Due to high growth of users, enhanced user terminals and service development, the demandrnfor high data rate and new services are growing rapidly. Backhaul networks need to handlernthese huge volume of trafï¬c or else they will become bottleneck for the rest of the network.rnLOS-MIMO and millimeter wave band can be applied at wireless backhaul network forrncapacity enhancement. However, technological advancement alone cannot show the performancernacceptability and economic viability of an investment without detail technical andrneconomic feasibility assessment. On the other hand, operators like ethio telecom rather thanrndepending on vendor driven choice, should do localized techno-economic assessments.rnThis thesis work investigates and evaluates suitable scenarios of link capacity enhancingrntechniques for delivering broadband services at wireless backhaul. In particular, this workrnpresents techno-economic analysis of four scenarios: Single-Input Single-Output (SISO),rnLine-of-Site Multiple-Input Multiple-Output (LOS-MIMO), Millimeter wave (mmW) bandrnand Millimeter wave Multiple-Input Multiple-Output (mmW-MIMO) that can be used tornboost link capacity of wireless backhaul based on trafï¬c data requirements.rnThe studies are based on a modeling methodology for network value analysis that involverncapital expenditure (CAPEX), operational expenditure (OPEX), total costs of ownershiprn(TCO) and revenue calculation for all scenarios, while the overall technology deploymentrnï¬nancial or economic assessment is based on techno-economic evaluations such as netrnpresent value (NPV), internal rate of return (IRR) and pay-back period (PBP) economicrnindicators. For techno-economic evaluation, techno-economic assessment (TEA) model isrnimplemented in MATLAB and MS-excel, and consists of revenue and cost modeling parts.rnThe results indicate that, the pay-back period of the scenarios are: 0.9, 1.18, 1.226 andrn1.426 years for mmW band, MIMO, mmW-MIMO and SISO respectively. Regarding to NPVrnand IRR, all scenarios have positive NPV for the study periods and greater IRR value thanrndeï¬ned discounted rate. Sensitivity analysis also shows that, trafï¬c data rate is the mostrnsensitive parameter over CAPEX, OPEX and TCO that affect the revenue, which in turnrninfluences the rate of return on investment (ROI) period. Thus, the economic indicatorsrnimply that all scenarios are technically and economically feasible for deployment but thernscenarios should be deployed based on the requirements. Considering long period beneï¬t,rnmmW-MIMO is the best solution with highest NPV and IRR., and mmW band, MIMO andrnSISO are in 2rnndrnrdrnposition. Millimeter wave band is scenario with shortest ROI.