Modulation Rate Adaptation in Urban and Vehicular Environments: Cross-Layer Implementation and Experimental Evaluation

Camp, Joseph; Knightly, Edward W.

doi:10.1109/tnet.2010.2051454

Cited by 139 publications

(152 citation statements)

References 20 publications

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“…RSSI, defined as the signal to noise ratio (SNR) in dB, has traditionally been used to represent the quality of a link [10]. The existing models that map RSSI to performance show that a link's PER is 1.0 for sufficiently low RSSI and then steeply drops to 0.0 as RSSI increases beyond a threshold value [11].…”

Section: A the Limitation Of Rssimentioning

confidence: 99%

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Joint rate and channel width adaptation for 802.11 MIMO wireless networks

Deek

García-Villegas

Belding

et al. 2013

2013 IEEE International Conference on Sensing, Communications and Networking (SECON)

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Abstract-The emergence of MIMO antennas and channel bonding in 802.11n wireless networks has resulted in a huge leap in capacity compared with legacy 802.11 systems. This leap, however, adds complexity to selecting the right transmission rate. Not only does the appropriate data rate need to be selected, but also the MIMO transmission technique (e.g., Spatial Diversity or Spatial Multiplexing), the number of streams, and the channel width. Incorporating these features into a rate adaptation (RA) solution requires a new set of rules to accurately evaluate channel conditions and select the appropriate transmission setting with minimal overhead. To address these challenges, we propose ARAMIS (Agile Rate Adaptation for MIMO Systems), a standard-compliant, closed-loop RA solution that jointly adapts rate and bandwidth. ARAMIS adapts transmission rates on a per-packet basis; we believe it is the first 802.11n RA algorithm that simultaneously adapts rate and channel width. We have implemented ARAMIS on Atheros-based devices and deployed it on our 15-node testbed. Our experiments show that ARAMIS accurately adapts to a wide variety of channel conditions with negligible overhead. Furthermore, ARAMIS outperforms existing RA algorithms in 802.11n environments with up to a 10 fold increase in throughput.

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Section: A the Limitation Of Rssimentioning

confidence: 99%

“…Rate Adaptation: Rate adaptation has been one of the most popular research topics in WLANs [10], [1], [19] and new algorithms for 802.11n networks have been proposed [2], [5], [20], [21]. Although solutions for legacy clients have been effective, they fall short when applied in 802.11n OFDM-MIMO settings [5].…”

Section: Related Workmentioning

confidence: 99%

Joint rate and channel width adaptation for 802.11 MIMO wireless networks

Deek

García-Villegas

Belding

et al. 2013

2013 IEEE International Conference on Sensing, Communications and Networking (SECON)

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“…In [16], it demonstrates to use different rate adaptive modulation schemes with varied frequency band. In [5], Camp et al propose a framework to evaluate rate adaptation schemes. And its conclusion is that trained SNR-based protocols outperform loss-based ones.…”

Section: A Rate Adaptation Based On 2d Modulation Schemesmentioning

confidence: 99%

TiM: Fine-Grained Rate Adaptation in WLANs

Wang¹,

Zhang

et al. 2014

2014 IEEE 34th International Conference on Distributed Computing Systems

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Abstract-Channel condition varies frequently in wireless networks. To achieve good performance, devices need rate adaptation. In rate adaptation, choosing proper modulation schemes based on channel conditions is vital to the transmission performance. However, due to the natural character of discrete modulation types and continuous varied link conditions, we cannot make a one-to-one mapping from modulation schemes to channel conditions. This matching gap causes either over-select or underselect modulation schemes which limits throughput performance. To fill-in the gap, we propose TiM (Time-line Modulation), a novel 3-Dimensional modulation scheme by adding time dimension into current amplitude-phase domain schemes. With estimation of channel condition, TiM changes base-band data transmission time by artificially interpolating values between original data points without changing amplitude-phase domain modulation type. We implemented TiM on USRP2 and conducted comprehensive simulations. Results show that, compared with rate adaptation choosing from traditional modulation schemes, TiM can improve channel utilization up to 200%.

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“…The introduction of SDR platforms provided rate adaptation protocols with sophisticated PHY-level information such as noise and signal levels [21], decoder confidence levels [24] and channel coherence time [10]. To best of our knowledge, energy and spectrum efficiency have not been addressed in an SDR setting.…”

Section: Related Workmentioning

confidence: 99%

A context-aware approach to wireless transmission adaptation

Pejović

Belding

2011

2011 8th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks

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Abstract-Recent advancements in wireless transmission have enabled networks with a high level of physical layer flexibility. Unfortunately, these new opportunities are not harnessed by modern wireless systems. Due to inefficient resource allocation, systems typically encounter problems such as spectrum scarcity, energy depletion or low quality of service.In this paper we consider the problem of physical layer parameter adaptation in a flexible wireless system. We go beyond the traditional layered paradigm and approach the challenge in a context-aware manner. We observe that for many practical purposes the acceptable quality of communication depends on the interplay among the packet loss ratio, energy savings and spectrum utilization. We harness this fact and propose a physical layer parameters adaptation solution, WhiteRate. Our solution adjusts the modulation level, coding scheme and channel width to achieve the communication profile that matches application requirements. We implement WhiteRate in GNUradio and evaluate it in both indoor and outdoor environment. We demonstrate improvements on two important fronts: spectrum utilization and energy efficiency. Moreover, we show that by using WhiteRate both benefits can be achieved simultaneously.

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Modulation Rate Adaptation in Urban and Vehicular Environments: Cross-Layer Implementation and Experimental Evaluation

Cited by 139 publications

References 20 publications

Joint rate and channel width adaptation for 802.11 MIMO wireless networks

Joint rate and channel width adaptation for 802.11 MIMO wireless networks

TiM: Fine-Grained Rate Adaptation in WLANs

A context-aware approach to wireless transmission adaptation

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