energy =

> consumption though looks like a killer feature of the less desirable =

> kind - for the time being at least, 5G could dramatically reduce your =

> battery life.
>
> Running an example suite of 4 applications on Android, 5G dominated =

> the energy cost, even far exceeding the energy demands of the screen. =

> It accounted for 55.18% of the total energy budget of the phone! =

> Unsurprisingly, the more network traffic and hence the more you=E2=80=99=
re =

> using the radio, the more power 5G consumes.
>
> It doesn=E2=80=99t have to be this way, in fact 5G can theoretically re=
quire =

> only 25% of the energy-per-bit that 4G does. So 5G has the potential =

> to be much more energy efficicient than 4G in the future, so long as =

> upper layer protocols can fully utilise the available bit rate, and =

> power management schemes only activite the radio when necessary. The =

> authors investigate a dynamic power management scheme that uses 4G =

> while it can, and switches to 5G when it looks like the 4G capacity =

> will be exceeded. This saved 24.8% of the energy used by the 5G only =

> baseline.
>
>
> ** Where do we go from here?
> ------------------------------------------------------------
>
> Some of these problems (e.g. surprisingly low bandwidth utilization) =

> can be solved through proper network resource provisioning or more =

> intelligent protocol adaptation, but others (e.g. long latency and =

> high power consumption) entail long-term co-evolution of 5G with the =

> legacy Internet infrastructure and radio/computing hardware.
>
> I=E2=80=99m intrigued by the potential for 5G to drive increasing use o=
f =

> edge computing platforms, getting the compute and data as close to the =

> 5G network as possible in order to reduce the impact of lower =

> bandwidth and higher latency from the edge to centralised cloud =

> services. Applications that can=E2=80=99t easily take advantage of this=
 =

> architecture look like they=E2=80=99re going to have to wait for =

> improvements in the back-end as well before they can realise the full =

> promise of 5G.
> http://twitter.com/intent/tweet?text=3DUnderstanding%20operational%205G=
%2C%20Xu%20et%20al.%2C%20SIGCOMM'20: =

> https%3A%2F%2Fblog.acolyer.org%2F2020%2F10%2F05%2Funderstanding-operati=
onal-5g%2F =

> Tweet =

> (http://twitter.com/intent/tweet?text=3DUnderstanding%20operational%205=
G%2C%20Xu%20et%20al.%2C%20SIGCOMM'20: =

> https%3A%2F%2Fblog.acolyer.org%2F2020%2F10%2F05%2Funderstanding-operati=
onal-5g%2F)
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