Cellular Radio Communications Engineering Education through Laboratory Experimentation G. LIODAKIS(1), E. KOKKINOS(1), I.O. VARDIAMBASIS(2), D. PATERAKIS(2), and M. MAVREDAKIS(2) (1) (2) Laboratory of Telecommunication Systems, Networks and Applications Microwave Communications and Electromagnetic Applications Laboratory Telecommunications Division, Department of Electronics, Technological Educational Institute (T.E.I.) of Crete - Chania Branch, Romanou 3, Chalepa, 73133 Chania, Crete, GREECE Abstract: - This paper presents the issues related to the establishment of a series of laboratory experiments in the area of cellular radio communications at the Technological Educational Institute of Crete/ Department of Electronics (TEIoC/DoE), Greece. The experiments described here consist of hands-on experimentation, simulation work and small project-based activities, and complements the telecommunications engineering students’ theoretical knowledge in an effective manner. The overall laboratory course illustrates the complex tasks related to cellular radio engineering, can be regarded as a paradigm for an integrated approach for students’ experimentation in this area and as a case study for development of such a laboratory course with limited financial resources. The paper concludes with comments about the students’ attitude and experiences as well as with further directions for enhancing the laboratory curriculum, in line with the evolution of cellular communications area. Keywords: - Cellular communications, Hands-on experimentation, Simulation. 1 Introduction During the last decades, the telecommunications field experienced extraordinary development. The need to exchange information with a user, anywhere and anytime, led to cellular mobile networks, which are wireless networks integrating several services. The success of second generation (2G) mobile systems prompted the development of third-generation (3G) mobile systems for the provision of high data-rate services. Furthermore, research efforts are currently developing frameworks for future 4G networks. The aforementioned evolutions pose challenging problems in issues such as, performance modeling, teletraffic analysis, mobility, radio propagation and fading in reduced cell sizes, interference environment, dynamic resource assignment, modulation and multiple access schemes, multiple antenna techniques, etc. Therefore, as the landscape of the profession is continuously changing, third level educational institutes are realigning what they teach in telecommunications engineering. The electronics engineering programs at the Technological Educational Institutes in Greece are, after the reform of 2001, organized as a 4-year program, including the conduction of a student thesis and incorporating half a year of industrial placement for workplace learning. As it concerns the TEIoC/DoE, Greece, in particular, a new curriculum is under implementation from the academic year 2002-3. The curriculum consists of a number of courses organized according to the European Credit Transfer System – ECTS (most of them taught in combination with laboratory exercises) which leads to a specialization in the areas of automation and telecommunications (during the 6th and 7th semesters). The laboratory experiments presented in this paper are part of the whole series of experiments carried out in the framework of the elective senior course “Mobile and Satellite Communication Systems” (7th semester). For successful students’ understanding and treatment of cellular mobile communication systems’ problems during experimentation, some theoretical knowledge is presumed. Students can obtain these theoretical knowledge in other courses (Telecommunication Systems, Digital Tele-communication Systems, Theoretical and Computational Electromagnetics, Antenna Analysis and Design, Microwave Theory and Applications), and the course under consideration. It should be noted that the development of the experiments was from nearscratch with limited financial resources. Furthermore, the overall design process of the experiments focused on the integration of circuits and systems aspects of current cellular technology. A high percentage of papers in proceedings and journals on education deal with laboratory implementation in various disciplines related to electronics engineering: Electronics, Electric Power Systems, Signal Theory, Wireless Communications, Computer Networks, Information Technologies, and so on. These laboratory implementations rely either on project-based experimentation [1], on hands-on experimentation [2], on simulation [3]-[4], or on virtual laboratory implementations [5]. However, to the extent of the authors’ knowledge, an integrated approach (relying on projects, hands-on, emulation and simulation) to cover the practical issues of the whole “Mobile and Satellite Communication Systems” course (and of cellular communications engineering, in particular) with an academic and research-oriented content, has not been achieved so far. The organization of the paper is as follows: In Section 2, background information about the laboratory experimentation activities and equipment used, is presented. In Section 3, a detailed description of four laboratory experiments in cellular radio communications engineering, is given. Finally, in Section 4, further development plans under examination and/or implementation for this part of the overall lab course as well as some concluding remarks are presented. 2 Background Cellular radio communication engineering is a rather complex task in which a large number of concepts must be mastered, in order to be able to optimize this type of systems. The overall optimization process should guarantee that an inadequate coverage, a high probability of blocked or dropped-out calls, low transmission quality, etc., are to be avoided. In particular, cellular radio planning involves a thorough knowledge of propagation effects in various environments (indoor, urban, suburban, open areas, etc.). As propagation effects are extremely variable along the Mobile Subscriber’s (MS) route, the use of statistical definitions for both coverage quality and interference levels, is necessary. Furthermore, traffic planning must be performed in order to allocate to each Base Station (BS) the sufficient radio resources and cope with the traffic demand in the cell under consideration. The traffic-handling capacity of a BS, when expressed in statistical terms, is by defining an acceptable Grade of Service (GOS) or probability of blocked calls. Another aspect that requires attention is adequate selection of carrier frequencies used in every BS in order to keep interference below acceptable limits. Finally, transceiver design issues should be regarded when considering the integration of circuits and systems aspects in a cellular communications environment. Taking into account all the aforementioned issues, the laboratory experiments implemented so far and presented here (as well as for the other parts of the whole course) are carried out through: Hands-on experimentation and emulation for understanding basic principles, propagation effects and sources of interference in a cellular system architecture, as well as for transmitter design and performance evaluation. Simulation study of radio and traffic planning aspects of a cellular system. Figure 1. Laboratory Equipment: Spectrum Analyzer and Educational Kits. The overall educational process is complemented by a small project-based laboratory-related activity and is supported by the e-learning platform of TEIoC/DoE (for student reports submission, for provision of additional educational material related to the laboratory experiments, for the communication between students and the instructors, etc.). Also, a lab manual containing description of the experimental procedures and selected theoretical issues related to each experiment, is available. The equipment and tools used during the laboratory experimentation include (see Fig. 1): Oscilloscope, Spectrum analyzer (HP 8594E), RF signal generator, two kits for Gaussian Minimum Shift Keying (GMSK) and Direct Sequence (DS) spread spectrum transmitters, walkie-talkies (operating at the 155MHz frequency of range) for emulating a cellular system, a software tool developed at TEIoC/DoE for traffic calculations as well as simulation software (the EDX SignalPro planning tool which is operational over a specific geographical area under study).Taking into account that the oscilloscope, the spectrum analyzer, and the RF generator were available at the Telecommunications Sector Labs of TEIoC/DoE and that the kits were implemented free of charge by contacting chip manufacturers, we had to purchase only the set of walkie-talkies. One of the difficulties of carrying out the laboratory experiments (from both the students’ and instructors’ point of view), is the need to cover a variety of topics about which most of the students have had little exposure. For example, although probability theory is known to the students, there exists some uniqueness to the application of the concepts to issues concerning cellular radio communications (outage probabilities, queuing theory as related to trunking, the statistical nature of fading, etc.). Therefore, as a prerequisite for the whole course, knowledge and skills acquired at previous courses (see Section 1), is presumed. In addition, although the whole “Mobile and Satellite Communications” course is offered as an elective to senior students, the enrollments are high and increased since the introduction of lab experimentation in the course (September 2003). It is felt that these high enrollments are a result of the strength and visibility of the telecommunications specialization in our Department as well as the strong job market in Greece for radio engineers. Such a positive students’ feedback is also expressed in their lab reports and by the motivation they apply the theoretical concepts to a cellular communications environment. Finally, as it concerns the grading policy, is as follows: lab reports (20%), small project-based laboratory-related activity (20%), and final examination (60%). 3 Lab Experiments Details The six laboratory experimentation activities for cellular radio communications engineering are as depicted in Fig. 2 and described as follows: 3.1 Experiment 1: Traffic planning and Resource allocation Figure 2. Organisation of the cellular communications laboratory experimentation activities. The primary objective of any mobile communication system is to provide coverage for a large number of users scattered over a wide geographic area, using the limited resources (like spectrum, transmitted power) available. Furthermore, cellular radio systems rely on trunking which, in turn, exploits the statistical behavior of the users. Thus, we developed a software tool using the Visual Basic programming language and modeling the fundamentals of trunking theory, as expressed by Erlang B formula which calculates the GOS = Probability of Blocking. It should be noted that the Erlang B formula is used when the lost calls are cleared due to unavailability of radio channels; in such a case the system does not have a mechanism to queue the call request, and the user must retry initiating the call later. Other assumptions when using the Erlang B formula include that there exists an infinite number of users requesting the radio resources, calls arrive as determined by a Poisson distribution, and that the call holding time (in general it takes into account the call length, the call overhead time, plus queueing time, if any) is exponentially distributed. The software tool models, also, the case of a cellular system where the lost calls are queued. Then, as determined by the Erlang C formula, the likelihood of a call not having immediate access to a radio channel depends on the Probability [delay>0]. In such case, the GOS of the cellular system under study, where blocked calls are delayed more than t seconds, is given by, [6]: Probability [delay>t] = Probability [delay>0] * exp(-(C-A)t/H) (C: number of trunked channels, A: total traffic load (in Erlang), H: the holding time of a typical call in seconds). The assumptions when using the Erlang C delay formula include a Poisson arrival process, an infinite number of traffic sources, exponential service times, and a First-in-First-out (FIFO) server queue where no calls leave the queue and the waiting area (queue) is as large as necessary (i.e. infinite). Therefore, during laboratory experimentation, we assume that our cellular system is a circuit switched system following either Erlang B or Erlang C models. Thus, the student is faced with various scenarios regarding the callers’ density (in callers/Km2), the average activity factor per user (in Erlang), etc. for proper system design. Other cellular concepts and design approaches (cell splitting, sectorization, densification of BSs, multilayer cell architecture, effect of channel bandwidth on the traffic carried by the system) related to traffic planning are also examined by the use of the software tool. Another set of issues that belong to radio resource allocation in cellular systems (spectrum efficiency, multiple access schemes, fixed and dynamic channel assignment algorithms), is also covered. Finally, the student is asked to carry out a cellular system design from scratch with specified capacity, taking into account both performance and cost criteria. 3.2 Experiment 2: Hands-on experimentation on Interference and Indoor propagation Reliability and performance in cellular radio systems depend on proper deployment, which includes careful site survey and design, in order to provide adequate coverage and capacity. However, both coherent and adjacent channel interference, are major limiting factors in the performance of cellular radio systems. As implied by the frequency reuse concept, in order to reduce cochannel interference, cochannel cells must be physically separated by a minimum distance to provide sufficient isolation. Also, as adjacent channel interference results from imperfect receiver filters which allow nearby frequencies to leak into the passband, it can be minimized through careful channel assignments. Furthermore, when considering radio propagation, propagation measurements in a mobile radio channel show that the average received signal strength at any point decays as a power law of the distance between the BS and the MS. In addition, when considering indoor radio propagation, the indoor radio channel is different from the traditional mobile radio channel. In fact, it is influenced by local features, such as the layout of the building, the construction materials, and the building type. During this laboratory experiment, students have a hands-on experience on interference and indoor radio propagation issues by means of walkie-talkies which emulate a cellular system architecture and are used as a MS, respectively. The RF signal generator represents an adjacent channel interference source, while the spectrum analyzer is used for power measurements. Following the guidelines in the lab manual, the students have the opportunity to: a) Understand basic cellular concepts (the cell radio coverage, the frequency reuse distance and the power control mechanism) b) Carry out the Carrier-to-Interference (C/I) measurements, when cochannel and adjacent channel interference sources are present. c) Consider parameters (building penetration, floor attenuation, working frequency) that affects pathloss, by taking the associated measurements. d) Be familiar with methods used by cellular radio engineers (when conducting site surveys, for characterization of indoor radio wave propagation, etc.) During experimentation for (a) and (b), students have to adjust the frequency and power transmitted by the walkie-talkies for emulating the operation of BSs. Furthermore, the position of the “BSs” is changing by students’ movements. In such a way, various C/I measurements are achieved, the power collected by the spectrum analyzer is varied, the quality of voice communication is affected, the cell radius can be redefined, etc. Considering experimentation for (c) and (b), students are guided by the lab manual to follow the required practical steps and compare their measurements with other experimental results (in other testbed scenarios, for other than the 155 MHz frequency range of the walkie-talkie frequencies, etc.), as derived from research papers. Thus, the aforementioned real measurements on real-world signals allow the student to address practical issues and phenomena often not observed otherwise. 3.3 Experiment 3: Radio planning In this laboratory experiment, the student is confronted with radio planning issues on a specific region through simulation. Actually, by changing various parameters and design assumptions, the student is involved in a trial and error procedure. The issues covered here include: a) path loss calculations by employing different propagation models (Okumura, Hata, COST 231, ITU-R, etc.), b) statistical variables, such as the percentage of time and locations, where a prespecified received power is exceeded, c) environmental issues (atmospheric absorption, climate type, etc.), d) terrain topography that affects the existence of a line-of-sight (LOS) or non line-of-sight (NLOS) communication path, e) antenna design issues (employment of an omnidirectional or a directional antenna, exploitation of space or polarization diversity), f) the locations where a handover occurs, g) general cellular system’s design issues (frequency, the height of the BSs and MSs, the transmitted power, etc.). 3.4 Experiment 4: Cellular network quality assessment The versatility and efficiency of simulation for performance evaluation and tradeoff analysis is exploited for the study of various cellular network architectures in this experiment. By the use of the same simulation software (as in Experiment 3.3) and the specific region under consideration, the student makes assessment of the following aspects of cellular network quality: a) Bit Error Rate (BER) predictions for various modulation schemes, receiver implementations, data rates, levels of cochannel interference and Additive White Gaussian Noise (AWGN) and speeds of the MSs. Thus, for example, the student can get BER patterns for the area, where a GSM system will be potentially deployed for coherent and differential detection receivers. b) C/(I+N) predictions as well as the effect of fading, for a MS moving in the area under study. Therefore, the student, by getting a quantified picture of the perceived QoS a user is experiencing, can identify problematic parts of the simulated region, investigate ways of quality improvement and seek for the cellular network quality optimization. 3.5 Experiment 5: GMSK and DS-spread spectrum transmitter issues In this experiment two kits developed at TEIoC/DoE are used for educational purposes and laboratory experimentation. They include a GMSK transmitter with a carrier frequency of 125MHz as well as a DS spread spectrum transmitter operating in the 450MHz frequency region. As it concerns the implementation of the DS spread spectrum transmitter, it is based on two PCBs in order to achieve a higher degree of modularity. The first PCB includes the Motorola microcontroller MC68HC12 for controlling the generation of the spreading code through a 15-bit shift register and the modulation circuit at the base band. The chip rate can be chosen from 0.1536 Mchips/sec to 1.2288 Mchips/sec, while the data rate is 9600 baud. The second PCB contains a synthesizer for the carrier generation of the overall transmitter and the frequency for the up-converter, the upconverter itself, as well as the band pass filter (BPF) and the high frequency amplifier. The spectrum display is the most common method for viewing RF modulation. The major benefits of this technique are the ability to view and measure the overall channel bandwidth, center frequency and sidebands and gross out-of-band anomalies. Therefore, the student by the use of the spectrum analyzer can get the GMSK modulation output signal spectrum, to observe the spread spectrum signal spectrum by altering the chip rate, to measure the power at the up-converter /BPF/RF amplifier outputs of the DS spread spectrum transmitter etc. Furthermore measurements at specific test points (at the output of the Gaussian low-pass filter of the GMSK modulator, at the output of the spreading code generator of the DS spread spectrum transmitter, etc.) of both kits in the time domain are taken by the students, letting them understand and study the architecture and design of both transmitters. 3.6 Experiment 6: Small project-based laboratory-related activity In this experimentation activity, students are encouraged to try their own variations of the prescribed experiments or to deal with other issues that are related to one or more of the former five experiments. Such issues include the experimentation of various resource allocation algorithms for cellular communication systems, the role of cellular radio planning tools when engineering a mobile system, the comparison of radiowave propagation measurement results for various wireless channels and cellular systems, the implementation issues of transceiver designs for mobile communications, etc. This experimentation activity takes place during the whole semester under the instructors’ guidance, followed by a presentation to all students at the end of the semester. 4 Further Directions and Conclusions The evolution and deployment of mobile cellular systems is characterized by the dominant role of IP series of protocols and the necessity for a cross-layer design approach in order to let the mobile user access a broad range of services in a transparent way. Also, in alignment with research carried out at the Telecommunications Division of TEIoC/DoE, and at the Communication Network and Telematics Applications (COMNETTA) Group in particular, the “cell layout” organization of the laboratory experiments described in this paper could be enhanced by: Traffic planning experimentation in a packetswitched environment Simulation study for the provision of various services. As an example, we are now considering the Push-to-talk service over cellular networks, by means of RPT/UDP/IP packet structures. Treatment of mobility management issues. As 3G and 4G mobile networks are characterized by high user density and high mobility as well as smaller cell sizes, the number of location updates and handovers is increasing. Therefore, simulation of such issues should be useful for students’ understanding of cellular systems operation. Other enhancements of the laboratory experiments of Fig. 2, that are already under implementation, include: Hands-on experimentation for the cellular system architectures of Digital Audio Broadcasting (DAB) and Digital Video Broadcasting (DVB) systems, [7]. Hands-on experimentation with the GMSK and DS-Spread Spectrum receivers, that are under implementation by students of TEIoC/DoE in the framework of their thesis. Study of fading effects by means of simulation in an RF environment as well as by hands-on experimentation in the baseband. In such a way, students will be able to characterize the propagation effects of a naturally occurring environment and assess cellular network quality issues. Simulation of a cellular system using the COMNET software package in order to let the student examine the role and effects of signaling traffic between key components of the system, such as the Mobile Switching Centre (MSC), the Home Location Register (HLR), the Visitor Location Register (VLR), etc. Concluding, the series of experiments developed on the basis of our findings in [8] and presented here , has a positive effect on student motivation, learning, and academic success, since its introduction to the whole course. The students gain experience, confidence and thorough understanding of concepts and design issues in cellular radio communication systems. Finally, as the purchase of professional tools used by mobile operators (such as Erricsson’s TEMS Cellplanner Universal, Nokia’s TOTEM Vantage or AirCom’s ASSET radio network planning and optimization software) could not be afforded by TEIoC/DoE, the overall laboratory course development may be regarded as a case study when limited financial resources are available. Acknowledgment This work was supported by the Greek Ministry of National Education and Religious Affairs and the European Union under the ΕΠΕΑΕΚ ΙΙ projects: “Archimedes – Support of Research Groups in TEI of Crete – Smart antenna study & design using techniques of computational electromagnetics and pilot development & operation of a digital audio broadcasting station at Chania (SMART-DAB)” and “Reformation of the Electronics Dept’s syllabus”. References [1] P.M. Shankar and B.A. Einstein, “Project-based instruction in wireless communications at the junior level”, IEEE Transactions on Education, vol. 43, no. 3, pp. 245-249, August 2000. [2] A.J. Lopez-Martin, “Teaching random signals and noise: an experimental approach”, IEEE Transactions on Education, vol. 47, no. 2, pp. 174-179, May 2004. [3] M.A. Olabe, “Telecommunications network design using modeling and simulation”, IEEE Transactions on Education, vol. 41, no. 1, pp. 3744, February 1998. [4] F. Perez-Fontan and J.M.H. Rabanos, “Educational cellular radio network planning software tool”, IEEE Transactions on Education, vol. 41, no. 3, pp. 203-215, August 1998. [5] L. Anido, M. Llamas, and M.J. Fernandez, “Labware for the Internet”, Computer Applications Engineering Education, no. 8, pp. 201-208, 2000. [6] T.S. Rappaport, “Cellular radio and personal communication study guide”, prepared for the Educational Activities Board of the IEEE. [7] I.O. Vardiambasis, G. Liodakis, E. Zaoutis, J.P. Makris, I. Kaliakatsos, G. Glentis, and V. Zacharopoulos, “Digital audio broadcasting simulation: A microwave communications’ exercise at the Technological Educational Institute of Crete”, WSEAS Transactions on Advances in Engineering Education, pp 90-93, vol. 1, iss. 1, Nov. 2004. [8] G. Liodakis, A. Manitis, M. Papadaki, and J. Kaliakatsos, “Bridging the expectations between academia and industry in electronic engineering by workplace learning and curriculum modifications”, Proceedings of the 2nd Balkan Region Conference on Engineering Education, pp. 152-155, Sibiu, Romania, 16-19 September 2003.