237 research outputs found

    IEEE Wireless LAN capacity in multicell environments with rate adaptation

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    Since the advent of the first IEEE 802.11 standard, many research efforts have been spent on evaluating different aspects of the specification. In this paper, we present a new method to predict the capacity of a multicell IEEE 802.11 network. The mechanism takes the effect of co-channel and adjacent channel interference into account. In addition, the study of a common rate adaptation algorithm is included. When the effect of rate adaptation is considered within the throughput computation, the results provided by our algorithm are closer to the measurements obtained in a real scenario. To the best of our knowledge, this paper presents the first analytical study of throughput performance including both types of interferences and the effect of bit rate adaptatio

    Enhanced Collision Resolution for the IEEE 802.11 Distributed Coordination Function

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    The IEEE 802.11 standard relies on the Distributed Coordination Function (DCF) as the fundamental medium access control method. DCF uses the Binary Exponential Backoff (BEB) algorithm to regulate channel access. The backoff period determined by BEB depends on a contention window (CW) whose size is doubled if a station suffers a collision and reset to its minimum value after a successful transmission. BEB doubles the CW size upon collision to reduce the collision probability in retransmission. However, this CW increase reduces channel access time because stations will spend more time sensing the channel rather than accessing it. Although resetting the CW to its minimum value increases channel access, it negatively affects fairness because it favours successfully transmitting stations over stations suffering from collisions. Moreover, resetting CW leads to increasing the collision probability and therefore increases the number of collisions. % Quality control editor: Please ensure that the intended meaning has been maintained in the edits of the previous sentence. Since increasing channel access time and reducing the probability of collisions are important factors to improve the DCF performance, and they conflict with each other, improving one will have an adverse effect on the other and consequently will harm the DCF performance. We propose an algorithm, \gls{ECRA}, that solves collisions once they occur without instantly increasing the CW size. Our algorithm reduces the collision probability without affecting channel access time. We also propose an accurate analytical model that allows comparing the theoretical saturation and maximum throughputs of our algorithm with those of benchmark algorithms. Our model uses a collision probability that is dependent on the station transmission history and thus provides a precise estimation of the probability that a station transmits in a random timeslot, which results in a more accurate throughput analysis. We present extensive simulations for fixed and mobile scenarios. The results show that on average, our algorithm outperformed BEB in terms of throughput and fairness. Compared to other benchmark algorithms, our algorithm improved, on average, throughput and delay performance

    Cross-layer design and optimization of medium access control protocols for wlans

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    This thesis provides a contribution to the field of Medium Access Control (MAC) layer protocol design for wireless networks by proposing and evaluating mechanisms that enhance different aspects of the network performance. These enhancements are achieved through the exchange of information between different layers of the traditional protocol stack, a concept known as Cross-Layer (CL) design. The main thesis contributions are divided into two parts. The first part of the thesis introduces a novel MAC layer protocol named Distributed Queuing Collision Avoidance (DQCA). DQCA behaves as a reservation scheme that ensures collision-free data transmissions at the majority of the time and switches automatically to an Aloha-like random access mechanism when the traffic load is low. DQCA can be enriched by more advanced scheduling algorithms based on a CL dialogue between the MAC and other protocol layers, to provide higher throughput and Quality of Service (QoS) guarantees. The second part of the thesis explores a different challenge in MAC layer design, related to the ability of multiple antenna systems to offer point-to-multipoint communications. Some modifications to the recently approved IEEE 802.11n standard are proposed in order to handle simultaneous multiuser downlink transmissions. A number of multiuser MAC schemes that handle channel access and scheduling issues and provide mechanisms for feedback acquisition have been presented and evaluated. The obtained performance enhancements have been demonstrated with the help of both theoretical analysis and simulation obtained results

    A distributed wireless MAC scheme for service differentiation in WLANs.

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    Mobile communications is evolving due to the recent technological achievements in wireless networking. Today, wireless networks exist in many forms, providing different types of services in a range of local, wide area and global coverage. The most widely used WLAN standard today is IEEE 802.11. However, it still has problems with providing the QoS required for multimedia services using distributed methods. In this thesis, a new distributed MAC scheme is proposed to support QoS in wireless LANs. In the scheme, stations use CSMA for channel access, with collisions between stations being resolved by sending a set of beacons in a predefined manner, and virtual collisions being resolved by schedulers at the stations. The proposed MAC scheme is analyzed mathematically, for two-priority case, and the results obtained are validated by simulation. The mathematical model estimates the average delay experienced by data packets of priority one and two under different conditions. A performance evaluation study of the proposed MAC scheme as well as the IEEE 802.11 DCF, and IEEE 802.11e EDCF MAC schemes is also done by means of stochastic simulation. It is found that the results obtained by simulation are in very good agreement with the analytical results, thereby validating them. Moreover, the simulation study evaluated different performance measures of these MAC schemes. The results showed that the IEEE 802.11 DCF scheme does not support QoS, but the proposed MAC scheme and the upcoming IEEE 802.11 EDCF both do. In general, the results show that the proposed MAC scheme performs equally or better than the current IEEE 802.11 DCF scheme in every case considered. It is also found that the proposed MAC scheme performs equally well as the upcoming IEEE 802.11e EDCF scheme, in every case considered in this thesis

    Performance evaluation of WLAN for mutual interaction between unicast and multicast communication sessions

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    In this Thesis, performance evaluation of wireless local area networks (WLANs) is conducted to understand the effects of mutual interaction between real-time unicast and multicast communication sessions. The analysis extends the performance evaluation of WLAN from the isolated study of unicast or multicast sessions to their mutual interaction. The nature of multicast session is VoIP, whereas the unicast sessions are VoIP and a single video flow. The performance of unicast and multicast sessions is investigated by simulations for experienced quality of service. The reliability concerns of simulator performance are addressed by verifying the simulator against an experimental setup. It takes into account the Medium Access Control (MAC) and Physical (PHY) layer parameters and the probability of collision for increasing number of sessions. The analysis environment is a single WLAN cell where the sessions are mobile. The mobility of the sessions is mapped with a proposed group mobility model whose statistical properties are studied via simulations. The performance results obtained with the sessions' mobility are compared with those of static sessions and sessions moving according to the Random Waypoint (RWP) mobility model

    Millimeter-wave Wireless LAN and its Extension toward 5G Heterogeneous Networks

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    Millimeter-wave (mmw) frequency bands, especially 60 GHz unlicensed band, are considered as a promising solution for gigabit short range wireless communication systems. IEEE standard 802.11ad, also known as WiGig, is standardized for the usage of the 60 GHz unlicensed band for wireless local area networks (WLANs). By using this mmw WLAN, multi-Gbps rate can be achieved to support bandwidth-intensive multimedia applications. Exhaustive search along with beamforming (BF) is usually used to overcome 60 GHz channel propagation loss and accomplish data transmissions in such mmw WLANs. Because of its short range transmission with a high susceptibility to path blocking, multiple number of mmw access points (APs) should be used to fully cover a typical target environment for future high capacity multi-Gbps WLANs. Therefore, coordination among mmw APs is highly needed to overcome packet collisions resulting from un-coordinated exhaustive search BF and to increase the total capacity of mmw WLANs. In this paper, we firstly give the current status of mmw WLANs with our developed WiGig AP prototype. Then, we highlight the great need for coordinated transmissions among mmw APs as a key enabler for future high capacity mmw WLANs. Two different types of coordinated mmw WLAN architecture are introduced. One is the distributed antenna type architecture to realize centralized coordination, while the other is an autonomous coordination with the assistance of legacy Wi-Fi signaling. Moreover, two heterogeneous network (HetNet) architectures are also introduced to efficiently extend the coordinated mmw WLANs to be used for future 5th Generation (5G) cellular networks.Comment: 18 pages, 24 figures, accepted, invited paper

    IEEE 802.11n WLAN์—์„œ ํ”„๋ ˆ์ž„ ์ „์†ก ์‹œ๊ฐ„ ์กฐ์ ˆ์„ ํ†ตํ•œ ๋„คํŠธ์›Œํฌ ์„ฑ๋Šฅ ํ–ฅ์ƒ MAC ํ”„๋กœํ† ์ฝœ

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    ํ•™์œ„๋…ผ๋ฌธ (๋ฐ•์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ์ „๊ธฐยท์ปดํ“จํ„ฐ๊ณตํ•™๋ถ€, 2013. 8. ์ตœ์ข…ํ˜ธ.์ตœ๊ทผ ์Šค๋งˆํŠธํฐ, ํƒœ๋ธ”๋ฆฟ PC ๋“ฑ์˜ ๋ฌด์„  ๋„คํŠธ์›Œํฌ๋ฅผ ์‚ฌ์šฉํ•˜๋Š” ๋ชจ๋ฐ”์ผ ๊ธฐ๊ธฐ์˜ ์‚ฌ์šฉ์ด ๊ธ‰์ฆํ•จ์— ๋”ฐ๋ผ ๋ฌด์„  ๋žœ (wireless local area network (WLAN))์— ๋Œ€ํ•œ ์ˆ˜์š”๊ฐ€ ๋น ๋ฅด๊ฒŒ ์ฆ๊ฐ€ํ•˜๊ณ  ์žˆ๋‹ค. ํ•˜์ง€๋งŒ, IEEE 802.11 ํ‘œ์ค€์—์„œ ๊ธฐ๋ณธ์ ์œผ๋กœ ์‚ฌ์šฉํ•˜๋Š” MAC (medium access control) ํ”„๋กœํ† ์ฝœ์ธ DCF (distributed coordination function) ๋Š” single-cell ๋„คํŠธ์›Œํฌ์—์„œ MAC ํšจ์œจ (MAC efficiency) ์„ฑ๋Šฅ์ด ๋–จ์–ด์ง€๋Š” ๋ฌธ์ œ์ ๊ณผ ad-hoc ๋„คํŠธ์›Œํฌ์—์„œ ๋…ธ๋“œ๊ฐ„์— ๊ณตํ‰์„ฑ ์„ฑ๋Šฅ์ด ํฌ๊ฒŒ ์ €ํ•˜ ๋˜๋Š” ๋ฌธ์ œ์ ์„ ์ง€๋‹ˆ๊ณ  ์žˆ๋‹ค. ๋ณธ ๋…ผ๋ฌธ์—์„œ๋Š” ์ด๋Ÿฌํ•œ ๋„คํŠธ์›Œํฌ์—์„œ DCF๊ฐ€ ์ง€๋‹ˆ๊ณ  ์žˆ๋Š” ๋ฌธ์ œ์ ์„ ๊ฐ๊ฐ ํ•ด๊ฒฐํ•  ์ˆ˜ ์žˆ๋Š” ๋‘ ๊ฐ€์ง€ ๋‹ค๋ฅธ ๋ฐฉ์‹์˜ MAC ํ”„๋กœํ† ์ฝœ๋“ค์„ ์ œ์•ˆํ•˜์˜€๋‹ค. ๊ธฐ์กด์˜ MAC ํ”„๋กœํ† ์ฝœ์—์„œ๋Š” ํŒจํ‚ท (packet) ์ด๋‚˜ ํ”„๋ ˆ์ž„ (frame) ์˜ ํฌ๊ธฐ๊ฐ€ ์ •ํ•ด์ง€๋ฉด, ๊ฐ ๋…ธ๋“œ (node) ์˜ ๋ฐ์ดํ„ฐ ์ „์†ก ์†๋„์— ๋”ฐ๋ผ (data transmission rate) ํ”„๋ ˆ์ž„ ์ „์†ก ์‹œ๊ฐ„ (frame transmission duration) ์ด ์ •ํ•ด์กŒ๋‹ค. ํ•˜์ง€๋งŒ, ๋ณธ ๋…ผ๋ฌธ์—์„œ๋Š” IEEE 802.11n/ac/ad ํ‘œ์ค€์—์„œ ์‚ฌ์šฉํ•˜๋Š” ํ”„๋ ˆ์ž„ ๊ฒฐํ•ฉ (frame aggregation) ๊ณผ block ACK ๊ธฐ๋ฒ•์„ ์ด์šฉํ•˜์—ฌ ํ”„๋ ˆ์ž„ ์ „์†ก ์‹œ๊ฐ„์„ ์ •ํ™•ํžˆ ์กฐ์ ˆ ํ•  ์ˆ˜ ์žˆ๋Š” ๋ฐฉ๋ฒ•์„ ์ œ์•ˆํ•˜์˜€๋‹ค. ๋งŒ์•ฝ ์ด์™€๊ฐ™์ด ํ”„๋ ˆ์ž„ ์ „์†ก ์‹œ๊ฐ„์„ ์šฐ๋ฆฌ๊ฐ€ ์›ํ•˜๋Š” ๋ฐ๋กœ ์ •ํ™•ํ•˜๊ฒŒ ์กฐ์ ˆ ํ•  ์ˆ˜ ์žˆ๊ฒŒ๋œ๋‹ค๋ฉด, ๋„คํŠธ์›Œํฌ ์ƒ์— ๊ฐ ๋…ธ๋“œ๋“ค์€ ์ถ”๊ฐ€์ ์ธ ์˜ค๋ฒ„ํ—ค๋“œ (overhead) ์—†์ด ์ž์‹ ์ด ์•Œ๋ ค์ฃผ๊ณ ์ž ํ•˜๋Š” ์ •๋ณด๋ฅผ ํ”„๋ ˆ์ž„ ์ „์†ก ์‹œ๊ฐ„์„ ์ด์šฉํ•˜์—ฌ ์ž์‹  ์ฃผ๋ณ€์˜ ๋…ธ๋“œ๋“ค์—๊ฒŒ ๊ฐ„์ ‘์ ์œผ๋กœ ์•Œ๋ ค์ค„ ์ˆ˜ ์žˆ๊ฒŒ ๋œ๋‹ค. ์ฆ‰, ํ”„๋ ˆ์ž„ ์ „์†ก ์‹œ๊ฐ„์„ ์ •ํ™•ํžˆ ์กฐ์ ˆํ•˜๋Š” ๊ฒƒ์„ ํ†ตํ•ด์„œ ๊ธฐ์กด์˜ ์ปจํŠธ๋กค ๋ฉ”์‹œ์ง€ (control message) ๊ฐ€ ์ˆ˜ํ–‰ํ–ˆ๋˜ ์—ญํ• ์ธ ์ •๋ณด ์ „๋‹ฌ์˜ ์—ญํ• ์„ ์ˆ˜ํ–‰ ํ•  ์ˆ˜ ์žˆ๊ฒŒ ๋œ๋‹ค. ์ด ์•„์ด๋””์–ด๋Š” ๊ฐ„๋‹จํ•˜์ง€๋งŒ, ๊ฐ ๋…ธ๋“œ๋“ค์ด ๋„คํŠธ์›Œํฌ ์„ฑ๋Šฅ์„ ํ–ฅ์ƒ ์‹œํ‚ฌ ์ˆ˜ ์žˆ๋Š” ์ •๋ณด๋ฅผ ๊ตํ™˜ํ•˜๋Š”๋ฐ ํšจ๊ณผ์ ์ด๋‹ค. ๋ณธ ๋…ผ๋ฌธ์—์„œ ์ œ์•ˆ๋œ ๋‘ ๊ฐœ์˜ MAC ํ”„๋กœํ† ์ฝœ๋“ค์€ ์ด ์•„์ด๋””์–ด๋ฅผ ํ™œ์šฉํ•˜์—ฌ ๋„คํŠธ์›Œํฌ ์„ฑ๋Šฅ์„ ํ–ฅ์ƒ์‹œํ‚ค๊ณ ์ž ํ•˜์˜€๋‹ค. ์šฐ์„ , IEEE 802.11 single-cell ๋„คํŠธ์›Œํฌ์—์„œ์˜ MAC ํšจ์œจ ์„ฑ๋Šฅ์„ ํ–ฅ์ƒ์‹œํ‚ค๊ธฐ ์œ„ํ•ด Transmission Order Deducing MAC (TOD-MAC) ํ”„๋กœํ† ์ฝœ์„ ์ œ์•ˆํ•˜์˜€๋‹ค. ์ตœ๊ทผ ๋ฌผ๋ฆฌ ๊ณ„์ธต (physical layer) ์—์„œ์˜ ์ „์†ก ์†๋„๊ฐ€ Gbps ๋ฒ”์œ„๊นŒ์ง€ ๋น„์•ฝ์ ์œผ๋กœ ๋ฐœ์ „ํ•˜๊ณ  ์žˆ๋‹ค. ํ•˜์ง€๋งŒ, ์ด๋Ÿฌํ•œ ๋ฌผ๋ฆฌ ๊ณ„์ธต ์ „์†ก ์†๋„์˜ ์ฆ๊ฐ€๊ฐ€ MAC ๊ณ„์ธต (MAC layer) ์—์„œ์˜ ์ฒ˜๋ฆฌ๋Ÿ‰ (throughput) ์„ฑ๋Šฅ ํ–ฅ์ƒ์— ํšจ๊ณผ์ ์œผ๋กœ ๊ธฐ์—ฌํ•˜์ง€ ๋ชปํ•˜๊ณ  ์žˆ๋Š” ์‹ค์ •์ด๋‹ค. ์™œ๋ƒํ•˜๋ฉด, ๋ฌผ๋ฆฌ ๊ณ„์ธต์—์„œ์˜ ์ „์†ก ์†๋„๊ฐ€ ์˜ฌ๋ผ ๊ฐˆ์ˆ˜๋ก PHY header์™€ ์ปจํ…์…˜ ์‹œ๊ฐ„ (contention time) ๋“ฑ์˜ MAC ๊ณ„์ธต์—์„œ ๋ฐœ์ƒํ•˜๋Š” ์˜ค๋ฒ„ํ—ค๋“œ๋“ค์ด ์ฒ˜๋ฆฌ๋Ÿ‰ ์„ฑ๋Šฅ ํ–ฅ์ƒ์— ํฐ ๊ฑธ๋ฆผ๋Œ์ด ๋˜๊ธฐ ๋•Œ๋ฌธ์ด๋‹ค. ์ด๋Ÿฌํ•œ ๋ฌธ์ œ์ ์„ ํ•ด๊ฒฐ ํ•˜๊ธฐ ์œ„ํ•ด์„œ TOD-MAC์—์„œ ๊ฐ ๋…ธ๋“œ๋“ค์€ ์ž์‹ ์˜ ์ „์†ก ์ˆœ์„œ์— ๋”ฐ๋ผ ์•ž์„œ ์ œ์•ˆ๋œ ๋ฐฉ๋ฒ•์„ ์ด์šฉํ•˜์—ฌ ํ”„๋ ˆ์ž„ ์ „์†ก ์‹œ๊ฐ„์„ ์ •ํ™•ํžˆ ์กฐ์ ˆํ•˜์—ฌ ๋ฐ์ดํ„ฐ๋ฅผ ์ „์†กํ•œ๋‹ค. ์ด๋ฅผ ํ†ตํ•ด ๋„คํŠธ์›Œํฌ ์ƒ์˜ ๊ฐ ๋…ธ๋“œ๋“ค์€ ์ž์‹  ์ฃผ๋ณ€ ๋…ธ๋“œ๋“ค์˜ ์ „์†ก ์ˆœ์„œ๋ฅผ ํ”„๋ ˆ์ž„ ์ „์†ก ์‹œ๊ฐ„์„ ํ†ตํ•ด ์ถ”์ •ํ•  ์ˆ˜ ์žˆ๊ฒŒ ๋˜๊ณ , ์ž์‹ ์—๊ฒŒ ์•Œ๋ ค์ง„ ์ „์†ก ์ˆœ์„œ ์ •๋ณด๋ฅผ ์ด์šฉํ•˜์—ฌ ์ˆœํ™˜ ์ˆœ์„œ ๋ฐฉ์‹ (round robin manner) ์œผ๋กœ ๋ฐ์ดํ„ฐ๋ฅผ ์ „์†กํ•œ๋‹ค. ์ด๋ฅผ ํ†ตํ•ด ์ œ์•ˆ๋œ MAC ํ”„๋กœํ† ์ฝœ์€ ์ „์†ก ์ถฉ๋Œ (transmission collision) ๊ณผ ์ปจํ…์…˜ ์‹œ๊ฐ„์„ ํšจ์œจ์ ์œผ๋กœ ์ค„์ผ ์ˆ˜ ์žˆ๊ฒŒ ๋˜๊ณ , CSMA/CA (carrier sensing multiple access with collision avoidance) ๊ธฐ๋ฐ˜์˜ single-cell ๋„คํŠธ์›Œํฌ์—์„œ์˜ MAC ํšจ์œจ์„ ๊ทน๋Œ€ํ™” ์‹œํ‚ฌ ์ˆ˜ ์žˆ๊ฒŒ ๋œ๋‹ค. ๋˜ํ•œ, ์‹คํ—˜์„ ํ†ตํ•ด TOD-MAC์ด ๋‹ค์–‘ํ•œ ํ™˜๊ฒฝ์—์„œ ๋†’์€ ์ฒ˜๋ฆฌ๋Ÿ‰ ์„ฑ๋Šฅ๊ณผ, ์ข‹์€ short/long-term ์ฑ„๋„ ์ ์œ  ์‹œ๊ฐ„ ๊ณตํ‰์„ฑ (air-time fairness) ์„ฑ๋Šฅ์„ ๋ณด์—ฌ์ฃผ๋Š” ๊ฒƒ์„ ํ™•์ธํ•  ์ˆ˜ ์žˆ์—ˆ๋‹ค. ๋˜ํ•œ, ๋ณธ ๋…ผ๋ฌธ์—์„œ๋Š” IEEE 802.11 ad-hoc ๋„คํŠธ์›Œํฌ์—์„œ์˜ ์ตœ๋Œ€-์ตœ์†Œ ์ฑ„๋„ ์ ์œ  ์‹œ๊ฐ„ ๊ณตํ‰์„ฑ (max-min air-time fairness) ์„ ํ–ฅ์ƒ ์‹œํ‚ฌ ์ˆ˜ ์žˆ๋Š” Max-min Air-time Fairness MAC (MAF-MAC) ํ”„๋กœํ† ์ฝœ์„ ์ œ์•ˆํ•˜์˜€๋‹ค. ์ตœ๊ทผ IEEE 802.11 ad-hoc ๋„คํŠธ์›Œํฌ๋ฅผ ๊ธฐ๋ฐ˜์œผ๋กœํ•œ ์„œ๋น„์Šค์— ๋Œ€ํ•œ ์š”๊ตฌ๊ฐ€ ๋น ๋ฅด๊ฒŒ ์ฆํ•˜ํ•˜๋ฉด์„œ, ad-hoc ๋„คํŠธ์›Œํฌ์—์„œ ๋…ธ๋“œ๋“ค ๊ฐ„์— ๊ณตํ‰ํ•œ ์„œ๋น„์Šค๋ฅผ ์ œ๊ณตํ•˜๋Š” ๊ฒƒ์ด ์ค‘์š”ํ•œ ๋ฌธ์ œ๊ฐ€ ๋˜๊ณ  ์žˆ๋‹ค. ์ด๋ฅผ ์œ„ํ•ด MAF-MAC์—์„œ๋Š” ๊ฐ ๋…ธ๋“œ๋“ค์ด ์ž์‹ ์˜ ์ฑ„๋„ ์ ์œ  ์‹œ๊ฐ„์— ๋Œ€ํ•œ ์ •๋ณด๋ฅผ ํ”„๋ ˆ์ž„ ์ „์†ก ์‹œ๊ฐ„์„ ํ†ตํ•ด ์ฃผ๋ณ€ ๋…ธ๋“œ๋“ค์—๊ฒŒ ์•Œ๋ ค์ฃผ๊ณ , ๊ฐ ๋…ธ๋“œ๋“ค์€ ์ด ์ •๋ณด๋ฅผ ์ด์šฉํ•˜์—ฌ ์ž์‹ ์˜ contention window (CW) ๊ฐ’์„ ์ ์ ˆํ•˜๊ฒŒ ์กฐ์ ˆํ•˜์—ฌ ad-hoc ๋„คํŠธ์›Œํฌ์—์„œ์˜ ์ตœ๋Œ€-์ตœ์†Œ ์ฑ„๋„ ์ ์œ  ์‹œ๊ฐ„ ๊ณตํ‰์„ฑ ์„ฑ๋Šฅ์„ ํ–ฅ์ƒ์‹œํ‚ค๊ณ ์ž ํ•˜์˜€๋‹ค. ์ด๋ฅผ ํ†ตํ•ด ์ œ์•ˆ๋œ MAC ํ”„๋กœํ† ์ฝœ์€ ๋„คํŠธ์›Œํฌ์— ์žˆ๋Š” ๋…ธ๋“œ๋“ค์—๊ฒŒ ๋ณด๋‹ค ๊ณตํ‰ํ•œ ์„œ๋น„์Šค๋ฅผ ์ œ๊ณตํ•จ๊ณผ ๋™์‹œ์— ์ฑ„๋„ ์ ์œ ์œจ๊ณผ ์‚ฌ์šฉ์œจ์„ ํšจ์œจ์ ์œผ๋กœ ํ–ฅ์ƒ ์‹œํ‚ฌ ์ˆ˜ ์žˆ์—ˆ๋‹ค. ๋˜ํ•œ, ๋‹ค๋ฅธ ์—ฐ๊ตฌ์—์„œ ์ œ์•ˆ๋œ ํžˆ๋“  ๋…ธ๋“œ ๊ฐ์ง€ (hidden node detection) ๋ฐฉ๋ฒ•๊ณผ ํžˆ๋“  ๋…ธ๋“œ ํ•ด๊ฒฐ (hidden node resolving) ๋ฐฉ๋ฒ•์„ MAF-MAC์— ์ ์šฉํ•จ์œผ๋กœ์จ ad-hoc ๋„คํŠธ์›Œํฌ์—์„œ ๋ฐœ์ƒ ํ•  ์ˆ˜ ์žˆ๋Š” ํžˆ๋“  ๋…ธ๋“œ ๋ฌธ์ œ๋ฅผ ํšจ๊ณผ์ ์œผ๋กœ ํ•ด๊ฒฐ ํ•  ์ˆ˜ ์žˆ์—ˆ๋‹ค. ์‹œ๋ฎฌ๋ž˜์ด์…˜์„ ํ†ตํ•ด ํžˆ๋“  ๋…ธ๋“œ์˜ ์กด์žฌ ์—ฌ๋ถ€์™€ ๊ด€๊ณ„ ์—†์ด ๋‹ค์–‘ํ•œ ํ™˜๊ฒฝ์—์„œ MAF-MAC์— ๊ธฐ๋ฐ˜ํ•œ ๋ฐฉ๋ฒ•์ด ์ข‹์€ ์ฑ„๋„ ์ ์œ  ๊ณตํ‰์„ฑ ์„ฑ๋Šฅ์„ ๋ณด์—ฌ์คŒ๊ณผ ๋™์‹œ์— ํšจ์œจ์ ์œผ๋กœ ์ฑ„๋„์„ ์‚ฌ์šฉํ•˜๊ณ  ์žˆ๋‹ค๋Š” ๊ฒƒ์„ ํ™•์ธ ํ•  ์ˆ˜ ์žˆ์—ˆ๋‹ค.The demand for wireless local area network (WLAN) has drastically increased due to the prevalence of the mobile devices such as smart phones and tablet PCs. However, the distributed coordination function (DCF), which is the basic MAC protocol used in IEEE 802.11 WLANs, needs to be improved on MAC efficiency in single-cell networks and fairness performance in ad-hoc networks. In this dissertation, we propose two MAC protocols that can enhance MAC efficiency in single-cell network, and max-min air-time fairness in ad-hoc network by adjusting frame transmission duration, respectively. In the traditional MAC protocol, the length of a packet or a frame is usually fixed and the transmission duration is determined by the data rate. However, we show how each node can precisely adjust the transmission duration when the frame aggregation and block ACK features are used in very high-speed IEEE 802.11n/ac/ad WLANs. If the transmission duration can be precisely controlled, it plays the role usually carried out by a control message. Therefore, a node can indirectly announce necessary information to the other nodes, which can sense the transmission of the node, without incurring any overhead. This idea is simple, but very effective to enhance the network performance by exchanging the necessary information without overheads. First, we propose the Transmission Order Deducing MAC (TOD-MAC) protocol to improve MAC layer efficiency in IEEE 802.11 single-cell network. Recently, the physical (PHY) layer transmission rate increases to Gbps range in the IEEE 802.11 WLANs. However, the increase in the PHY layer transmission rates does not necessarily translate into corresponding increase in the MAC layer throughput of IEEE 802.11 WLANs because of MAC overheads such as PHY headers and contention time. TOD-MAC precisely controls the frame length and transmission duration to indirectly provide necessary information to a node to determine the transmission order among all the nodes in a network. Each node transmits frames of different duration, and thus the other nodes can determine the time when they can transmit, which has the same effect as announcing the transmission order, without using a control message. Each node transmits a frame in a round robin manner, which minimizes the idle time between two consecutive transmissions without collisions, and significantly enhances the MAC efficiency in very high speed CSMA/CA wireless networks. The results of extensive simulations indicate that TOD-MAC achieves high throughput performance, short/long-term air-time fairness in multi-rate networks and excellent transient behavior in dynamic environments. Secondly, we propose Max-min Air-time Fairness MAC (MAF-MAC) to improve max-min air-time fairness in IEEE 802.11 ad-hoc networks. As the demand for services based on ad-hoc networks rapidly increases, enhancing fairness among nodes becomes important issue in ad-hoc networks. The concept of max-min fairness is that a node may use more channel resource as long as it does take away the channel resource from the other nodes who uses less channel resource. In MAF-MAC, the transmission duration is adjusted so that it can indirectly perform the function of a control message in announcing the state of a node, called the busy time ratio. On the basis of this information, each node adjusts its CWCW value to improve max-min air-time fairness. Moreover, we also adopt the hidden node detection and resolving mechanism to MAF-MAC to improve the max-min air-time fairness even when there are hidden nodes in ad-hoc networks. We show through simulation that MAF-MAC incorporating hidden node detection/resolution mechanisms can provide good air-time fairness with high channel occupation and utilization ratio whether or not there are hidden nodes in the network.Docto

    Improving the Performance of Wireless LANs

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    This book quantifies the key factors of WLAN performance and describes methods for improvement. It provides theoretical background and empirical results for the optimum planning and deployment of indoor WLAN systems, explaining the fundamentals while supplying guidelines for design, modeling, and performance evaluation. It discusses environmental effects on WLAN systems, protocol redesign for routing and MAC, and traffic distribution; examines emerging and future network technologies; and includes radio propagation and site measurements, simulations for various network design scenarios, numerous illustrations, practical examples, and learning aids
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