Mobile WiMAX system performance – simulated versus experimental results

This paper addresses the downlink performance of mobile WiMAX operating at 2.3GHz in an urban environment. The analysis includes a comparison of simulated and experimental results. Simulated packet error rate (PER) versus Signal to Noise Ratio (SNR) graphs are generated on a per link-speed basis using a fully compliant 512 carrier mobile WiMAX simulator. Experimental data is gathered using a carrier-class basestation, a mobile-WiMAX enabled laptop, and a suite of application layer logging software. An H264 AVC encoder and IP packetisation unit is used to transmit video to a mobile client. Results show strong agreement in terms of simulated and captured PER. Using this data, the downlink operating range is evaluated as a function of the Effective Isotropic Radiated Power (EIRP) and path loss exponent. Results indicate that at low EIRP (32 dBm) the expected outdoor operating range is around 200-400m. Applying the UK OFCOM regulations for licensed operation in the 2.5GHz band, downlink operation in excess of 2km can be achieved

Towards a deployment tool for wireless access networks with minimal power consumption

The power consumption of wireless access networks will become an important issue in the coming years. In this paper, the power consumption of base stations for mobile WiMAX, HSPA, and LTE is modelled. This power consumption is related to the coverage of the base station. The considered technologies are compared according to their energy efficiency for different bit rates at a bandwidth of 5 MHz. For this particular case and based on the assumptions of parameters of the specifications, HSPA is the least energy-efficient technology. Until a bit rate of 11 Mbps LTE is the most energy-efficient while for higher bit rates mobile WiMAX performs the best. Furthermore the influence of MIMO is investigated. A decrease of about 80% for mobile WiMAX and about 74% for HSPA and LTE for the power consumption per covered area is found for a 4*4 MIMO system compared to a SISO system. The introduction of MIMO has thus a positive influence on the energy efficiency of the considered technologies. The power consumption and coverage model for base stations is then used to develop a prediction tool for power consumption in wireless access networks

Kajian Penggunaan Standar Mobile Wimax Untuk Sistem Komunikasi Taktis Militer

Sistem komunikasi taktis merupakan sistem komunikasi yang diterapkan di area yang luas dengan kriteria tertentu diantaranya mampu menjadi Super Network akibat banyaknya unit yang bergabung dalam sebuah operasi militer, menuntut transfer data yang relatif cepat, diperkuat dengan keamanan transmisi, serta memungkinkan diterapkan pada infrastruktur yang tidak tetap. Pada penelitian ini dilakukan pengkajian mengenai pemilihan teknologi Mobile Wimax sebagai teknologi komunikasi alternatif yang bisa diterapkan di daerah taktis. Pengkajian yang dilakukan menggunakan dua metode, yaitu dengan simulasi untuk menguji kemampuan security pada Mobile Wimax terhadap gangguan jamming dan studi pustaka mengenai kriteria yang harus dipenuhi dalam sistem komunikasi taktis seperti kemampuan Mobile Wimax menjadi Super Network, perbaikan rute apabila suatu saat terjadi pemblokan rute pada proses pentransmisian informasi, dan mekanisme yang membolehkan apabila sebuah unit baru ingin bergabung dalam sebuah jaringan mesh yang sudah aktif sebelumnya. Dari hasil simulasi yang telah dilakukan dapat diketahui bahwa sistem Orthogonal Frequency Division Muliplexing (OFDM) yang ada pada Mobile Wimax harus dimodifikasi dengan memberikan convolutional coding dan interleaver agar tahan terhadap gangguan jamming. Sedangkan pada hasil dari studi pustaka menunjukkan bahwa teknologi Mobile Wimax mampu memenuhi kriteria-kriteria yang telah ditetapkan

Multicast broadcast services support in OFDMA-based WiMAX systems [Advances in mobile multimedia]

Multimedia stream service provided by broadband wireless networks has emerged as an important technology and has attracted much attention. An all-IP network architecture with reliable high-throughput air interface makes orthogonal frequency division multiplexing access (OFDMA)-based mobile worldwide interoperability for microwave access (mobile WiMAX) a viable technology for wireless multimedia services, such as voice over IP (VoIP), mobile TV, and so on. One of the main features in a WiMAX MAC layer is that it can provide'differentiated services among different traffic categories with individual QoS requirements. In this article, we first give an overview of the key aspects of WiMAX and describe multimedia broadcast multicast service (MBMS) architecture of the 3GPP. Then, we propose a multicast and broadcast service (MBS) architecture for WiMAX that is based on MBMS. Moreover, we enhance the MBS architecture for mobile WiMAX to overcome the shortcoming of limited video broadcast performance over the baseline MBS model. We also give examples to demonstrate that the proposed architecture can support better mobility and offer higher power efficiency

Influence of technical improvements on the business case for a mobile WiMAX network

From a technical point of view, Mobile WiMAX may offer an appropriate solution for delivering broadband wireless access. Two remaining questions, however, are whether the rollout of a WiMAX network is economically feasible or not, and how technical improvements like MIMO, beamforming and turbo-coding can influence the business case. In this paper different technical scenarios for a Mobile WiMAX rollout are defined and evaluated from an economic as well as a technical perspective. To obtain realistic figures, we have defined a business case for a Mobile WiMAX rollout in Belgium, a country with a high wired broadband penetration. Further, we give an indication about the feasibility of a Mobile WiMAX network related to the population density. Finally, as the introduction of a new technology involves a lot of uncertainties, a detailed sensitivity analysis on both the economic and technical input parameters is performed to determine the most influencing parameters