Performance comparison of IEEE 802.11g and IEEE 802.11n in the presence of interference from 802.15.4 networks S. Haani Masood Department of Electrical Engineering, McGill University Email: firstname.lastname@example.org
Abstract - Recent advances in wireless technology has led
to the introduction of new devices utilizing the 2.4GHz industrial scientific and medical (ISM) unlicensed band traditionally used by Wireless LANS (WLAN). The most popular amongst them is the IEEE 802.15.4 used in low rate wireless personnel area networks. Moreover, the increasing demand of higher data rate in WLANs has prompted the emergence of the 802.11n protocol which is being widely adopted due to its increased performance (higher data rates up to 300Mbps/channel, MIMO). IEEE 802.11n uses two 20MHz wide channels for its operation, rather than a single 20MHz as in other IEEE 802.11 PHY. Avoiding channel overlap between IEEE 802.15.4 and IEEE 802.11 networks is therefore difficult. Interoperability and coexistence between these networks become key issues and must be catered to guarantee satisfactory performance of both networks. In this paper we compare the packet error rate (PER) and maximum throughput of IEEE 802.11n and IEEE 802.11g under interference from IEEE 802.15.4 by using MATLAB to simulate the IEEE PHY for 802.11n and 802.11g networks.
nodes, type of equipment, environment and cannot be generalized. There have been other studies investigating the co-existence of IEEE 802.11b/g networks with IEEE 802.15.4 nodes. To the best of the author‟s knowledge, there has been no such study for the performance of IEEE 802.11n networks under interference from IEEE 802.15.4. In this paper, we compare the performance of IEEE 802.11n and IEEE 802.11g in the presence of interference from IEEE 802.15.4 networks. The PER and Maximum Throughput are used as performance measures. The PER is obtained from the Bit Error Rate (BER). Bit Error Rate in such networks is dependent on the Signal to interference and Noise ratio (SINR). The maximum throughput is obtained by measuring the number of successful transmissions of the packets on each network using simulations. To determine these performance metrics we simulate the physical layer of each WLAN protocol (IEEE 802.11n and IEEE 802.11g) in the presence of Flat Fading channels (which is a general assumption in indoor environments ). The BER and maximum throughput measurements can be obtained from the results of this simulation. To include the constraints on these measurements provided by IEEE 802.15.4 we next introduce the communications happening over IEEE 802.15.4 as interference for the IEEE 802.11 network. Changes have been made in the physical layer of IEEE 802.11n to support Multiple Input Multiple Output (MIMO-OFDM) communications and increased data-rate (300Mbit/s/channel) which suggests a difference in performance compared to IEEE 802.11g which has a Single Input Single Output (SISO) based physical layer employing only OFDM (54Mbits/s/channel). The analytic results for both protocols are compared with the simulation results. This paper is organized as follows. Section 2 briefly overviews the IEEE 802.15.4 and IEEE 802.11 protocols. In Section 3, the BER of the IEEE 802.11g and IEEE 802.11n using SINR is evaluated. It also describes the interference model of IEEE 802.15.4 and IEEE
IEEE 802.15.4 is establishing its place in the market as an enabler for emerging wireless sensor networks (WSNs) . It utilizes the same 2.4 GHz ISM band as IEEE 802.11 WLAN networks. Due to supporting same complimentary applications, they are likely to be collocated within the interfering range of each other. WLANs on the other hand are striving to achieve the increasing higher data rate demand and its performance under the interference from such networks needs to be evaluated. There have been some previous studies about the coexistence of IEEE 802.11 with IEEE 802.15.4. According to   IEEE...
References: % counting the errors initial_ = (real(yt)>0); % counting the errors nErr(interference) = size(find(initial_ - ipBit),2); clear yt; end Rate_OFDM_MIMO_Inter = ((size_input - nErr)/size_input)*30; simBer_OFDM_MIMO_Inter = (nErr/(2*10000))*100;
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